CN113295688A - Detection system and detection method for fatigue strength of welding part - Google Patents
Detection system and detection method for fatigue strength of welding part Download PDFInfo
- Publication number
- CN113295688A CN113295688A CN202110413743.1A CN202110413743A CN113295688A CN 113295688 A CN113295688 A CN 113295688A CN 202110413743 A CN202110413743 A CN 202110413743A CN 113295688 A CN113295688 A CN 113295688A
- Authority
- CN
- China
- Prior art keywords
- welding part
- model
- stress
- module
- fatigue strength
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
The invention belongs to the technical field of fatigue detection, and discloses a detection system and a detection method for fatigue strength of a welding part, wherein the detection system for the fatigue strength of the welding part comprises: the device comprises an image acquisition module, an information acquisition module, an image processing module, a central control module, a model construction module, a stress detection module, a stress analysis module, a load condition acquisition module, a load analysis module and a fatigue strength determination module. According to the method, a three-dimensional model is constructed to carry out fatigue analysis on the welding part, and the fatigue strength analysis result of the welding part is determined by combining stress and load analysis, so that the analysis accuracy is greatly improved; and taking the shearing structure stress into consideration on the basis of the normal structure stress in the thickness direction of the welding part, synthesizing the normal structure stress and the shearing structure stress to obtain an equivalent stress intensity factor and an average equivalent stress intensity factor, and finally obtaining an analysis result of the welding part based on the average equivalent stress intensity factor to predict the service life of the welding part.
Description
Technical Field
The invention belongs to the technical field of fatigue detection, and particularly relates to a detection system and a detection method for fatigue strength of a welding part.
Background
At present, with the wide application of welding technology in the manufacturing field, the safety and reliability of the welding part are more and more concerned by many workers related to technology and design. In some important connection parts of mechanical structures, fatigue detection is often required to be carried out at regular time to ensure normal operation of the device, however, the existing device welding part fatigue damage detection device generally carries out detection through a fatigue test, the detection is complex, the cost is high, damage can be caused to the welding part, and the detected fatigue strength is inaccurate. Therefore, a new system for detecting fatigue strength of a welding portion is needed.
Through the above analysis, the problems and defects of the prior art are as follows: the existing device for detecting the fatigue damage of the welding part generally detects through a fatigue test, has complex detection and high cost, can damage the welding part, and has inaccurate detected fatigue strength.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a detection system and a detection method for fatigue strength of a welding part.
The present invention is achieved as described above, and a system for detecting fatigue strength of a welding portion, including:
the image acquisition module is connected with the central control module and is used for acquiring images of the welding part and the whole device by utilizing the camera equipment;
the information acquisition module is connected with the central control module and is used for acquiring parameters of the whole device and relevant information of a welding part;
the image processing module is connected with the central control module and is used for processing the acquired images of the welding parts;
the central control module is connected with the image acquisition module, the information acquisition module, the image processing module, the model construction module, the stress detection module, the stress analysis module, the load condition acquisition module, the load analysis module and the fatigue strength determination module and is used for coordinating and controlling the normal work of each module of the welding part fatigue strength detection system by utilizing a single chip microcomputer or a controller;
the model building module is connected with the central control module and used for building a three-dimensional model of the device based on the acquired parameters of the whole device and the acquired images, and comprises:
constructing a three-dimensional geometric model of a device according to device data obtained by scanning the device and a slice gray-scale image, wherein the three-dimensional geometric model comprises the slice gray-scale images of the device at different scanning positions;
gridding each slice gray level image in the three-dimensional geometric model, and generating an equivalent grid in each slice gray level image; gridding the three-dimensional space mapped by the three-dimensional geometric model according to the grid information of the grid generated in the slice gray-scale image to obtain a three-dimensional grid model of the device;
calculating the gray value of the space area corresponding to other grids in the three-dimensional grid model according to the gray value of the image area corresponding to each grid in the slice gray image; performing color reconstruction on spatial regions corresponding to all grids according to gray values corresponding to all the grids in the three-dimensional grid model to obtain a three-dimensional digital model of the device;
the stress detection module is connected with the central control module and used for detecting and calculating stress data on two sides of the welding part;
stress analysis module is connected with central control module for welding position stress analysis is carried out based on the stress data of gathering, includes:
calculating the node force and moment of each welding part bit unit node on the welding part; calculating linear force and moment of each welding part bit unit node on the welding part based on the node force and moment;
calculating normal structural stress and shear structural stress on the welding part along the thickness direction of the welding part based on the linear force and the moment;
calculating an equivalent stress intensity factor based on the normal structural stress and the shear structural stress using the following equation:
wherein, Δ KⅠDenotes the type I stress intensity factor, Δ K||Representing a type II stress intensity factor, beta representing a relation with the ductility of the materialThe type I and type II stress intensity factors are calculated by the following formulas, respectively:
wherein the content of the first and second substances,
a represents the geometric correction coefficient of the stress intensity factor corresponding to the film stress, a represents the crack length, trRepresents the critical crack length;
representing the geometric correction coefficient of the bending stress corresponding to the stress intensity factor;
representing the correction coefficient, σ, of the stress intensity factor to shear stressm＝fy′/t，σb＝6Mx′/t2，τsRepresenting shear structural stress at the weld site;
calculating an average equivalent stress intensity factor based on the equivalent stress intensity factors; taking the average equivalent stress intensity factor as an evaluation parameter of the stress analysis of the welding part, and performing linear regression analysis on stress data to obtain a stress analysis result;
the load condition acquisition module is connected with the central control module and is used for acquiring load related information based on the constructed three-dimensional model;
the load analysis module is connected with central control module for load intensity is analyzed based on the relevant information analysis load of the load of gathering, include:
carrying out finite element simulation based on the collected load information and the constructed three-dimensional model, and establishing an overall structure scale model by using ABAQUS;
establishing a fine welding part model of the integral structure scale model by using a sub-model method, and calculating an equivalent stress amplitude accurate value of the welding part;
simplifying the fine model of the welding part into a stress structure system of the welding part, carrying out optimization analysis on the value of the corresponding parameter based on the equivalent stress amplitude accurate value, and determining a simplified model for analyzing the load effect of the welding part;
analyzing the load strength of the welding part by using the simplified model for analyzing the load effect of the welding part, and further obtaining a load effect analysis result of the welding part;
and the fatigue strength determining module is connected with the central control module and is used for determining the fatigue strength of the welding part based on the stress analysis result and the load strength analysis result.
Further, in the information acquisition module, the relevant information of the welding part comprises the thickness of the weldment, the width of the welding part, the height of the welding part and the radius of the welding part.
Further, in the model building module, the calculating gray values of spatial regions corresponding to other grids in the three-dimensional grid model according to the gray value of the image region corresponding to each grid in the slice gray map includes:
respectively acquiring the gray value of an image area corresponding to each grid for each slice gray image in the three-dimensional grid model; and carrying out inverse distance weighted interpolation calculation in a controllable range on the gray value of the image area corresponding to each grid in the slice gray image to obtain the gray value of the space area corresponding to other grids in the three-dimensional grid model.
Further, in the model building module, the obtaining a three-dimensional digital model of the device by performing color reconstruction on spatial regions corresponding to all the grids according to gray values corresponding to all the grids in the three-dimensional grid model includes:
respectively acquiring a maximum gray value, a minimum gray value and a middle gray value according to the gray values corresponding to all the grids in the three-dimensional grid model; wherein the intermediate grayscale value is an average of the maximum grayscale value and the minimum grayscale value;
selecting a preset rule to calculate RGB color mark values of a space region corresponding to the grid according to the size relation between the gray value corresponding to the grid and the maximum gray value, the minimum gray value and the middle gray value respectively for any grid in the three-dimensional grid model;
and performing color reconstruction on the space region corresponding to the grid according to the RGB color scale values to obtain a three-dimensional digital model of the device.
Further, in the stress analysis module, the calculating the linear force and the moment of each welded unit node at the welded portion from the node force and the moment includes:
and calculating the node force and moment of each welding part bit unit node on the welding part under the global coordinate system (x, y, z), and converting the node force and moment into the node force and moment under the local coordinate system (x ', y ', z ') of each welding part bit unit node through coordinate transformation.
Further, in the stress analysis module, the calculating linear force and moment of each welding unit node on the welding part based on the node force and moment includes:
wherein, F1、F2、F3...Fn-1The node force of the welding seam unit node in the y' direction; f. of1、f2、f3...fn-1Linear force of the welding seam unit node in the y' direction; l1、l2、l3...ln-1Is the boundary length of the cell on the weld.
Further, in the load analysis module, the establishing a fine welding part model of the overall structure scale model by using a sub-model method, and calculating an equivalent stress amplitude accurate value of the welding part thereof includes:
cutting out a welding part from the overall structure scale model, and performing fine grid division to obtain a fine welding part model; carrying out coarse mesh division on the obtained integral structure scale model, applying load and calculating to obtain displacement response of the boundary part of the fine model of the welding part;
applying the obtained displacement response as a boundary condition to a cutting boundary of the fine model of the welding part by adopting a linear interpolation method; keeping the load loading unchanged, and calculating the fine model of the welding part to obtain the equivalent stress amplitude accurate value of the welding part.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying said welding site fatigue strength detection system when executed on an electronic device.
It is another object of the present invention to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the welding site fatigue strength detection system.
Another object of the present invention is to provide the information data processing terminal, wherein the information data processing terminal is configured to realize the system for detecting fatigue strength of the welded portion.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the detection system for the fatigue strength of the welding part, provided by the invention, the fatigue analysis is carried out on the welding part by constructing a three-dimensional model, the fatigue strength analysis result of the welding part is determined by combining the stress analysis and the load analysis, and the analysis accuracy is greatly improved. And predicting the service life of the welding part.
Meanwhile, the node force and the moment of the bit unit of the welding part are calculated by using a finite element method without solving a large-scale matrix equation, so that the calculation efficiency is greatly improved; in addition, the detection method simultaneously considers the normal structural stress and the shearing structural stress in the thickness direction of the welding part and obtains an average equivalent stress intensity factor through calculation, so that the detection method has the advantages of high calculation efficiency and high detection precision.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a system for detecting fatigue strength of a welding portion according to an embodiment of the present invention;
in the figure: 1. an image acquisition module; 2. an information acquisition module; 3. an image processing module; 4. a central control module; 5. a model building module; 6. a stress detection module; 7. a stress analysis module; 8. a load condition acquisition module; 9. a load analysis module; 10. and a fatigue strength determination module.
Fig. 2 is a flowchart of a method for detecting fatigue strength of a welding portion according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for constructing a three-dimensional model of a device based on acquired parameters of the overall device and images by a model construction module according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for performing stress analysis of a welding portion based on collected stress data by a stress analysis module according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for analyzing load strength based on collected load-related information by a load analysis module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides a system and a method for detecting fatigue strength of a welding portion, and the present invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a system for detecting fatigue strength of a welding portion according to an embodiment of the present invention includes:
the image acquisition module 1 is connected with the central control module 4 and is used for acquiring images of a welding part and the whole device by utilizing camera equipment;
the information acquisition module 2 is connected with the central control module 4 and is used for acquiring parameters of the whole device and relevant information of a welding part;
the image processing module 3 is connected with the central control module 4 and is used for processing the acquired images of the welding parts;
the central control module 4 is connected with the image acquisition module 1, the information acquisition module 2, the image processing module 3, the model construction module 5, the stress detection module 6, the stress analysis module 7, the load condition acquisition module 8, the load analysis module 9 and the fatigue strength determination module 10, and is used for coordinating and controlling the normal work of each module of the detection system for the fatigue strength of the welding part by utilizing a single chip microcomputer or a controller;
the model building module 5 is connected with the central control module 4 and used for building a three-dimensional model of the device based on the acquired parameters of the whole device and the image;
the stress detection module 6 is connected with the central control module 4 and used for detecting and calculating stress data on two sides of the welding part;
the stress analysis module 7 is connected with the central control module 4 and used for carrying out stress analysis on the welding part based on the collected stress data;
the load condition acquisition module 8 is connected with the central control module 4 and used for acquiring load related information based on the constructed three-dimensional model;
the load analysis module 9 is connected with the central control module 4 and used for analyzing the load strength based on the collected load related information;
and the fatigue strength determining module 10 is connected with the central control module 4 and is used for determining the fatigue strength of the welding part based on the stress analysis result and the load strength analysis result.
As shown in fig. 2, the method for detecting fatigue strength of a welding portion according to an embodiment of the present invention includes the following steps:
s101, collecting images of a welding part and an integral device by using camera equipment through an image collecting module; collecting parameters of the whole device and relevant information of a welding part through an information collecting module;
s102, processing the acquired image of the welding part through an image processing module;
s103, a central control module utilizes a single chip microcomputer or a controller to coordinate and control normal work of each module of the detection system for the fatigue strength of the welding part;
s104, constructing a three-dimensional model of the device based on the acquired parameters of the whole device and the image through a model construction module;
s105, detecting and calculating stress data of two sides of the welding part through a stress detection module; performing stress analysis on the welding part based on the collected stress data through a stress analysis module;
s106, acquiring load related information based on the constructed three-dimensional model through a load condition acquisition module; analyzing the load strength based on the collected load related information through a load analysis module;
and S107, determining the fatigue strength of the welding part by the fatigue strength determining module based on the stress analysis result and the load strength analysis result.
The related information of the welding part provided by the embodiment of the invention comprises the thickness of the weldment, the width of the welding part, the surplus height of the welding part and the radius of the welding part.
The invention is further described with reference to specific examples.
Example 1
The method for detecting fatigue strength of a welding part provided by the embodiment of the invention is shown in fig. 1, and as a preferred embodiment, as shown in fig. 3, the method for constructing a three-dimensional model of a device through a model construction module based on acquired parameters of an overall device and an image provided by the embodiment of the invention comprises the following steps:
s201, constructing a three-dimensional geometric model of a device according to device data and a slice gray-scale image obtained by scanning the device, wherein the three-dimensional geometric model comprises the slice gray-scale images of the device at different scanning positions;
s202, carrying out gridding processing on each slice gray level image in the three-dimensional geometric model, and generating an equivalent grid in each slice gray level image; gridding the three-dimensional space mapped by the three-dimensional geometric model according to the grid information of the grid generated in the slice gray-scale image to obtain a three-dimensional grid model of the device;
s203, calculating the gray value of the space area corresponding to other grids in the three-dimensional grid model according to the gray value of the image area corresponding to each grid in the slice gray image; and performing color reconstruction on the space regions corresponding to all the grids according to the gray values corresponding to all the grids in the three-dimensional grid model to obtain the three-dimensional digital model of the device.
The embodiment of the present invention provides a method for calculating gray values of spatial regions corresponding to other grids in the three-dimensional grid model according to gray values of image regions corresponding to each grid in the slice gray map, including:
respectively acquiring the gray value of an image area corresponding to each grid for each slice gray image in the three-dimensional grid model; and carrying out inverse distance weighted interpolation calculation in a controllable range on the gray value of the image area corresponding to each grid in the slice gray image to obtain the gray value of the space area corresponding to other grids in the three-dimensional grid model.
The method for performing color reconstruction on the space regions corresponding to all the grids according to the gray values corresponding to all the grids in the three-dimensional grid model to obtain the three-dimensional digital model of the device provided by the embodiment of the invention comprises the following steps:
respectively acquiring a maximum gray value, a minimum gray value and a middle gray value according to the gray values corresponding to all the grids in the three-dimensional grid model; wherein the intermediate grayscale value is an average of the maximum grayscale value and the minimum grayscale value;
selecting a preset rule to calculate RGB color mark values of a space region corresponding to the grid according to the size relation between the gray value corresponding to the grid and the maximum gray value, the minimum gray value and the middle gray value respectively for any grid in the three-dimensional grid model;
and performing color reconstruction on the space region corresponding to the grid according to the RGB color scale values to obtain a three-dimensional digital model of the device.
Example 2
Fig. 1 shows a method for detecting fatigue strength of a welding portion according to an embodiment of the present invention, and fig. 4 shows a preferred embodiment of the method for analyzing stress of a welding portion based on collected stress data by a stress analysis module according to an embodiment of the present invention, where the method includes:
s301, calculating node force and moment of each welding part bit unit node on the welding part; calculating linear force and moment of each welding part bit unit node on the welding part based on the node force and moment;
s302, calculating normal structural stress and shearing structural stress on the welding position along the thickness direction of the welding position based on the linear force and the moment; calculating an equivalent stress intensity factor based on the normal structural stress and the shear structural stress;
s303, calculating an average equivalent stress intensity factor based on the equivalent stress intensity factor; and taking the average equivalent stress intensity factor as an evaluation parameter of the stress analysis of the welding part, and performing linear regression analysis on stress data to obtain a stress analysis result.
The equivalent stress intensity factor calculation formula provided by the embodiment of the invention is as follows:
wherein, Δ KⅠDenotes the type I stress intensity factor, Δ K||The type II stress intensity factor is expressed, beta represents a coefficient related to the ductility of the material, and the type I and type II stress intensity factors are respectively calculated by the following formula:
wherein the content of the first and second substances,
a represents the geometric correction coefficient of the stress intensity factor corresponding to the film stress, a represents the crack length, trRepresents the critical crack length;
representing the geometric correction coefficient of the bending stress corresponding to the stress intensity factor;
representing the correction coefficient, σ, of the stress intensity factor to shear stressm＝fy′/t，σb＝6Mx′/t2，τsRepresenting shear structural stress at the weld site;
the embodiment of the invention provides a method for calculating the linear force and the moment of each welding position unit node on the welding part by the node force and the moment, which comprises the following steps:
and calculating the node force and moment of each welding part bit unit node on the welding part under the global coordinate system (x, y, z), and converting the node force and moment into the node force and moment under the local coordinate system (x ', y ', z ') of each welding part bit unit node through coordinate transformation.
The embodiment of the invention provides a method for calculating linear force and moment of each welding position unit node on the welding part based on the node force and moment, which comprises the following steps:
wherein, F1、F2、F3...Fn-1The node force of the welding seam unit node in the y' direction; f. of1、f2、f3...fn-1For the joint of the weld unit in the y' directionThe linear force of (a); l1、l2、l3...ln-1Is the boundary length of the cell on the weld.
Example 3
The method for detecting fatigue strength of a welding portion according to an embodiment of the present invention is shown in fig. 1, and as a preferred embodiment, as shown in fig. 5, the method for analyzing load strength based on collected load-related information by a load analysis module according to an embodiment of the present invention includes:
s401, carrying out finite element simulation based on the collected load information and the constructed three-dimensional model, and establishing an integral structure scale model; establishing a fine welding part model of the integral structure scale model by using a sub-model method, and calculating an equivalent stress amplitude accurate value of the welding part;
s402, simplifying the fine model of the welding part into a stress structure system of the welding part, carrying out optimization analysis on corresponding parameter values based on the equivalent stress amplitude accurate value, and determining a simplified model for analyzing the load effect of the welding part;
and S403, obtaining a load effect analysis result of the welding position based on the simplified model of the welding position load effect analysis.
The method for establishing the fine welding part model of the integral structure scale model by using the sub-model method and calculating the equivalent stress amplitude accurate value of the welding part comprises the following steps:
cutting out a welding part from the overall structure scale model, and performing fine grid division to obtain a fine welding part model; carrying out coarse mesh division on the obtained integral structure scale model, applying load and calculating to obtain displacement response of the boundary part of the fine model of the welding part;
applying the obtained displacement response as a boundary condition to a cutting boundary of the fine model of the welding part by adopting a linear interpolation method; keeping the load loading unchanged, and calculating the fine model of the welding part to obtain the equivalent stress amplitude accurate value of the welding part.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A weld site fatigue strength detection system, the weld site fatigue strength detection system comprising:
the image acquisition module is connected with the central control module and is used for acquiring images of the welding part and the whole device by utilizing the camera equipment;
the information acquisition module is connected with the central control module and is used for acquiring parameters of the whole device and relevant information of a welding part;
the image processing module is connected with the central control module and is used for processing the acquired images of the welding parts;
the central control module is connected with the image acquisition module, the information acquisition module, the image processing module, the model construction module, the stress detection module, the stress analysis module, the load condition acquisition module, the load analysis module and the fatigue strength determination module and is used for coordinating and controlling the normal work of each module of the welding part fatigue strength detection system by utilizing a single chip microcomputer or a controller;
the model building module is connected with the central control module and used for building a three-dimensional model of the device based on the acquired parameters of the whole device and the acquired images, and comprises:
constructing a three-dimensional geometric model of a device according to device data obtained by scanning the device and a slice gray-scale image, wherein the three-dimensional geometric model comprises the slice gray-scale images of the device at different scanning positions;
gridding each slice gray level image in the three-dimensional geometric model, and generating an equivalent grid in each slice gray level image; gridding the three-dimensional space mapped by the three-dimensional geometric model according to the grid information of the grid generated in the slice gray-scale image to obtain a three-dimensional grid model of the device;
calculating the gray value of the space area corresponding to other grids in the three-dimensional grid model according to the gray value of the image area corresponding to each grid in the slice gray image; performing color reconstruction on spatial regions corresponding to all grids according to gray values corresponding to all the grids in the three-dimensional grid model to obtain a three-dimensional digital model of the device;
the stress detection module is connected with the central control module and used for detecting and calculating stress data on two sides of the welding part;
stress analysis module is connected with central control module for welding position stress analysis is carried out based on the stress data of gathering, includes:
calculating the node force and moment of each welding part bit unit node on the welding part; calculating linear force and moment of each welding part bit unit node on the welding part based on the node force and moment;
calculating normal structural stress and shear structural stress on the welding part along the thickness direction of the welding part based on the linear force and the moment;
calculating an equivalent stress intensity factor based on the normal structural stress and the shear structural stress using the following equation:
wherein, Δ KⅠDenotes the type I stress intensity factor, Δ K||The type II stress intensity factor is expressed, β represents a coefficient related to the ductility of the material, and the type I and II stress intensity factors are respectively calculated by the following formula:
wherein the content of the first and second substances,
a represents the geometric correction coefficient of the stress intensity factor corresponding to the film stress, a represents the crack length, trRepresents the critical crack length;
representing the geometric correction coefficient of the bending stress corresponding to the stress intensity factor;
representing the correction coefficient, σ, of the stress intensity factor to shear stressm＝fy′/t，σb＝6Mx′/t2，τsRepresenting shear structural stress at the weld site;
calculating an average equivalent stress intensity factor based on the equivalent stress intensity factors; taking the average equivalent stress intensity factor as an evaluation parameter of the stress analysis of the welding part, and performing linear regression analysis on stress data to obtain a stress analysis result;
the load condition acquisition module is connected with the central control module and is used for acquiring load related information based on the constructed three-dimensional model;
the load analysis module is connected with central control module for load intensity is analyzed based on the relevant information analysis load of the load of gathering, include:
carrying out finite element simulation based on the collected load information and the constructed three-dimensional model, and establishing an overall structure scale model by using ABAQUS;
establishing a fine welding part model of the integral structure scale model by using a sub-model method, and calculating an equivalent stress amplitude accurate value of the welding part;
simplifying the fine model of the welding part into a stress structure system of the welding part, carrying out optimization analysis on the value of the corresponding parameter based on the equivalent stress amplitude accurate value, and determining a simplified model for analyzing the load effect of the welding part;
analyzing the load strength of the welding part by using the simplified model for analyzing the load effect of the welding part, and further obtaining a load effect analysis result of the welding part;
and the fatigue strength determining module is connected with the central control module and is used for determining the fatigue strength of the welding part based on the stress analysis result and the load strength analysis result.
2. The system for detecting the fatigue strength of the welding position according to claim 1, wherein the information acquisition module is used for acquiring the relevant information of the welding position, and the relevant information comprises the thickness of the weldment, the width of the welding position, the height of the welding position and the radius of the welding position.
3. The system for detecting fatigue strength of a welding part according to claim 1, wherein in the model building module, the calculating gray values of the spatial regions corresponding to other grids in the three-dimensional grid model according to the gray value of the image region corresponding to each grid in the slice gray map comprises:
respectively acquiring the gray value of an image area corresponding to each grid for each slice gray image in the three-dimensional grid model; and carrying out inverse distance weighted interpolation calculation in a controllable range on the gray value of the image area corresponding to each grid in the slice gray image to obtain the gray value of the space area corresponding to other grids in the three-dimensional grid model.
4. The system for detecting fatigue strength of a welding part according to claim 1, wherein in the model building module, the obtaining of the three-dimensional digital model of the device by performing color reconstruction on the spatial regions corresponding to all the grids according to the gray-scale values corresponding to all the grids in the three-dimensional grid model comprises:
respectively acquiring a maximum gray value, a minimum gray value and a middle gray value according to the gray values corresponding to all the grids in the three-dimensional grid model; wherein the intermediate grayscale value is an average of the maximum grayscale value and the minimum grayscale value;
selecting a preset rule to calculate RGB color mark values of a space region corresponding to the grid according to the size relation between the gray value corresponding to the grid and the maximum gray value, the minimum gray value and the middle gray value respectively for any grid in the three-dimensional grid model;
and performing color reconstruction on the space region corresponding to the grid according to the RGB color scale values to obtain a three-dimensional digital model of the device.
5. The system for detecting fatigue strength of a welded portion according to claim 1, wherein the calculating linear force and moment of each welded bit cell node at the welded portion from the node force and moment in the stress analysis module comprises:
and calculating the node force and moment of each welding part bit unit node on the welding part under the global coordinate system (x, y, z), and converting the node force and moment into the node force and moment under the local coordinate system (x ', y ', z ') of each welding part bit unit node through coordinate transformation.
6. The system for detecting fatigue strength of a welded portion according to claim 1, wherein the calculating linear force and moment of each welded bit unit node on the welded portion based on the node force and moment in the stress analysis module comprises:
wherein, F1、F2、F3...Fn-1The node force of the welding seam unit node in the y' direction; f. of1、f2、f3...fn-1Linear force of the welding seam unit node in the y' direction; l1、l2、l3...ln-1Is the boundary length of the cell on the weld.
7. The system for detecting fatigue strength of a welding part according to claim 1, wherein in the load analysis module, the establishing of the fine welding part model of the dimensional model of the overall structure by using a sub-model method and the calculating of the equivalent stress amplitude accuracy of the welding part thereof comprise:
cutting out a welding part from the overall structure scale model, and performing fine grid division to obtain a fine welding part model; carrying out coarse mesh division on the obtained integral structure scale model, applying load and calculating to obtain displacement response of the boundary part of the fine model of the welding part;
applying the obtained displacement response as a boundary condition to a cutting boundary of the fine model of the welding part by adopting a linear interpolation method; keeping the load loading unchanged, and calculating the fine model of the welding part to obtain the equivalent stress amplitude accurate value of the welding part.
8. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the weld site fatigue strength detection system of any one of claims 1-8 when executed on an electronic device.
9. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the detection system of weld site fatigue strength according to any one of claims 1 to 8.
10. An information data processing terminal, characterized in that the information data processing terminal is used for realizing the detection system of the fatigue strength of the welding part according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110413743.1A CN113295688A (en) | 2021-04-16 | 2021-04-16 | Detection system and detection method for fatigue strength of welding part |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110413743.1A CN113295688A (en) | 2021-04-16 | 2021-04-16 | Detection system and detection method for fatigue strength of welding part |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113295688A true CN113295688A (en) | 2021-08-24 |
Family
ID=77318805
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110413743.1A Pending CN113295688A (en) | 2021-04-16 | 2021-04-16 | Detection system and detection method for fatigue strength of welding part |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113295688A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116663190A (en) * | 2023-06-06 | 2023-08-29 | 嘉丰盛精密电子科技(孝感)有限公司 | Method for identifying splicing strength of stamping parts in shielding cover |
| CN117113520A (en) * | 2023-10-25 | 2023-11-24 | 国网江西省电力有限公司电力科学研究院 | Displacement field loading-based displacement field loading method and system for detecting sound barrier of transformer substation |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102279190A (en) * | 2011-04-29 | 2011-12-14 | 广州有色金属研究院 | Image detection method for weld seam surface defects of laser welded plates of unequal thickness |
| JP2012198164A (en) * | 2011-03-23 | 2012-10-18 | Jfe Steel Corp | Strength evaluation method for laser lap weld joint |
| CN103226626A (en) * | 2013-02-27 | 2013-07-31 | 东南大学 | Method for simplifying analysis model of fatigue loading effect of orthotropic steel bridge deck |
| JP2014052211A (en) * | 2012-09-05 | 2014-03-20 | Mitsubishi Heavy Ind Ltd | Welded part evaluation apparatus and welded part evaluation method |
| CN104964886A (en) * | 2015-05-27 | 2015-10-07 | 东南大学 | Welded member fatigue stress and strain real-time non-contact type monitoring method |
| CN105740551A (en) * | 2016-02-02 | 2016-07-06 | 湖南大学 | Weld joint fatigue life prediction method |
| CN109887073A (en) * | 2018-08-16 | 2019-06-14 | 清能艾科（深圳）能源技术有限公司 | The three-dimensional digital model construction method and device of rock core |
| CN110059404A (en) * | 2019-04-16 | 2019-07-26 | 江铃汽车股份有限公司 | A kind of weld fatigue calculation method |
| CN111881602A (en) * | 2020-07-17 | 2020-11-03 | 成都工业学院 | Welding parameter optimization method based on minimum energy finite element numerical analysis method |
| CN111932423A (en) * | 2020-07-16 | 2020-11-13 | 开封大学 | Regional industry cluster monitoring platform method and application thereof |
| US20200394348A1 (en) * | 2019-06-12 | 2020-12-17 | Sichuan University | Method for assessing fatigue damage and a fatigue life based on a crystal plastic welding process model |
-
2021
- 2021-04-16 CN CN202110413743.1A patent/CN113295688A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012198164A (en) * | 2011-03-23 | 2012-10-18 | Jfe Steel Corp | Strength evaluation method for laser lap weld joint |
| CN102279190A (en) * | 2011-04-29 | 2011-12-14 | 广州有色金属研究院 | Image detection method for weld seam surface defects of laser welded plates of unequal thickness |
| JP2014052211A (en) * | 2012-09-05 | 2014-03-20 | Mitsubishi Heavy Ind Ltd | Welded part evaluation apparatus and welded part evaluation method |
| CN103226626A (en) * | 2013-02-27 | 2013-07-31 | 东南大学 | Method for simplifying analysis model of fatigue loading effect of orthotropic steel bridge deck |
| CN104964886A (en) * | 2015-05-27 | 2015-10-07 | 东南大学 | Welded member fatigue stress and strain real-time non-contact type monitoring method |
| CN105740551A (en) * | 2016-02-02 | 2016-07-06 | 湖南大学 | Weld joint fatigue life prediction method |
| CN109887073A (en) * | 2018-08-16 | 2019-06-14 | 清能艾科（深圳）能源技术有限公司 | The three-dimensional digital model construction method and device of rock core |
| CN110059404A (en) * | 2019-04-16 | 2019-07-26 | 江铃汽车股份有限公司 | A kind of weld fatigue calculation method |
| US20200394348A1 (en) * | 2019-06-12 | 2020-12-17 | Sichuan University | Method for assessing fatigue damage and a fatigue life based on a crystal plastic welding process model |
| CN111932423A (en) * | 2020-07-16 | 2020-11-13 | 开封大学 | Regional industry cluster monitoring platform method and application thereof |
| CN111881602A (en) * | 2020-07-17 | 2020-11-03 | 成都工业学院 | Welding parameter optimization method based on minimum energy finite element numerical analysis method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116663190A (en) * | 2023-06-06 | 2023-08-29 | 嘉丰盛精密电子科技(孝感)有限公司 | Method for identifying splicing strength of stamping parts in shielding cover |
| CN116663190B (en) * | 2023-06-06 | 2023-11-07 | 嘉丰盛精密电子科技(孝感)有限公司 | Method for identifying splicing strength of stamping parts in shielding cover |
| CN117113520A (en) * | 2023-10-25 | 2023-11-24 | 国网江西省电力有限公司电力科学研究院 | Displacement field loading-based displacement field loading method and system for detecting sound barrier of transformer substation |
| CN117113520B (en) * | 2023-10-25 | 2024-02-06 | 国网江西省电力有限公司电力科学研究院 | Displacement field loading-based transformer substation sound barrier detection method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7241139B2 (en) | Server device, image processing method, and image processing system | |
| CN113295688A (en) | Detection system and detection method for fatigue strength of welding part | |
| CN105893213B (en) | A kind of method for detecting abnormality, application and monitoring device | |
| US9870690B2 (en) | Methods and systems for a universal wireless platform for asset monitoring | |
| JP5688533B1 (en) | Concrete structure maintenance management system | |
| CN105157590A (en) | Construction health monitoring system based on three-dimensional laser scanning technology | |
| CN111283307A (en) | Simulation welding method and device, terminal equipment and storage medium | |
| US10861247B2 (en) | Roof report generation | |
| CN113570396A (en) | Time series data abnormity detection method, device, equipment and storage medium | |
| CN107729582A (en) | Component defect inspection and forecasting system based on TLS | |
| US10437203B2 (en) | Methods and systems for dynamic workflow prioritization and tasking | |
| CN101796519B (en) | System for forecasting erection accuracy of fabricating blocks of ship, method, and media thereof | |
| CN111914439A (en) | Modeling method and device of finite element model, storage medium and electronic equipment | |
| US11982998B2 (en) | Manufacturing monitoring assistance device, manufacturing monitoring assistance method, and manufacturing monitoring assistance program | |
| CN115302759A (en) | Additive manufacturing monitoring and regulating method, system and storage medium | |
| CN112419402B (en) | Positioning method and system based on multispectral image and laser point cloud | |
| JP2024019350A (en) | Information processing apparatus, information processing method, and program | |
| CN113218986A (en) | System and method for detecting compactness after prestressed grouting construction | |
| CN116858102A (en) | Weld joint size detection method, system, medium and equipment based on point cloud matching | |
| KR101717597B1 (en) | The dimensional control system based on mobile | |
| CN112395782A (en) | CAE-based method and device for calculating coordinates of welding points in batch | |
| KR100302523B1 (en) | Service / year demand management device and method for local exchange network node planning | |
| CN114580236A (en) | Fatigue analysis method, fatigue analysis device and computer-readable storage medium | |
| JP6735298B2 (en) | Deflection estimation device, deflection estimation method, and program | |
| CN116201596A (en) | Tunnel construction super-undermining analysis method, equipment, system and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |