CN108645337A - A kind of depth inside pipe wall Surface Location Error on-line measurement and compensation method - Google Patents

A kind of depth inside pipe wall Surface Location Error on-line measurement and compensation method Download PDF

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CN108645337A
CN108645337A CN201810389796.2A CN201810389796A CN108645337A CN 108645337 A CN108645337 A CN 108645337A CN 201810389796 A CN201810389796 A CN 201810389796A CN 108645337 A CN108645337 A CN 108645337A
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deep
boring
knife bar
boring cutter
displacement sensor
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CN108645337B (en
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王西彬
王东前
张路
刘志兵
焦黎
程继超
王康佳
黄涛
陈掣
颜培
籍永建
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Beijing Institute of Technology BIT
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/2408Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures for measuring roundness
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/26Measuring arrangements characterised by the use of optical techniques for measuring angles or tapers; for testing the alignment of axes
    • G01B11/27Measuring arrangements characterised by the use of optical techniques for measuring angles or tapers; for testing the alignment of axes for testing the alignment of axes

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Excavating Of Shafts Or Tunnels (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The present invention relates to field of machining, more particularly to a kind of deep inside pipe wall Surface Location Error on-line measurement and compensation method, non-contact on-line intelligence detecting system of the present invention includes centrally disposed frame and deep pipe, industrial personal computer, holder, panel, knife bar, triangular displacement sensor, boring cutter, sealing shroud, the first bar core, the first displacement sensor, speculum and the second bar core on chuck;The knife bar is arranged in deep pipe, the boring cutter is arranged in knife bar front end, the sealing shroud is mounted on knife bar top, in knife bar tail end, it is poor that final regulation and control parameter and initial manufacture parameter make by the present invention, and solves relative error for the panel setting, possible error range is provided for the selection of following process parameter, make operating personnel that need not strictly stick to site error prognostic chart, efficiency can be taken into account in error range during initial manufacture, greatly extends flexibility and the adaptability of method.

Description

A kind of depth inside pipe wall Surface Location Error on-line measurement and compensation method
Technical field
The present invention relates to field of machining, and in particular to it is a kind of depth the on-line measurement of inside pipe wall Surface Location Error with compensation Method.
Background technology
Deep pipe is widely used on oil, natural gas transportation and particular instrument device, many specific transmission occasions all Need very high inner surface quality and higher precision.Deep pipe belongs to revolving parts, and when actual processing mainly takes boring work Skill;Deep pipe has higher draw ratio, can not be directly observed actual processing state in process.Operating personnel master at present Suitable machined parameters are obtained according to previous processing experience and live trial cut, be set simultaneously because lacking suitable monitoring Standby, process state is unpredictable, and the whole hand for relying primarily on operating personnel touches deep pipe outer wall to perceive deep inside pipe wall Machining state.That there are uncertain factors is larger for hand contact, and heavy dependence operating personnel's experience, physical demands is big, does not have There is replicability.There is larger length, processing to need the regular hour that could complete more for deep pipe, can only it is to be processed after, it is right Deep inside pipe wall carries out offline inspection.Once occurring larger disturbing factor in process, as tool wear is serious or boring cutter Bar dynamic displacement is excessive, and irreversible influence can be all caused to processing quality, processing part is made directly to scrap.In addition, deep pipe Cavity space is smaller, cannot accommodate more detection device, and the splashing of cutting process partial cut bits and cutting fluid also makes chamber Interior environment is more complicated, and prodigious challenge is caused to processing and testing integrated, these serious production matter for constraining deep pipe Amount and production efficiency.
Invention content
Technical problem to be solved by the invention is to provide one kind based on structure light union processing detection one, adjusts in real time Whole, raising processing efficiency and the deep inside pipe wall Surface Location Error on-line measurement and compensation method that can effectively promote processing quality.
In order to solve the above technical problems, the present invention adopts the following technical scheme that:
1. establishing the boring Surface Location Error prediction model of deep inside pipe wall and selected initial manufacture parameter;
101 structure boring machine rectangular coordinate system X-Y-Z, establish the single-mode system for considering boring cutter-Workpiece vibration, and obtain boring Instantaneous non-thickness of cutting expression formula, determines boring force analytic modell analytical model:
Wherein hmFor boring thickness, KsFor boring force coefficient, θ is resultant force and Y-direction angle;
102 utilize empirical modal analysis, obtain boring cutter point of a knife dot frequency response curve, determine the frequency response function of point of a knife point FRF;103 are converted to step 102 Chinese style (one) form of frequency domain Fourier power model, and expression formula is:
Wherein
104 utilize empirical modal analysis method, obtain the direct admittance of boring cutter Y-direction and are introduced into Y-direction Surface Location Error meter Calculate formula:
By yFRFCalculated value of the absolute value as Surface Location Error, draw the surface position for considering axial cutting-in and the speed of mainshaft Error prediction figure is set, machined parameters are chosen;
2. measuring the real time data of deep inside pipe wall online;
The depth inside pipe wall real time data is obtained by the non-contact on-line intelligence detecting system based on structure light, described non-to connect It includes centrally disposed frame and the deep pipe on chuck, industrial personal computer, holder, panel, knife bar, triangle position to touch on-line intelligence detecting system Displacement sensor, boring cutter, sealing shroud, the electronic core of the first bar, the first displacement sensor, speculum and the second electric rod core;The knife Bar is arranged in deep pipe, and in knife bar front end, the sealing shroud is mounted on knife bar top for the boring cutter setting, and the panel setting exists Knife bar tail end, between industrial personal computer and deep pipe, the holder is equipped with angular position detector and outer laser for the holder setting Transmitter, the panel are equipped with interior laser emitter and second displacement sensor, first displacement sensor and speculum It is arranged on the same busbar of knife bar, the triangular displacement sensor is arranged on knife bar central axis;The angular position detection Device is connected to interior laser emitter light path, the outer laser emitter, second displacement sensor, speculum and the first displacement sensing Device light path is connected to, and the light path is structure light;
3. based on step, 2. middle data evaluate the instantaneous boring circularity and direction of feed straightness of deep inside pipe wall;
The space intervals modes such as 301 knife bars are rotated relative to deep pipe, and triangular displacement sensor uses obtain the profile of deep inside pipe wall Point cloud data, removal gross error acquisition significant figure strong point of being made comparisons with measured value by predicted value;
302 calculate the approximate curvature of each profile measurement points, using curvature absolute value be more than the Local Extremum of given threshold as The angle point of profile uses the area of the closed interval of contour segment and straight line composition and the characteristic quantity as measurement curvilinear motion, logarithm According to point cloud carry out contour segmentation, extract contour feature point set;
303 detach point cloud data according to contour segmentation method, obtain the point set of diameter cross section profile circle, and it is empty to constitute Circle Parameters Between, using the center of circle of Least Square Circle as the center of circle, contain practical measured circle, central coordinate of circle and half are calculated using least square method Diameter obtains the maximum radius difference between deep inside pipe wall point cloud data fitting circle;
The deep inside pipe wall of light path scanning that 304 outer laser emitters and the first displacement sensor are constituted, when practical axial busbar is opposite When micro- corner variation occurs for theoretical busbar, light path generates a variation on angular position detector, completes straightness On-line checking;The structure light that 305 outer laser emitters project axially is acquired along deep pipe, and be linked in sequence different radial sections successively The data point of same orientation angle on contour curve obtains the axial cross sectional profile line of deep inside pipe wall, traverses real coordinate space Interior characteristic point obtains the difference between fitting a straight line in plane, determines the variation of depth inside pipe wall busbar;
4. based on step, 3. evaluation result carries out real-time monitoring compensation to boring parameter;
By the fitting radius of circle maximum difference that step 303 obtains and the bus shifting amount that step 305 determines, it is sent to industrial personal computer In, industrial personal computer compensates variation signal transmission to the first electric rod core and the second electric rod core adjustment boring cutter position;
5. based on step 4. in evaluation result to step 1. in prediction result carry out error quantization;
The new axial cutting-in obtained after boring cutter is adjusted and step 1. in the axial cutting-in of selection make poor, obtain opposite miss Difference.
The boring cutter axis is vertical with deep pipe axis, and the triangular displacement sensor is arranged in parallel in boring cutter on knife bar.
The invention also includes lens, the lens are mounted on knife bar busbar, and are arranged in triangular displacement sensor and boring Between knife, the lens output end is connect by data line with industrial personal computer.
The invention also includes servo motor, the first electric rod core is equipped between the sealing shroud and boring cutter, it is described to have first Electric rod wire mandrel is vertical with sealing shroud, boring cutter axis, and the second electric rod is equipped between the boring cutter knife tail and knife bar side bus Core, the first electric rod core and the second electric rod core output end are connect with servo motor.
The positive effect of the present invention is as follows:The present invention combines deep pipe boring force model and empirical modal analysis method, establishes Deep inside pipe wall Surface Location Error model obtains the prognostic chart of Surface Location Error by strip method, chooses preparatory processing ginseng Number, this just effectively prevents the blindness of parameter selection, lays the foundation with compensation for later stage on-line measurement;The present invention is tied using point The non-contact on-line intelligence detecting system of structure light takes full advantage of structure light system and realizes simple and high measurement accuracy advantage, The space occupancy rate of deep inside pipe wall is reduced, and laser emitter constitutes measuring loop with displacement sensor, in real time passes signal Give industrial personal computer, the triangular displacement sensor being arranged on axis is rotated with knife bar, collaboration complete the circularity of deep inside pipe wall with it is straight The acquisition of dimension data reduces the influence processed to boring;The present invention evaluates circularity using principle of least square method, And straightness evaluation result is combined, and it is online to complete evaluation result feedback, by industrial personal computer real-time control machined parameters, reduce because of frequency Rate responds tool wear and vibration impacts deep inside pipe wall suface processing quality;The present invention is by final regulation and control parameter and just It is poor that beginning machined parameters make, and solves relative error, provides possible error range for the selection of following process parameter, makes behaviour Site error prognostic chart need not strictly be sticked to by making personnel, can take into account efficiency, pole in error range during initial manufacture The big flexibility for extending method and adaptability.
Description of the drawings
Fig. 1 is boring kinetic model schematic diagram of the present invention;
Fig. 2 is the non-contact on-line intelligence structure of the detecting device schematic diagram of the present invention;
Fig. 3 is triangular displacement sensor structure schematic diagram of the present invention;
Fig. 4 is roundness evaluation schematic diagram of the present invention;
Fig. 5 is that straightness of the present invention evaluates schematic diagram;
Fig. 6 is that Surface Location Error of the present invention predicts schematic diagram.
In figure:1 industrial personal computer, 2 holders, 3 angular position detectors, 4 outer laser emitters, 5 data lines, laser hair in 6 Emitter, 7 panels, 8 knife bars, 9 triangular displacement sensors, 10 centre frames, 11 boring cutters, 12 chucks, 13 sealing shrouds, 14 first electric rods Core, 15 lens, 16 first displacement sensors, 17 speculums, 18 second displacement sensors, 19 second electric rod cores, 20 deep pipes, 21 Servo motor, S1 are ideal finished surface, and S2 is actual processing surface.
Specific implementation mode
The present invention is described in detail with specific example below in conjunction with the accompanying drawings.
The present invention needs to carry out 20 inner wall surface error amount prediction of deep pipe-practical measurement-error evaluation-adjustment-mistake in real time It is quantizing, to determine initial manufacture parameter and complete adjustment in real time in process.Position is accumulated on the surface of 20 inner wall of deep pipe Error is mainly caused by the forced vibration of process, the overhanging of knife bar 8 and boring depth, shows as the ideal of 20 inner wall of deep pipe Difference between finished surface S1 and actual processing surface S2 causes 20 inner wall surface of deep pipe the phenomenon that cutting or owing to cut occurred, It is continuously cut with the deep and hole wall of processing, Surface Location Error will present cumulative effect.Forced oscillation in Boring Process The dynamic displacement of point of a knife point, is rerun a movie by the interaction of boring cutter-workpiece onto 20 inner wall of deep pipe caused by dynamic.Point of a knife point dynamic displacement Obtain mainly pass through the frequency response function and boring force of point of a knife point coupling obtain.By the frequency response at 11 point of a knife point of boring cutter Function carries out Fourier's series with boring force, and frequency response function is multiplied with cutting force in frequency domain, obtains the knife in frequency domain Cusp displacement obtains the point of a knife point displacement in time domain by inverse fourier transform, and then obtains surface position in Boring Process Set error amount, rendering error distribution curve.
1. establishing the boring Surface Location Error prediction model of deep inside pipe wall and selected initial manufacture parameter;
101 as shown in Figure 1, build boring machine rectangular coordinate system X-Y-Z, and foundation considers the single-mode system of boring cutter-Workpiece vibration, Go out boring thickness, determines boring force analytic modell analytical model:
Wherein hmFor boring thickness, KsFor boring force coefficient, θ is resultant force and Y-direction angle;Experimental calibration is used in the present embodiment Cutting Force Coefficient, nominal data is as shown in table 1, and K can be obtained by calculating datas≈4×103N/mm2
Table 1
102 utilize empirical modal analysis, obtain boring cutter point of a knife dot frequency response curve, determine the frequency response function of point of a knife point FRF;The frequency response curve for obtaining point of a knife point in the present embodiment using hammering experiment show that mode is joined according to frequency response curve Number value is as shown in table 2:
Table 2
103 are converted to step 101 Chinese style (one) form of frequency domain Fourier power model, and expression formula is:
Wherein
104 utilize empirical modal analysis method, obtain the direct admittance of boring cutter Y-direction and are introduced into Y-direction Surface Location Error meter Calculate formula:
By yFRFCalculated value of the absolute value as Surface Location Error, draw the surface position for considering axial cutting-in and the speed of mainshaft Error prediction figure is set, chooses machined parameters, as shown in Figure 6.
2. measuring the real time data of deep inside pipe wall online;
It is strong for 20 closure of deep pipe, it is difficult to directly observe finished surface the problem of, structure based on structure light it is non-contact Line intelligent checking system.As shown in Figure 2,3, the deep inside pipe wall real time data relies on the non-contact online intelligence based on structure light Energy detecting system obtains, and the non-contact on-line intelligence detecting system includes centrally disposed frame 10 and the deep pipe on chuck 12 20, industrial personal computer 1, holder 2, panel 7, knife bar 8, triangular displacement sensor 9, boring cutter 11, sealing shroud 13, the first electric rod core 14, First displacement sensor 16, speculum 17 and the second electric rod core 19;The knife bar 8 is arranged in deep pipe 20, the boring cutter 11 In 8 front end of knife bar, the sealing shroud 13 is mounted on 8 top of knife bar for setting, and the panel 7 is arranged in 8 tail end of knife bar, the holder Between industrial personal computer 1 and deep pipe 20, the holder 2 is equipped with angular position detector 3 and outer laser emitter 4, described for 2 settings Panel 7 is equipped with interior laser emitter 6 and second displacement sensor 18, and first displacement sensor 16 and speculum 17 are arranged On 8 same busbar of knife bar, the triangular displacement sensor 9 is arranged on 8 central axis of knife bar;The angular position detector 3 are connected to 6 light path of interior laser emitter, the outer laser emitter 4, second displacement sensor 18, speculum 17 and first 16 light path of displacement sensor is connected to, and the light path is structure light;
3. based on step, 2. middle data evaluate the instantaneous boring circularity and direction of feed straightness of deep inside pipe wall;
The space intervals modes such as 301 knife bars 8 are rotated relative to deep pipe 20, and triangular displacement sensor 9 uses obtain 20 inner wall of deep pipe Number of contours strong point cloud, high reject signal in measurement is mainly showed in the form of gross error, built in triangular displacement sensor 9 Module uses the gradual amount density data smoothing processing algorithm based on predicted value, and removal is made comparisons slightly with measured value by predicted value Big error obtains significant figure strong point, removal gross error acquisition significant figure strong point of being made comparisons with measured value by predicted value;
302 calculate the approximate curvature of each profile measurement point, and 9 house calculation module of triangular displacement sensor is big by curvature absolute value In angle point of the Local Extremum as profile of given threshold, use the closed interval that contour segment and straight line constitute area and as The characteristic quantity for weighing curvilinear motion carries out contour segmentation to the point cloud of data, extracts contour feature point set;The outline data of acquisition Middle there are some low frequency random signals, and close with measured surface variation, amplitude is smaller, makes to show as " burr " on contour curve, Using stochastic filtering denoising, the Quick Acquisition of 20 inner hole wall data point of deep pipe is completed.
303 detach point cloud data according to contour segmentation method, obtain the point set of diameter cross section profile circle, and it is empty to constitute Circle Parameters Between, any point coordinate value represents central coordinate of circle and radius in space, flat with the distance of each point on practical element to be measured to the circle Assessment method of the circle that is square and being minimum as evaluation benchmark contains practical measured circle using the center of circle of Least Square Circle as the center of circle, The property that error sum is minimized using least square method calculates central coordinate of circle and radius, and it is quasi- to obtain 20 inner wall point cloud data of deep pipe The maximum radius difference between circle is closed, as shown in Figure 4;
The deep inside pipe wall of light path scanning that 304 outer laser emitters 4 and the first displacement sensor 16 are constituted, when practical axial busbar phase When micro- corner variation occurs for theoretical busbar, light path generates a variation on angular position detector 3, is put according to transmitting The variation is converted to micro- corner and changed, completes the on-line checking of straightness by big principle;
The straightness evaluation of 305 20 inner walls of deep pipe belongs to the evaluation of the straightness in given plane, mainly passes through straightness error body Existing, for the structure light that outer laser emitter 4 projects along the 20 axial acquisition of deep pipe, the different radial cross-sectional profiles that are linked in sequence successively are bent The data point of same orientation angle on line obtains the axial cross sectional profile line of 20 inner wall of deep pipe, and outer laser emitter 4 is built-in to be calculated Module carries out straight line parameter feature extraction to shaft section, traverses the characteristic point in real coordinate space, passes through this feature by all The straight line of point transforms on parameter space a bit, obtains the difference between fitting a straight line in plane, determines depth 20 inner wall busbar of pipe Variation, as shown in Figure 5;
4. based on step, 3. evaluation result carries out real-time monitoring compensation to boring parameter;
By the fitting radius of circle maximum difference that step 303 obtains and the bus shifting amount that step 305 determines, it is sent to industrial personal computer In 1, industrial personal computer carries out variation signal transmission to the first electric rod core 14 and 11 position of the second electric rod core 19 adjustment boring cutter Compensation;5. based on step 4. in evaluation result to step 1. in prediction result carry out error quantization;
The new axial cutting-in obtained after boring cutter 11 is adjusted and step 1. in the axial cutting-in of selection make poor, obtain opposite miss Difference.
11 axis of the boring cutter is vertical with deep 20 axis of pipe, and the triangular displacement sensor 9 is arranged in parallel in boring cutter 11 On knife bar 8.The invention also includes lens 15, the lens 15 are mounted on 8 busbar of knife bar, and are arranged in triangular displacement sensor Between 9 and boring cutter 11,15 output end of the lens is connect by data line 5 with industrial personal computer 1.
The invention also includes servo motor 21, the first electric rod core 14, institute are equipped between the sealing shroud 13 and boring cutter 11 It is vertical with sealing shroud 13,11 axis of boring cutter to have stated 14 axis of the first electric rod core, 11 knife tail of the boring cutter and 8 side bus of knife bar it Between be equipped with the second electric rod core 19, the first electric rod core 14 and 19 output end of the second electric rod core connect with servo motor 21 It connects.
Embodiment described above is merely a preferred embodiment of the present invention, and the simultaneously exhaustion of the feasible implementation of non-present invention.It is right For persons skilled in the art, any aobvious to made by it under the premise of without departing substantially from the principle of the invention and spirit and The change being clear to should be all contemplated as falling within the claims of the present invention.

Claims (4)

1. a kind of depth inside pipe wall Surface Location Error on-line measurement and compensation method, it is characterised in that steps are as follows:
1. establishing the boring Surface Location Error prediction model of deep inside pipe wall and selected initial manufacture parameter;
101 structure boring machine rectangular coordinate system X-Y-Z, establish the single-mode system for considering boring cutter-Workpiece vibration, and obtain boring Instantaneous non-thickness of cutting expression formula, determines boring force analytic modell analytical model:
Wherein hmFor boring thickness, KsFor boring force coefficient, θ is resultant force and Y-direction angle;
102 utilize empirical modal analysis, obtain boring cutter point of a knife dot frequency response curve, determine the frequency response function of point of a knife point FRF;
103 are converted to step 102 Chinese style (one) form of frequency domain Fourier power model, and expression formula is:
Wherein
104 utilize empirical modal analysis method, obtain the direct admittance of boring cutter Y-direction and are introduced into Y-direction Surface Location Error meter Calculate formula:
By yFRFCalculated value of the absolute value as Surface Location Error, draw the surface position for considering axial cutting-in and the speed of mainshaft Error prediction figure is set, machined parameters are chosen;
2. measuring the real time data of deep inside pipe wall online;
The depth inside pipe wall real time data is obtained by the non-contact on-line intelligence detecting system based on structure light, described non-to connect It includes centrally disposed frame (10) and the deep pipe (20) on chuck (12), industrial personal computer (1), holder to touch on-line intelligence detecting system (2), panel (7), knife bar (8), triangular displacement sensor (9), boring cutter (11), sealing shroud (13), the first electric rod core (14), One displacement sensor (16), speculum (17) and the second electric rod core (19);Knife bar (8) setting is in deep pipe (20), institute Boring cutter (11) setting is stated in knife bar (8) front end, the sealing shroud (13) is mounted on knife bar (8) top, and panel (7) setting exists Knife bar (8) tail end, between industrial personal computer (1) and deep pipe (20), the holder (2) is equipped with corner position for holder (2) setting Detector (3) and outer laser emitter (4) are set, the panel (7) is equipped with interior laser emitter (6) and second displacement sensor (18), first displacement sensor (16) and speculum (17) are arranged on knife bar (8) same busbar, and the triangular displacement passes Sensor (9) is arranged on knife bar (8) central axis;The angular position detector (3) connects with interior laser emitter (6) light path It is logical, the outer laser emitter (4), second displacement sensor (18), speculum (17) and the first displacement sensor (16) light path Connection, the light path are structure light;
3. based on step, 2. middle data evaluate the instantaneous boring circularity and direction of feed straightness of deep inside pipe wall;
The space intervals modes such as 301 knife bars (8) are rotated relative to deep pipe (20), and triangular displacement sensor (9) uses obtain deep pipe (20) the number of contours strong point cloud of inner wall, removal gross error acquisition significant figure strong point of being made comparisons with measured value by predicted value;
302 calculate the approximate curvature of each profile measurement points, using curvature absolute value be more than the Local Extremum of given threshold as The angle point of profile uses the area of the closed interval of contour segment and straight line composition and the characteristic quantity as measurement curvilinear motion, logarithm According to point cloud carry out contour segmentation, extract contour feature point set;
303 detach point cloud data according to contour segmentation method, obtain the point set of diameter cross section profile circle, and it is empty to constitute Circle Parameters Between, using the center of circle of Least Square Circle as the center of circle, contain practical measured circle, central coordinate of circle and half are calculated using least square method Diameter obtains the maximum radius difference between deep pipe (20) inner wall point cloud data fitting circle;
The deep inside pipe wall of light path scanning that 304 outer laser emitters (4) are constituted with the first displacement sensor (16), when practical axial female When relative to theoretical busbar micro- corner variation occurs for line, light path generates a variation on angular position detector (3), completes The on-line checking of straightness;
The structure light that 305 outer laser emitters (4) are projected axially is acquired along deep pipe (20), and the different radial directions that are linked in sequence successively are cut The data point of same orientation angle on facial contour curve obtains the axial cross sectional profile line of deep pipe (20) inner wall, traverses practical sit The characteristic point in space is marked, the difference between fitting a straight line in plane is obtained, determines the variation of deep pipe (20) inner wall busbar;
4. based on step, 3. evaluation result carries out real-time monitoring compensation to boring parameter;
By the fitting radius of circle maximum difference that step 303 obtains and the bus shifting amount that step 305 determines, it is sent to industrial personal computer (1) in, industrial personal computer is by variation signal transmission to the first electric rod core (14) and the second electric rod core (19) adjustment boring cutter (11) Position compensates;
5. based on step 4. in evaluation result to step 1. in prediction result carry out error quantization;
The new axial cutting-in obtained after boring cutter (11) is adjusted and step 1. in the axial cutting-in of selection make poor, obtain relatively Error.
2. a kind of deep inside pipe wall Surface Location Error on-line measurement according to claim 1 and compensation method, feature exist In:Boring cutter (11) axis is vertical with deep pipe (20) axis, and the triangular displacement sensor (9) is arranged in parallel with boring cutter (11) On knife bar (8).
3. a kind of deep inside pipe wall Surface Location Error on-line measurement according to claim 1 and compensation method, feature exist In:Further include lens (15), the lens (15) be mounted on knife bar (8) busbar on, and be arranged triangular displacement sensor (9) with Between boring cutter (11), lens (15) output end is connect by data line (5) with industrial personal computer (1).
4. a kind of deep inside pipe wall Surface Location Error on-line measurement and compensation method, feature according to claim exist In:Further include servo motor (21), the first electric rod core (14) is equipped between the sealing shroud (13) and boring cutter (11), it is described to have First electric rod core (14) axis is vertical with sealing shroud (13), boring cutter (11) axis, boring cutter (11) the knife tail and knife bar (8) side It is equipped with the second electric rod core (19), the first electric rod core (14) and the second electric rod core (19) output end between busbar and watches Take motor (21) connection.
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* Cited by examiner, † Cited by third party
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CN110160462A (en) * 2019-05-08 2019-08-23 北京理工大学 A kind of detection method of large size deep-hole parts Boring Process circularity and straightness
CN113551556A (en) * 2021-07-22 2021-10-26 重庆市机电设计研究院 Working system for remotely detecting precision of gun barrel on line
CN116518835A (en) * 2023-07-03 2023-08-01 太原市水利勘测设计院 Water conservancy pipeline facilities deformation check out test set
CN116604399A (en) * 2023-07-20 2023-08-18 通用技术集团机床工程研究院有限公司 Contour measurement method, apparatus, device and storage medium
CN116871709A (en) * 2023-09-08 2023-10-13 常州市鹏瑞自动化设备有限公司 Method for cutting special-shaped round pipe fitting by laser
CN117804357A (en) * 2024-03-01 2024-04-02 中北大学 Deep hole detection device and detection method based on laser reflection

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1075203A (en) * 1992-07-21 1993-08-11 长春光学精密机械学院 Method and device for extracting information of degree of anchoring of inner surface of pipeline
CN101690979A (en) * 2009-11-03 2010-04-07 烟台台海玛努尔核电设备有限公司 Finish machining equipment for inner bore of bent pipe of main pipe line of primary loop in AP1000 nuclear power technology
CN101984379A (en) * 2010-10-25 2011-03-09 武汉华中数控股份有限公司 Vibration suppression method based on instruction sequence of numerical control turning process
CN102004021A (en) * 2010-10-27 2011-04-06 上海理工大学 Static stiffness testing method for horizontal machining centre
CN102166665A (en) * 2010-12-23 2011-08-31 大连理工大学 Five-axis NC (numerical control) milling method for internal surfaces of bent pipes
CN102179555A (en) * 2011-06-09 2011-09-14 大连理工大学 Device and method for milling internal surface of bent pipe
CN102205438A (en) * 2011-05-24 2011-10-05 大连理工大学 Equipment and method for milling inner surface of bent pipe
CN102608124A (en) * 2012-04-06 2012-07-25 天津大学 Micro-pipe internal flaw and appearance measurement device and method
CN102749041A (en) * 2012-07-13 2012-10-24 合肥工业大学 Propeller type surface contour error measurement instrument and method
CN103486983A (en) * 2013-08-01 2014-01-01 重庆建设工业(集团)有限责任公司 Measuring heads of straightness error detection device for special elongated tube inner bore spiral line
CN106996749A (en) * 2017-03-31 2017-08-01 西安理工大学 The narrow groove geometric parameter detection means of pipe inner circumferential annular and detection method

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1075203A (en) * 1992-07-21 1993-08-11 长春光学精密机械学院 Method and device for extracting information of degree of anchoring of inner surface of pipeline
CN101690979A (en) * 2009-11-03 2010-04-07 烟台台海玛努尔核电设备有限公司 Finish machining equipment for inner bore of bent pipe of main pipe line of primary loop in AP1000 nuclear power technology
CN101984379A (en) * 2010-10-25 2011-03-09 武汉华中数控股份有限公司 Vibration suppression method based on instruction sequence of numerical control turning process
CN102004021A (en) * 2010-10-27 2011-04-06 上海理工大学 Static stiffness testing method for horizontal machining centre
CN102166665A (en) * 2010-12-23 2011-08-31 大连理工大学 Five-axis NC (numerical control) milling method for internal surfaces of bent pipes
CN102205438A (en) * 2011-05-24 2011-10-05 大连理工大学 Equipment and method for milling inner surface of bent pipe
CN102179555A (en) * 2011-06-09 2011-09-14 大连理工大学 Device and method for milling internal surface of bent pipe
CN102608124A (en) * 2012-04-06 2012-07-25 天津大学 Micro-pipe internal flaw and appearance measurement device and method
CN102749041A (en) * 2012-07-13 2012-10-24 合肥工业大学 Propeller type surface contour error measurement instrument and method
CN103486983A (en) * 2013-08-01 2014-01-01 重庆建设工业(集团)有限责任公司 Measuring heads of straightness error detection device for special elongated tube inner bore spiral line
CN106996749A (en) * 2017-03-31 2017-08-01 西安理工大学 The narrow groove geometric parameter detection means of pipe inner circumferential annular and detection method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张元等: "参数自整定模糊控制技术在超长管内壁镗削中的应用", 《电机与控制学报》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108332688A (en) * 2018-01-31 2018-07-27 闽台龙玛直线科技股份有限公司 A kind of ball line slideway auxiliary raceway straightness On-line Measuring Method
CN108332688B (en) * 2018-01-31 2020-04-17 闽台龙玛直线科技股份有限公司 Online measuring method for straightness of auxiliary roller path of ball linear guide rail
CN110160462A (en) * 2019-05-08 2019-08-23 北京理工大学 A kind of detection method of large size deep-hole parts Boring Process circularity and straightness
CN113551556A (en) * 2021-07-22 2021-10-26 重庆市机电设计研究院 Working system for remotely detecting precision of gun barrel on line
CN116518835A (en) * 2023-07-03 2023-08-01 太原市水利勘测设计院 Water conservancy pipeline facilities deformation check out test set
CN116518835B (en) * 2023-07-03 2023-08-25 太原市水利勘测设计院 Water conservancy pipeline facilities deformation check out test set
CN116604399A (en) * 2023-07-20 2023-08-18 通用技术集团机床工程研究院有限公司 Contour measurement method, apparatus, device and storage medium
CN116604399B (en) * 2023-07-20 2023-10-31 通用技术集团机床工程研究院有限公司 Contour measurement method, apparatus, device and storage medium
CN116871709A (en) * 2023-09-08 2023-10-13 常州市鹏瑞自动化设备有限公司 Method for cutting special-shaped round pipe fitting by laser
CN116871709B (en) * 2023-09-08 2023-12-08 常州市鹏瑞自动化设备有限公司 Method for cutting special-shaped round pipe fitting by laser
CN117804357A (en) * 2024-03-01 2024-04-02 中北大学 Deep hole detection device and detection method based on laser reflection
CN117804357B (en) * 2024-03-01 2024-05-14 中北大学 Deep hole detection device and detection method based on laser reflection

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