CN115502892A - Method and system for removing surface material of steel material during ultra-precise grinding - Google Patents
Method and system for removing surface material of steel material during ultra-precise grinding Download PDFInfo
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- CN115502892A CN115502892A CN202211423266.8A CN202211423266A CN115502892A CN 115502892 A CN115502892 A CN 115502892A CN 202211423266 A CN202211423266 A CN 202211423266A CN 115502892 A CN115502892 A CN 115502892A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B49/00—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation
- B24B49/12—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation involving optical means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B47/00—Drives or gearings; Equipment therefor
- B24B47/20—Drives or gearings; Equipment therefor relating to feed movement
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B49/00—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation
- B24B49/006—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation taking regard of the speed
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Abstract
The invention provides a method and a system for removing a steel ultra-precision grinding surface material, which relate to the technical field of steel grinding processing, and are characterized in that steel surface image information is collected, characteristic information of a steel surface is determined by performing characteristic extraction, grinding parameter information of a machine tool is obtained, grinding effect characteristics are determined, steel material information is obtained, grinding effect is determined, grinding degree calculation is performed according to the grinding effect and the surface defect characteristics, the grinding degree of a defect unit is determined, the grinding frequency requirement of the defect is further determined and marked, grinding track control information is obtained by performing grinding track analysis, and the grinding track control information is sent to a numerical control machine tool for grinding control.
Description
Technical Field
The invention relates to the technical field of machine tool machining, in particular to a method and a system for removing a surface material of steel through ultra-precision grinding.
Background
Steel is as one of the main material of present processing construction, not only use extensively but a great variety, simultaneously, steel can have certain damage in the application inevitable in-process, for example, surface crack, mar etc., in order to guarantee the normal application of steel, accessible digit control machine tool grinds relevant surface defect trouble, with the application quality of guarantee steel, now, because digit control machine tool still has certain technical limitation in the aspect of the discernment analysis processing of defect, control through external input parameter to the grinding, the flow is comparatively loaded down with trivial details and intelligent degree is low, make the grinding process of steel can't reach anticipated standard.
In the prior art, the grinding path planning analysis is not strict enough due to insufficient machine tool intelligence during grinding of surface materials of steel, so that the grinding efficiency is low.
Disclosure of Invention
The application provides a method and a system for removing a surface material for steel ultra-precision grinding, which are used for solving the technical problem that grinding path planning analysis is not strict enough to cause lower grinding efficiency due to insufficient machine tool intelligence when the surface material of steel is ground in the prior art.
In view of the above problems, the present application provides a method and a system for removing surface material in ultra-precision grinding of steel.
In a first aspect, the present application provides a method for removing a surface material in ultra-precision grinding of a steel material, the method comprising: carrying out full-surface acquisition on steel to be ground through image acquisition and processing equipment to obtain steel surface image information; extracting the characteristics of the steel surface image information to determine the steel surface characteristic information, wherein the steel surface characteristic information comprises surface defect characteristics and defect characteristic coordinate information; obtaining machine tool grinding parameter information, wherein the machine tool grinding parameter information comprises grinding wheel mesh number, feeding depth information and grinding rotating speed information; obtaining grinding effect characteristics according to the mesh number of the grinding wheel, the feeding depth information and the grinding rotating speed information, wherein the grinding effect characteristics comprise a corresponding relation between the grinding effect characteristics and the steel material; obtaining steel material information, determining a grinding effect from the grinding effect characteristics based on the steel material information, calculating a grinding degree according to the determined grinding effect and the surface defect characteristics of the steel surface, and determining a defect unit grinding degree; determining a defect grinding frequency requirement according to the defect unit grinding degree and the surface defect characteristics, and generating a mark according to the defect grinding frequency requirement to mark the surface defect characteristics; and carrying out grinding track analysis based on the defect grinding frequency marking of the surface defect characteristics and the defect characteristic coordinate information to obtain grinding track control information, and sending the grinding track control information to a numerical control machine tool to carry out grinding control according to the grinding track control information.
In a second aspect, the present application provides a system for removing surface material in ultra-precision grinding of steel, the system comprising: the image acquisition module is used for carrying out full-surface acquisition on steel to be ground through image acquisition and processing equipment to obtain steel surface image information; the characteristic extraction module is used for extracting the characteristics of the steel surface image information and determining the steel surface characteristic information, and the steel surface characteristic information comprises surface defect characteristics and defect characteristic coordinate information; the information acquisition module is used for acquiring machine tool grinding parameter information, wherein the machine tool grinding parameter information comprises the mesh number of a grinding wheel, feed depth information and grinding rotating speed information; the characteristic acquisition module is used for acquiring grinding effect characteristics according to the mesh number of the grinding wheel, the feeding depth information and the grinding rotating speed information, wherein the grinding effect characteristics comprise the corresponding relation between the grinding effect characteristics and the steel material; the grinding degree calculation module is used for obtaining steel material information, determining a grinding effect from the grinding effect characteristics based on the steel material information, calculating the grinding degree according to the determined grinding effect and the surface defect characteristics of the steel surface, and determining the grinding degree of a defect unit; the characteristic marking module is used for determining a defect grinding frequency requirement according to the defect unit grinding degree and the surface defect characteristics, and generating a mark according to the defect grinding frequency requirement to mark the surface defect characteristics; and the track control module is used for carrying out grinding track analysis based on the defect grinding frequency marking of the surface defect characteristics and the defect characteristic coordinate information to obtain grinding track control information, and sending the grinding track control information to a numerical control machine tool to carry out grinding control according to the grinding track control information.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the embodiment of the application provides a steel ultra-precision grinding surface material removes method, gathers steel surface image information, confirms steel surface characteristic information through carrying out the feature extraction, including surface defect characteristic, defect characteristic coordinate information, obtain lathe grinding parameter information, wherein, lathe grinding parameter information includes grinding wheel mesh number, feed depth information, grinding rotational speed information, according to grinding wheel mesh number, feed depth information, grinding rotational speed information obtain grinding effect characteristic, obtain steel material information and confirm grinding effect, according to the grinding effect of confirming and steel surface the surface defect characteristic carries out grinding degree calculation, confirms defect unit grinding degree, further confirms defect grinding frequency requirement and marks, based on the defect grinding frequency mark of surface defect characteristic the defect characteristic coordinate information carries out grinding orbit analysis, obtains grinding orbit control information, sends the digit control machine tool and carries out grinding control, has solved and has carried out the surface material grinding of steel in the prior art when because the lathe intelligence is not enough for grinding path analysis is not enough, leads to the lower technical problem of grinding efficiency, and this application has realized intelligent lathe control, through the data processing and the grinding process of the intelligent lathe, improves the grinding efficiency integration control planning.
Drawings
FIG. 1 is a schematic flow chart of a method for removing surface materials in ultra-precision grinding of steel according to the present application;
FIG. 2 is a schematic diagram illustrating a process for obtaining grinding parameter information of a machine tool in a method for removing a surface material by ultra-precision grinding of steel according to the present application;
FIG. 3 is a schematic diagram illustrating a flow of obtaining grinding trajectory control information in a method for removing a surface material by ultra-precision grinding of steel according to the present application;
fig. 4 is a schematic structural diagram of a system for removing surface materials in ultra-precision grinding of steel according to the present application.
Description of reference numerals: the system comprises an image acquisition module 11, a feature extraction module 12, an information acquisition module 13, a feature acquisition module 14, a grinding degree calculation module 15, a feature marking module 16 and a track control module 17.
Detailed Description
The application provides a method and a system for removing a steel ultra-precision grinding surface material, steel surface image information is collected, steel surface characteristic information is determined by carrying out characteristic extraction, machine tool grinding parameter information is obtained, grinding effect characteristics are determined, steel material information is obtained, grinding effect is determined, grinding degree calculation is carried out according to the grinding effect and the surface defect characteristics, the grinding degree per defect is determined, the grinding frequency requirement of the defect is further determined and marked, grinding track analysis is carried out, grinding track control information is obtained and sent to a numerical control machine for grinding control, and the technical problem that grinding path planning analysis is not rigorous enough and grinding efficiency is low due to the fact that the machine tool is not intelligent enough when the surface material of the steel is ground in the prior art is solved.
Example one
As shown in fig. 1, the present application provides a method for removing surface material in ultra-precision grinding of steel, which is applied to a numerically controlled machine tool having an image acquisition and processing apparatus, the method comprising:
step S100: carrying out full-surface acquisition on steel to be ground through image acquisition and processing equipment to obtain steel surface image information;
specifically, it mainly accomplishes through ultra-precision machining to carry out ultra-precision grinding surface material to steel, carries out the ultramicro excision processing based on ultra-precision numerical control machine tool to obtain high accuracy and low surface roughness's steel, the steel ultra-precision grinding surface material removal method that this application provided is applied to the numerical control machine tool, the numerical control machine tool is as main processing equipment, requires to possess high rigidity, high motion resolution, high motion precision and high stability to ensure the surface grinding precision of steel, the numerical control machine tool has an image acquisition processing equipment, can be based on the image acquisition processing equipment is right the steel of waiting to grind carries out full surface image acquisition, through carrying out preliminary image acquisition analysis in order to confirm specific image acquisition requirement, further carry out the pertinence image acquisition to the steel of waiting to grind based on the image acquisition requirement, including whole image acquisition and partial detail image acquisition, avoid gathering partial invalid image, can guarantee the information completeness of image acquisition result simultaneously, acquire steel surface image information, the acquisition of steel surface image information provides basic information basis for the subsequent grinding analysis that carries out the numerical control machine tool.
Further, treat that the grinding steel carries out full surface collection through image acquisition processing apparatus, obtains steel surface image information, this application step S100 still includes:
step S110: carrying out primary collection on a steel material to be ground by the image collection processing equipment at a preset angle, wherein the preset angle at least comprises a top view and a side view;
step S120: identifying steel frames according to the primarily acquired images, and determining steel shape frame information;
step S130: obtaining the shape characteristics of the steel according to the shape frame information of the steel;
step S140: and determining a full-surface acquisition control requirement according to the shape characteristics of the steel, controlling the image acquisition processing equipment according to the full-surface acquisition control requirement, and performing surface acquisition on the steel to be ground.
Specifically, image acquisition processing equipment is located in the digit control machine tool, it is right based on predetermineeing the angle treat grinding steel and carry out preliminary full surface image acquisition, it indicates the equipment that carries out image acquisition to predetermine the angle and sets up the angle, predetermine the angle and include overlook, side looking at least, through carrying out multi-angle image acquisition to guarantee the information completeness of image acquisition result, acquire just gather the image, it is further right just gather the image and carry out steel frame discernment, based on steel image characteristics, for example steel turning, trend etc. confirm information such as the frame shape of steel, frame size, acquire steel shape frame information, and then it is right steel shape characteristics extract to just gather frame information, for example angle size, the toper turning still arc turning, frame trend etc. that polygon steel shape characteristics corresponds, the collection requirement that different shape characteristics correspond has the difference, for example to just toper turning, need confirm the angle size of each conical surface, need respectively gather to gather the information accuracy that the guarantee was gathered, and further, it is based on steel shape characteristics confirms image acquisition processing equipment's collection control requirement, it is partial to gather the effective detail to pass through this collection of the steel surface acquisition equipment and to gather the grinding the image acquisition control result, can improve the accuracy of the grinding equipment on the basis.
Step S200: extracting the characteristics of the steel surface image information to determine the steel surface characteristic information, wherein the steel surface characteristic information comprises surface defect characteristics and defect characteristic coordinate information;
specifically, the method includes acquiring a full-surface image of the steel to be ground to obtain surface image information of the steel, determining surface defect characteristics of the steel to be ground, such as surface cracks, heavy skin, scratches and the like of the steel by taking the surface image information of the steel as a reference and performing image characteristic identification, further determining positions of the surface defect characteristics, exemplarily, determining an origin position based on the steel to be ground to construct a three-dimensional coordinate system by taking the origin position as the reference, determining coordinate information of each surface defect characteristic in the coordinate system to determine a defect position size parameter, further performing information mapping correspondence on the surface defect characteristics and the defect characteristic coordinate information, performing corresponding identification on mapping results to obtain surface characteristic information of the steel, and storing the surface characteristic information of the steel as a grinding requirement of the steel to be ground.
Step S300: obtaining machine tool grinding parameter information, wherein the machine tool grinding parameter information comprises grinding wheel mesh number, feeding depth information and grinding rotating speed information;
specifically, the steel to be ground is ground and optimized through the numerical control machine tool according to the surface characteristic information of the steel, the numerical control machine tool comprises a grinding wheel, the grinding wheel serves as a main grinding part, a grinding wheel with higher hardness is selected when a material with higher hardness is ground, the grinding material of the grinding wheel after being processed is easy to fall off, the sharpness of the grinding wheel is kept, a harder grinding wheel can be selected when the material with softer hardness is ground so as to ensure the later-stage processing precision, a corundum grinding wheel which can be selected for the steel is ground, and the mesh number of the grinding wheel is further determined, wherein the number of the grinding wheel refers to the number of holes in the grinding wheel, the larger the number of the holes is, the smaller the number of the holes is required when fine grinding is carried out, the grinding wheel with lower surface roughness can be selected, the feeding depth of the grinding wheel is further determined based on the specific size parameter of the defect characteristic, generally, the feeding depth of a single tool is generally 0.01-1 um, multiple times of grinding can be carried out so as to ensure complete defect elimination, further, the grinding rotational speed information is determined, the grinding rotational speed information is generally determined, the grinding rotational speed is generally determined according to the numerical control machine tool, the higher the precision is higher, and the rotational speed can reach the internal grinding machine with higher precision, for example, the higher precision can reach the rotational speed per minute-50000 per minute. And adjusting the grinding rotating speed according to the diameter size change of the grinding wheel, and integrating the mesh number of the grinding wheel, the feed depth information and the grinding rotating speed information to obtain the grinding parameter information of the machine tool.
Further, as shown in fig. 2, in the step S300 of obtaining the grinding parameter information of the machine tool, the method further includes:
step S310: obtaining grinding setting parameters of a local machine tool and local grinding wheel information;
step S320: obtaining the information of steel products in batches to be processed and the processing requirement information;
step S330: matching the information of the batch of steel products to be processed, the processing requirement information and the local grinding wheel information to determine matched grinding wheel information;
step S340: and performing local machine tool grinding setting parameter matching analysis based on the processing requirement information and the matched grinding wheel information, determining matched machine tool grinding setting parameters, and obtaining the machine tool grinding parameter information.
Further, step S340 of the present application further includes:
step S341: and when replacing batches, analyzing the grinding parameter information of the machine tool on the replaced batches of steel, determining the grinding parameter information of the machine tool to be replaced, and adjusting the parameters of the machine tool.
Specifically, the numerical control machine tool is used as main grinding equipment of steel products, grinding setting parameters of a local machine tool are determined, the setting range of parameter data including axial and radial feeding depths, grinding rotating speeds and the like is included, local grinding wheel information including multiple types of materials, sizes and the like of grinding wheels is further determined, the batch of steel products to be processed including the quantity of the steel products, the surface defect information of the steel products and the like is further collected, the processing requirement information including the defect grinding precision, the surface processing roughness and the like of the steel products is determined based on the local grinding wheel information, the batch of steel products to be processed and the processing requirement information are further subjected to adaptability analysis and correction, the grinding wheel material and the size parameter information matched with the batch of steel products to be processed and the processing requirement information are determined to serve as the matched grinding wheel information, the processing requirement information and the matched grinding wheel information are subjected to matching analysis according to the local machine tool grinding setting parameter information, the local machine tool parameter setting information with the local machine tool parameter setting information is determined, and is stored as the grinding parameter information of the batch of the steel products to be processed.
Further, for the steel to be ground, the steel is processed in batches based on the difference of the material, hardness, wear resistance, components and the like of the steel, grinding wheels with the same mesh number, rotating speed and feeding depth are adopted for grinding the same batch of steel, when the batch is adjusted, the steel information and processing requirement information of the batch of steel to be processed are determined when the batch of steel to be processed is changed by adjusting the steel of different batches, the grinding wheel information matching and local machine tool grinding setting parameter matching analysis step is repeatedly carried out to determine the machine tool grinding parameter information matched with the batch of steel to be changed, in short, when the batch of steel to be changed is changed, matching determination of related parameters is carried out again to ensure the suitability of the finally determined machine tool grinding parameter information and the corresponding batch of steel to be processed, and the grinding precision of the numerical control machine tool on the steel is improved.
Step S400: obtaining grinding effect characteristics according to the mesh number of the grinding wheel, the feeding depth information and the grinding rotating speed information, wherein the grinding effect characteristics comprise the corresponding relation between the grinding effect characteristics and the steel material;
step S500: obtaining steel material information, determining a grinding effect from the grinding effect characteristics based on the steel material information, calculating the grinding degree according to the determined grinding effect and the surface defect characteristics of the steel surface, and determining the unit grinding degree of the defect;
specifically, when the same batch of steel is ground, the basic information of the steel to be ground is taken as a reference, the basic information includes the material of the steel, the defect characteristics and the like, the grinding effect characteristics of the ground steel are determined according to the determined mesh number of the grinding wheel of the numerical control machine tool, the feeding depth information and the grinding rotation speed information, for example, a steel grinding simulation model can be established based on the related parameter information of the numerical control machine tool and the steel to be ground, the simulated grinding of the steel is performed based on the related parameter information, so as to determine the grinding effect characteristics, such as surface smoothness, correction degree of the defect characteristics and the like, the grinding simulation operation of different batches of steel can be performed by adjusting the operation parameter information, the corresponding grinding effect characteristics are determined, the grinding effect characteristics and the corresponding identification of the material of the steel are further performed, so as to be distinguished, and the grinding effect characteristics include the grinding effect characteristics of a plurality of materials of steel.
Further, carry out material information acquisition to the steel that carries out the grinding at present, it is right steel material information with grinding effect characteristic matches correspondingly, confirm with steel material information looks adaptation grinding effect characteristic, further confirm correspondingly grinding effect uses the steel surface defect characteristic is the benchmark, based on grinding effect calculates the corresponding grinding degree of different surface defect characteristics, the grinding degree indicates the required size range, the degree of depth etc. of grinding of this surface defect characteristic, it calculates the grinding degree of a plurality of defects that surface defect characteristic corresponds, further carries out the sequence arrangement from small to big to the grinding degree, can regard minimum grinding degree as single grinding degree, confirms it as defect unit grinding degree, when carrying out follow-up steel grinding, can carry out grinding many times to the great part of defect to guarantee the quality of steel after the grinding.
Step S600: determining a defect grinding frequency requirement according to the defect unit grinding degree and the surface defect characteristics, and generating a mark according to the defect grinding frequency requirement to mark the surface defect characteristics;
specifically, the grinding frequency required by the surface defect features of different degrees under the grinding degree of the defect unit is determined by taking the grinding degree of the defect unit and the surface defect features as a reference, and is used as a grinding frequency requirement of each defect feature, wherein the grinding frequency requirement is determined by respectively determining the grinding frequency of each surface defect feature when the defect degree is larger, a plurality of defect frequency requirements are obtained, for example, the grinding frequency requirements of surface scratches and surface cracks are different, the grinding frequency requirements corresponding to a plurality of features in the surface defect features are integrated to generate the defect grinding frequency requirement, the surface defect features are further marked based on the defect grinding frequency requirement, for example, when the grinding frequency requirement of the defect features is 5, the defect features are marked by taking 5 as a marking number, and further, each defect in the surface defect features is respectively marked, so that subsequent identification and grinding can be directly performed.
Step S700: and carrying out grinding track analysis based on the defect grinding frequency marking of the surface defect characteristics and the defect characteristic coordinate information to obtain grinding track control information, and sending the grinding track control information to a numerical control machine tool to carry out grinding control according to the grinding track control information.
Particularly, with the defect grinding frequency mark of surface defect characteristic is the benchmark, carries out the mapping matching of defect characteristic coordinate information, wherein, a surface defect characteristic probably has a plurality of coordinate information to carry out the accurate of defect characteristic and weigh, the grinding track point of steel is confirmed based on coordinate information, corresponds each surface defect characteristic grinding track point carries out the preface and connects, acquires a plurality of grinding orbits, a plurality of grinding orbits with surface defect characteristic one-to-one can effectively improve the precision of grinding orbit, with the grinding orbit is the benchmark, confirms grinding orbit control information, and grinding direction, grinding angle adjustment, depth of feed, grinding frequency etc. will grinding orbit control information send to the digit control machine tool, the digit control machine tool is based on grinding orbit control information carries out the grinding control of surface defect characteristic to improve the final grinding quality of steel.
Further, as shown in fig. 3, based on the defect grinding frequency labeling of the surface defect feature and the defect feature coordinate information, grinding track analysis is performed to obtain grinding track control information, in step S700 of the present application, further comprising:
step S710: determining coordinate track points with the same frequency according to the defect grinding frequency marking and the defect characteristic coordinate information;
step S720: performing track connection based on the same frequency coordinate track points to determine grinding track information;
step S730: and generating the grinding track control information according to the grinding track information.
Specifically, it is right the surface defect characteristic is based on defect grinding frequency mark divides, confirms same frequency defect characteristic, the foundation defect characteristic coordinate information carries out the coordinate mapping to same frequency defect characteristic, confirms the coordinate information that each defect characteristic corresponds, wherein, each defect characteristic probably corresponds a plurality of coordinate information, weigh to carrying out the yardstick of this defect characteristic, acquire same frequency coordinate track point, further carry out the sequence connection to the coordinate information that each same frequency defect characteristic corresponds respectively, confirm corresponding grinding orbit, grinding orbit is the whole grinding orbit that same frequency defect characteristic corresponds, further with grinding orbit information is the benchmark, confirms the control parameter of digit control machine tool, including emery wheel grinding direction, grinding adjustment angle, grinding number of times etc. generate grinding orbit control information, based on grinding orbit control information control the digit control machine tool grinds the surface defect characteristic, based on corresponding grinding orbit is confirmed to coordinate track point, in order to guarantee grinding orbit and surface defect characteristic's matching nature, reduce the grinding orbit deviation and reduce the grinding consumption.
Further, based on the same frequency coordinate track point, carry out the track connection, confirm grinding orbit information, this application step S720 still includes:
step S721: determining first track distribution information based on the same frequency coordinate track points;
step S722: judging whether the first track distribution information has interval frequency coordinates or not;
step S723: when an interval frequency coordinate exists, performing track point distribution analysis of the same frequency coordinate of the frequency based on the interval frequency coordinate, and determining second track distribution information of the interval frequency coordinate;
step S724: judging whether the second track distribution information has interval frequency coordinates or not;
step S725: if so, continuously performing the distribution analysis of the same frequency coordinate track points corresponding to the interval frequency coordinates;
step S726: if the second track distribution information does not exist, determining a grinding path of the second track distribution information by taking the interval frequency coordinates of the first track distribution information as a starting point and an end point, and taking the grinding path as path information of the second track distribution;
step S727: dividing the first track distribution information into a first distribution first division space and a first distribution second division space according to the interval frequency coordinates of the first track distribution information;
step S728: respectively determining paths of the first distribution first partition space and the first distribution second partition space to obtain a first path of first track distribution and a second path of first track distribution;
step S729: and inserting the path information of the second track distribution between the first track distribution first path and the first track distribution second path to form the grinding track information.
Specifically, grinding frequency division is performed on defect features, coordinate track points of the same frequency are determined, coordinate track points corresponding to each defect feature in the track points of the same frequency are identified, so that the defect track points are distinguished, first track distribution information is obtained, the first track distribution information includes a plurality of tracks of the defect features of the same frequency, whether track coordinates of other frequencies exist in the middle of the trend of each track in the first track distribution information is further judged, the track coordinates are used as interval frequency coordinates, when the interval frequency coordinates exist in the first track distribution information, the track is cut off, the interval track coordinates are used as a reference, the coordinate tracks of the same frequency corresponding to the interval track coordinates are determined, for example, coordinate points corresponding to a plurality of defect features with the grinding frequency of 3 are sequentially connected to serve as one track information, the track coordinates with the grinding frequency of 2 exist in the middle of the track, and the track coordinates are used as a reference, the coordinate points corresponding to the defect features with the grinding frequency of 2 are determined to serve as second track information.
Further, whether interval frequency information exists in the second track distribution information or not is judged, when the interval frequency information exists, the track cutting analysis step is continued, new track distribution information is determined, when the interval frequency coordinate of the first track distribution information is used as a starting point and an end point, sequential connection is carried out on the second track distribution information to form a track loop, the track loop is used as path information of the second track distribution, meanwhile, the interval frequency information of the first track distribution information divides the first track distribution information into two parts which respectively contain a certain amount of coordinate track points, the coordinate track points are determined to be sequential connection of the sequential points in the first distribution first division space and the first distribution second division space, the track coordinate points in the first distribution first division space are used as the first track distribution first path, the sequential points in the first distribution second division space are used as the first track distribution second path, the second track distribution path information is inserted between the first track distribution paths to form the track distribution first track, the track information is used as the grinding machine tool, the grinding parameters can be effectively avoided when grinding parameters are effectively changed along the grinding track.
Further, determining whether the second trajectory distribution information has an interval frequency coordinate, and then step S724 of the present application further includes:
step S7241: when the second track distribution information has an interval frequency coordinate, obtaining the same frequency coordinate track point of the interval frequency coordinate of the second track distribution information, and determining third track distribution information;
step S7242: judging whether the third track distribution information has interval frequency coordinates or not;
step S7243: and when the interval frequency coordinates exist, continuously performing distribution analysis on the same frequency track points on the interval frequency coordinates of the third track distribution information until the interval frequency coordinates do not exist.
Specifically, whether second orbit distribution information exists interval frequency coordinates is judged, when second orbit distribution information exists interval frequency coordinates, the same-frequency coordinate track points corresponding to the interval frequency coordinates are determined, as third orbit distribution information, the interval frequency coordinates are used as a starting point and an end point to be sequentially connected to the same-frequency coordinate track points to form a track loop, whether interval frequency coordinates exist in the third orbit distribution information is judged simultaneously, when the interval frequency coordinates exist, the same-frequency coordinate track points of the interval frequency coordinates are determined, the third orbit distribution information is spatially divided to construct an orbit grinding path, the interval frequency coordinates are repeatedly analyzed until the interval frequency coordinates do not exist, the grinding orbit of defect characteristics forms a plurality of sequential grinding orbit standards by means of multiple division, and orbit grinding is performed on the basis of the numerical control machine tool.
Example two
Based on the same inventive concept as the method for removing the surface material of the steel ultra-precision grinding in the previous embodiment, as shown in fig. 4, the present application provides a system for removing the surface material of the steel ultra-precision grinding, the system comprising:
the image acquisition module 11 is used for acquiring the whole surface of the steel to be ground through image acquisition and processing equipment to obtain the surface image information of the steel;
the feature extraction module 12 is configured to perform feature extraction on the steel surface image information, and determine steel surface feature information, where the steel surface feature information includes surface defect features and defect feature coordinate information;
the information acquisition module 13 is used for acquiring machine tool grinding parameter information, wherein the machine tool grinding parameter information comprises the mesh number of a grinding wheel, feed depth information and grinding rotating speed information;
the characteristic obtaining module 14 is configured to obtain a grinding effect characteristic according to the mesh number of the grinding wheel, the feed depth information and the grinding rotation speed information, where the grinding effect characteristic includes a corresponding relationship between the grinding effect characteristic and a steel material;
the grinding degree calculation module 15 is configured to obtain steel material information, determine a grinding effect from the grinding effect characteristics based on the steel material information, calculate a grinding degree according to the determined grinding effect and the surface defect characteristics of the steel surface, and determine a defect unit grinding degree;
the characteristic marking module 16 is used for determining a defect grinding frequency requirement according to the defect unit grinding degree and the surface defect characteristics, and marking the surface defect characteristics by generating a mark according to the defect grinding frequency requirement;
and the track control module 17 is used for analyzing the grinding track based on the defect grinding frequency marking of the surface defect characteristics and the defect characteristic coordinate information, obtaining grinding track control information, and sending the grinding track control information to the numerical control machine tool to carry out grinding control according to the grinding track control information.
Further, the system further comprises:
the angle acquisition module is used for carrying out primary acquisition on a steel material to be ground through the image acquisition and processing equipment at a preset angle, wherein the preset angle at least comprises a top view and a side view;
the frame information determining module is used for identifying a steel frame according to the initially acquired image and determining the shape frame information of the steel;
the shape characteristic acquisition module is used for acquiring the shape characteristics of the steel according to the shape frame information of the steel;
and the equipment control module is used for determining the full-surface acquisition control requirement according to the shape characteristics of the steel, controlling the image acquisition processing equipment according to the full-surface acquisition control requirement and carrying out surface acquisition on the steel to be ground.
Further, the system further comprises:
obtaining grinding setting parameters of a local machine tool and local grinding wheel information;
the parameter information acquisition module is used for acquiring the steel information of the batch to be processed and the processing requirement information;
the information matching module is used for matching the information of the batch of steel materials to be processed, the processing requirement information and the local grinding wheel information to determine matched grinding wheel information;
and the parameter analysis module is used for carrying out local machine tool grinding setting parameter matching analysis based on the processing requirement information and the matched grinding wheel information, determining matched machine tool grinding setting parameters and obtaining the machine tool grinding parameter information.
Further, the system further comprises:
and the grinding parameter determining module is used for analyzing the grinding parameter information of the machine tool on the steel in the replacement batch when the steel in the replacement batch is replaced, determining the grinding parameter information of the replacement machine tool and adjusting the parameters of the machine tool.
Further, the system further comprises:
the track point determining module is used for determining the same frequency coordinate track point according to the defect grinding frequency marking and the defect characteristic coordinate information;
the track information determining module is used for performing track connection based on the same frequency coordinate track points to determine grinding track information;
and the control information generation module is used for generating the grinding track control information according to the grinding track information.
Further, the system further comprises:
the first track distribution information determining module is used for determining first track distribution information based on the same frequency coordinate track points;
the first track distribution information judging module is used for judging whether interval frequency coordinates exist in the first track distribution information;
the second track distribution information determining module is used for analyzing the distribution of track points of the same frequency coordinate of the interval frequency based on the interval frequency coordinate when the interval frequency coordinate exists, and determining second track distribution information of the interval frequency coordinate;
the second track distribution information judging module is used for judging whether interval frequency coordinates exist in the second track distribution information;
the track point analysis module is used for continuously carrying out the distribution analysis of the same frequency coordinate track points corresponding to the interval frequency coordinates when the same frequency coordinate track points exist;
the grinding path determining module is used for determining a grinding path of the second track distribution information as path information of the second track distribution by taking the interval frequency coordinates of the first track distribution information as a starting point and an end point if the second track distribution information does not exist;
the information segmentation module is used for segmenting the first track distribution information into a first distribution first segmentation space and a first distribution second segmentation space according to the interval frequency coordinates of the first track distribution information;
a path determining module, configured to perform path determination on the first distribution first partition space and the first distribution second partition space respectively to obtain a first path with a first trajectory distribution and a second path with a first trajectory distribution;
and the track forming module is used for inserting the path information of the second track distribution between the first track distribution first path and the first track distribution second path to form the grinding track information.
Further, the system further comprises:
the third track distribution information judging module is used for obtaining the track points of the same frequency coordinate of the interval frequency coordinate of the second track distribution information and determining third track distribution information when the interval frequency coordinate exists in the second track distribution information;
a third track distribution information judgment module, configured to judge whether the third track distribution information has interval frequency coordinates;
and the coordinate analysis module is used for continuously carrying out distribution analysis on the same frequency track point on the interval frequency coordinates of the third track distribution information when the interval frequency coordinates exist until the interval frequency coordinates do not exist.
In the present specification, through the foregoing detailed description of the method for removing the surface material of the steel ultra-precision grinding, it is clear to those skilled in the art that the method and the system for removing the surface material of the steel ultra-precision grinding in the present embodiment are disclosed.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for removing surface materials in steel ultra-precision grinding is characterized in that the method is applied to a numerical control machine tool, the numerical control machine tool is provided with an image acquisition and processing device, and the method comprises the following steps:
carrying out full-surface acquisition on steel to be ground through image acquisition and processing equipment to obtain steel surface image information;
extracting the characteristics of the steel surface image information to determine the steel surface characteristic information, wherein the steel surface characteristic information comprises surface defect characteristics and defect characteristic coordinate information;
obtaining machine tool grinding parameter information, wherein the machine tool grinding parameter information comprises grinding wheel mesh number, feeding depth information and grinding rotating speed information;
obtaining grinding effect characteristics according to the mesh number of the grinding wheel, the feeding depth information and the grinding rotating speed information, wherein the grinding effect characteristics comprise the corresponding relation between the grinding effect characteristics and the steel material;
obtaining steel material information, determining a grinding effect from the grinding effect characteristics based on the steel material information, calculating the grinding degree according to the determined grinding effect and the surface defect characteristics of the steel surface, and determining the unit grinding degree of the defect;
determining a defect grinding frequency requirement according to the defect unit grinding degree and the surface defect characteristics, and marking the surface defect characteristics by generating marks according to the defect grinding frequency requirement;
and carrying out grinding track analysis based on the defect grinding frequency marking of the surface defect characteristics and the defect characteristic coordinate information to obtain grinding track control information, and sending the grinding track control information to a numerical control machine tool to carry out grinding control according to the grinding track control information.
2. The method of claim 1, wherein the acquiring the full surface of the steel material to be ground by the image acquisition processing device to obtain the steel material surface image information comprises:
primarily collecting steel to be ground at preset angles through the image collecting and processing equipment, wherein the preset angles at least comprise a top view and a side view;
identifying steel frames according to the primarily acquired images, and determining steel shape frame information;
obtaining the shape characteristics of the steel according to the shape frame information of the steel;
and determining a full-surface acquisition control requirement according to the shape characteristics of the steel, controlling the image acquisition processing equipment according to the full-surface acquisition control requirement, and performing surface acquisition on the steel to be ground.
3. The method of claim 1, wherein said obtaining machine tool grinding parameter information comprises:
obtaining grinding setting parameters of a local machine tool and local grinding wheel information;
obtaining the information of steel products in batches to be processed and the processing requirement information;
matching the information of the batch of steel products to be processed, the processing requirement information and the local grinding wheel information to determine matched grinding wheel information;
and performing local machine tool grinding setting parameter matching analysis based on the processing requirement information and the matched grinding wheel information, determining matched machine tool grinding setting parameters, and obtaining the machine tool grinding parameter information.
4. The method of claim 3, wherein the method further comprises:
when the batches are replaced, analyzing the grinding parameter information of the machine tool on the replaced batches of steel, determining the grinding parameter information of the machine tool, and adjusting the parameters of the machine tool.
5. The method of claim 1, wherein performing grinding trajectory analysis based on the defect grinding frequency labeling of the surface defect features and the defect feature coordinate information to obtain grinding trajectory control information comprises:
determining coordinate track points with the same frequency according to the defect grinding frequency marking and the defect characteristic coordinate information;
performing track connection based on the same frequency coordinate track points to determine grinding track information;
and generating the grinding track control information according to the grinding track information.
6. The method according to claim 5, wherein the determining grinding track information by performing track connection based on the same frequency coordinate track points comprises:
determining first track distribution information based on the same frequency coordinate track points;
judging whether the first track distribution information has interval frequency coordinates or not;
when an interval frequency coordinate exists, performing track point distribution analysis of the same frequency coordinate of the interval frequency on the basis of the interval frequency coordinate, and determining second track distribution information of the interval frequency coordinate;
judging whether the second track distribution information has interval frequency coordinates or not;
if so, continuing to perform the distribution analysis of the same frequency coordinate track points corresponding to the interval frequency coordinates;
if the second track distribution information does not exist, determining a grinding path of the second track distribution information by taking the interval frequency coordinates of the first track distribution information as a starting point and an end point as the path information of the second track distribution;
dividing the first track distribution information into a first distribution first division space and a first distribution second division space according to the interval frequency coordinates of the first track distribution information;
respectively determining paths of the first distribution first partition space and the first distribution second partition space to obtain a first path of first track distribution and a second path of first track distribution;
and inserting the path information of the second track distribution between the first track distribution first path and the first track distribution second path to form the grinding track information.
7. The method of claim 6, wherein determining whether the second trajectory profile information has interval frequency coordinates thereafter comprises:
when the second track distribution information has an interval frequency coordinate, obtaining the same frequency coordinate track point of the interval frequency coordinate of the second track distribution information, and determining third track distribution information;
judging whether the third track distribution information has interval frequency coordinates or not;
and when the interval frequency coordinates exist, continuously performing distribution analysis on the same frequency track points on the interval frequency coordinates of the third track distribution information until the interval frequency coordinates do not exist.
8. A steel ultra-precision grinding surface material removal system, the system comprising:
the image acquisition module is used for carrying out full-surface acquisition on steel to be ground through image acquisition and processing equipment to obtain steel surface image information;
the characteristic extraction module is used for extracting the characteristics of the steel surface image information and determining the steel surface characteristic information, and the steel surface characteristic information comprises surface defect characteristics and defect characteristic coordinate information;
the information acquisition module is used for acquiring machine tool grinding parameter information, wherein the machine tool grinding parameter information comprises the mesh number of a grinding wheel, feed depth information and grinding rotating speed information;
the characteristic acquisition module is used for acquiring grinding effect characteristics according to the mesh number of the grinding wheel, the feeding depth information and the grinding rotating speed information, wherein the grinding effect characteristics comprise the corresponding relation between the grinding effect characteristics and the steel material;
the grinding degree calculation module is used for obtaining steel material information, determining a grinding effect from the grinding effect characteristics based on the steel material information, calculating the grinding degree according to the determined grinding effect and the surface defect characteristics of the steel surface, and determining the grinding degree of a defect unit;
the characteristic marking module is used for determining the defect grinding frequency requirement according to the defect unit grinding degree and the surface defect characteristic, and generating a mark according to the defect grinding frequency requirement to mark the surface defect characteristic;
and the track control module is used for carrying out grinding track analysis based on the defect grinding frequency marking of the surface defect characteristics and the defect characteristic coordinate information to obtain grinding track control information, and sending the grinding track control information to a numerical control machine tool to carry out grinding control according to the grinding track control information.
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