CN112818465B - Method and system for predicting failure of welding spot - Google Patents
Method and system for predicting failure of welding spot Download PDFInfo
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Abstract
The invention relates to the technical field of automobile computer aided design, in particular to a method and a system for predicting failure of a welding spot, wherein the method for predicting failure of the welding spot comprises the steps of obtaining first characteristic information and second characteristic information matched with a first connecting object, and third characteristic information and fourth characteristic information matched with a second connecting object; forming a first failure parameter, a first calculation factor and a second calculation factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information; forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor; forming a collision model of welding spot failure according to the first failure data and the second failure data; and acquiring failure risk parameters of the welding spots according to the collision model.
Description
Technical Field
The invention relates to the technical field of automotive computer aided design, in particular to a method and a system for predicting failure of a welding spot.
Background
Since the birth of an automobile assembly line, resistance spot welding is an indispensable important part on a manufacturing production line, the resistance spot welding bears over 75 percent of automobile body connecting work due to the advantages of light weight, high static strength, good reliability, stable performance and easiness in realizing automation, and the automobile body structure is almost formed by connecting metal thin-wall parts through the resistance spot welding. Typical body structures contain welding spots of about 4000-7000 and the nugget diameter and the spacing between the welding spots are determined by the thickness of the sheets to be joined, usually between 3-7mm nugget diameter, with an average value of typically 6mm. Therefore, the bonding strength of the welding spots is very worthy of attention, especially in the collision process, when the whole vehicle structure is impacted by external strong load, the welding spots at the lap joint of the parts are invalid, the integrity of the whole vehicle structure can be directly influenced, the performance of the parts is damaged, the characteristics influence even the transmission path of collision energy, and members are injured, so that in order to avoid the occurrence of the situation and improve the collision resistance of the whole vehicle, the welding spot invalidation caused by collision needs to be taken into consideration in the collision safety development of the whole vehicle.
With the rapid development of computer technology, the research on automobile collision safety is more and more carried out by adopting CAE simulation means for structural analysis and design, and compared with the traditional collision experiment simulation, the optimization can effectively save development cost and shorten the research and development period, so that how to predict the failure condition of a welding spot in the CAE simulation stage and improve the collision resistance of the whole automobile becomes one of the concerns of engineering software development companies and automobile design research and development departments. At present, most welding spot failure simulation means are complex, simulation precision is not good, application is complex, and automatic large-scale deployment cannot be achieved, so that research on a whole vehicle welding spot failure prediction method is necessary.
Disclosure of Invention
The invention aims to provide a method for predicting the failure of the welding spot to obtain necessary parameters of failure criteria aiming at the defects of the prior art, more accurately judge the fracture failure behavior of the welding spot part in the collision simulation process of the whole vehicle, improve the precision of a whole simulation calculation model and provide guarantee for the development and design of the collision of the whole vehicle.
The invention is realized by the following technical scheme, in particular;
in one aspect, the present invention provides a method for predicting solder joint failure, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
acquiring first characteristic information and second characteristic information matched with the first connecting object, and third characteristic information and fourth characteristic information matched with the second connecting object;
forming a first failure parameter, a first calculation factor and a second calculation factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information;
forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor;
forming a collision model of welding spot failure according to the first failure data and the second failure data;
and acquiring failure risk parameters of the welding spots according to the collision model.
Preferably, the method for predicting solder joint failure includes: the forming of the first failure parameter, the first calculation factor and the second calculation factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information specifically includes:
acquiring a first calculation parameter and a second calculation parameter according to the first characteristic information and the second characteristic information; acquiring a third calculation parameter and a fourth calculation parameter according to the three characteristic information and the fourth characteristic information;
forming a first calculation factor according to the first calculation parameter and the third calculation parameter; and forming a second calculation factor according to the second calculation parameter and the fourth calculation parameter.
And forming the first failure parameter according to the first calculation parameter, the second calculation parameter, the third calculation parameter and the fourth calculation parameter.
Preferably, the method for predicting solder joint failure includes: forming a first calculation factor according to the first calculation parameter and the third calculation parameter; forming a second calculation factor according to the second calculation parameter and the fourth calculation parameter specifically includes:
selecting a smaller value from the first calculation parameter and the third calculation parameter to form the first calculation factor;
and selecting the smaller value of the second calculation parameter and the fourth calculation parameter to form the second calculation factor.
Preferably, the method for predicting solder joint failure includes: the specific step of forming the first failure parameter according to the first calculation parameter, the second calculation parameter, the third calculation parameter and the fourth calculation parameter is as follows:
Tv=0.8*min(T1;T2)+0.2*max(T1;T2)；
wherein Tv is the first failure parameter;
t1 is the first calculation parameter and,
t2 is the third calculation parameter.
Preferably, the method for predicting solder joint failure includes: forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor specifically comprises:
wherein, AS is the first failure data; AN is the second failure data; tv is the first failure parameter; rp is the first calculation factor; rw is the second calculation factor;
a is a constant, and the value range thereof is 13.1-19.8; b is a constant with the value range of 6.1-8.1; c is a constant with the value range of 1.1-1.5; d is a constant, and the value range of d is 0.19-0.52; e is a constant with the value range of 1.2-1.7; f is a constant, and the value range of f is 0.8-1.2; g is a constant, and the value range of g is 0.31-0.66; h is a constant, and the value range of h is 0.27-0.55.
Preferably, the method for predicting solder joint failure includes: the step of obtaining failure risk parameters of the welding spot according to the collision model specifically comprises the following steps:
wherein: f is the failure risk parameter;
n is the actual tensile force value of the welding spot;
s is the actual shearing force value of the welding spot;
a1 is a constant, and the value range thereof is 1.4-2.0;
a2 is a constant and has a value ranging from 1.4 to 2.0.
In another aspect, the present invention provides a system for predicting solder joint failure, wherein: comprises the steps of (a) preparing a substrate,
the collision finite element model is used for acquiring first characteristic information and second characteristic information matched with the first connecting object, and third characteristic information and fourth characteristic information matched with the second connecting object;
the calculating unit is used for forming a first failure parameter, a first calculating factor and a second calculating factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information; forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor;
the failure collision model forming unit is used for forming a collision model of welding spot failure according to the first failure data and the second failure data;
and the evaluation unit is used for acquiring failure risk parameters of the welding spots according to the collision model and forming an estimation result in a state that the failure risk parameters are matched with a preset threshold value.
In still another aspect, the present invention further provides a computer readable storage medium, on which a computer program is stored, wherein the program is executed by a processor to implement a method for estimating solder joint failure as described in any one of the above.
In another aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods for predicting solder joint failure described above when executing the computer program.
Compared with the prior art, the invention has the advantages that:
parameters in the welding spot failure criterion are obtained through the welding spot failure material knowledge base module, so that the generation of failure parameters does not need to be verified in advance through a physical test, and a large amount of time is saved. In addition, the welding spot failure estimation method has strong universality and is suitable for one-dimensional welding spot units and three-dimensional welding spot units in LS-Dyna, pamcrash and other explicit dynamic simulation software. The welding spot failure parameters are convenient to deploy, all welding spots of the automobile body can be automatically modified in batches, and the use convenience is greatly improved.
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FIG. 1 is a schematic flow chart of a method for predicting solder joint failure according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart of a method for predicting solder joint failure according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Example one
As shown in fig. 1, in one aspect, the present invention provides a method for predicting solder joint failure, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
step S110, acquiring first characteristic information and second characteristic information matched with a first connecting object, and third characteristic information and fourth characteristic information matched with a second connecting object; before the step is executed, the method needs to be led into a collision finite element model, wherein the collision finite element model comprises 1D units or 3D units for simulating welding spots and connecting objects connected with the welding spots, and the connecting objects in the collision finite element model comprise elastic-plastic material information and thickness information of each connecting object. Each welding spot typically includes a first connection object and a second connection object, for example, the first characteristic information of the first connection object may be thickness information of the first connection member, and the second characteristic information may be elastic-plastic material information of the first connection member. The third characteristic information of the second connection object may be thickness information of the second connection member, and the fourth characteristic information may be elasto-plastic material information of the second connection member.
Step S120, forming a first failure parameter, a first calculation factor and a second calculation factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information;
as shown in fig. 2, step S1201, obtaining a first calculation parameter and a second calculation parameter according to the first characteristic information and the second characteristic information; acquiring a third calculation parameter and a fourth calculation parameter according to the three characteristic information and the fourth characteristic information; specifically, the method comprises the following steps: and generating a welding spot failure criterion according to the mechanical analysis of a welding core pulling and pressing and bending combined stress mode in the impact process of spot welding connection, and transmitting the welding spot failure criterion to the explicit dynamics analysis module. The second characteristic information of the first connecting piece and the fourth characteristic information of the second connecting piece are respectively compared and calculated with the material failure parameters stored in the welding spot failure material library module to obtain a first calculated parameter (namely the yield limit parameter of the first connecting piece) and a second calculated parameter (namely the tensile limit parameter of the first connecting piece) of the first connecting piece, a third calculated parameter (namely the yield limit parameter of the second connecting piece) and a fourth calculated parameter (namely the tensile limit parameter of the second connecting piece) of the second connecting piece.
Step S1202, forming a first calculation factor according to the first calculation parameter and the third calculation parameter; and forming a second calculation factor according to the second calculation parameter and the fourth calculation parameter. Specifically, a smaller value is selected from the first calculation parameter and the third calculation parameter to form the first calculation factor; and selecting the smaller value of the second calculation parameter and the fourth calculation parameter to form the second calculation factor.
Step S1203, forming the first failure parameter according to the first calculation parameter, the second calculation parameter, the third calculation parameter, and the fourth calculation parameter. In particular, the amount of the solvent to be used,
Tv=0.8*min(T1;T2)+0.2*max(T1;T2)；
wherein Tv is the first failure parameter;
t1 is the first calculation parameter,
t2 is the third calculation parameter.
Step S130, forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor; in particular, the amount of the solvent to be used,
wherein AS is the first failure data (i.e., shear failure rate of the solder joint); AN is the second failure data (i.e., tensile failure force of the solder joint); tv is the first failure parameter; rp is the first calculation factor; rw is the second calculation factor; a is a constant, and the value range of a is 13.1-19.8; b is a constant with the value range of 6.1-8.1; c is a constant with the value range of 1.1-1.5; d is a constant, and the value range of d is 0.19-0.52; e is a constant with the value range of 1.2-1.7; f is a constant, and the value range of f is 0.8-1.2; g is a constant, and the value range of g is 0.31-0.66; h is a constant and has a value ranging from 0.27 to 0.55.
Step S140, forming a collision model of failure of the welding spot according to the first failure data and the second failure data;
and S150, acquiring failure risk parameters of the welding spot according to the collision model. Specifically, for example, when the pamcrash simulation model is used, the specific calculation method is as follows:
wherein: f is the failure risk parameter;
n is the actual tensile force value of the welding spot;
s is the actual shearing force value of the welding spot;
a1 is a constant, and the value range thereof is 1.4-2.0;
a2 is a constant and has a value ranging from 1.4 to 2.0.
And when the failure risk parameter is not more than 1, judging that the failure risk is smaller, otherwise, judging that the failure risk is larger.
And when the LS-Dyna simulation model is used, acquiring failure risk parameters of the welding spot from the FVAL module.
And the welding spot failure material knowledge base module is used for verifying the welding spot failure behaviors of different materials and selecting proper material yield limit and fracture limit to estimate the welding spot failure.
In the application process, for the non-key attention area of the automobile, in order to balance the requirements of calculation efficiency and calculation precision, the traditional beam unit welding spot unit can be adopted in the whole automobile collision simulation model, and in the key attention area of the automobile, the solid welding spot unit can be adopted for simulation, so that the collision simulation precision is improved by matching with a welding spot failure prediction method.
According to the embodiment, the characteristic parameters of the two connecting pieces in the finite element collision model are analyzed, the tensile and shear load limit which can be borne by the welding point is obtained according to the material failure parameters stored in the welding point failure material library module and the welding point failure formula, and the collision model of the welding point failure is obtained, so that whether the welding point has a fracture risk or not can be predicted in collision simulation, the collision simulation precision is improved, and the automobile development time and cost are greatly saved.
Example two
In another aspect, the present invention provides a system for predicting solder joint failure, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the collision finite element model is used for acquiring first characteristic information and second characteristic information matched with the first connecting object, and third characteristic information and fourth characteristic information matched with the second connecting object;
the calculating unit is used for forming a first failure parameter, a first calculating factor and a second calculating factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information; forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor;
the failure collision model forming unit is used for forming a collision model of welding spot failure according to the first failure data and the second failure data;
and the evaluation unit is used for acquiring failure risk parameters of the welding spots according to the collision model and forming an estimation result in a state that the failure risk parameters are matched with a preset threshold value.
The working principle and the beneficial effects of the prediction system for the failure of the welding spot are the same as those of a prediction method for the failure of the welding spot, and the details are not repeated here.
EXAMPLE III
In still another aspect, the present invention further provides a computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements a method for predicting solder joint failure as described in any one of the above. Specifically, the method comprises the following steps: acquiring first characteristic information and second characteristic information matched with a first connecting object, and third characteristic information and fourth characteristic information matched with a second connecting object;
forming a first failure parameter, a first calculation factor and a second calculation factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information;
forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor;
forming a collision model of welding spot failure according to the first failure data and the second failure data;
and acquiring failure risk parameters of the welding spots according to the collision model.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network (such as the internet). The second computer system may provide the program instructions to the computer for execution. The term "storage media" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the wireless device testing operations described above, and may also perform related operations in the wireless device testing method provided in any embodiments of the present application.
Example four
The embodiment of the application provides electronic equipment, and the wireless equipment testing device provided by the embodiment of the application can be integrated into the electronic equipment. Fig. 3 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application. As shown in fig. 3, the present embodiment provides an electronic device 400, which includes: one or more processors 420; storage 410 to store one or more programs that, when executed by the one or more processors 420, cause the one or more processors 420 to implement:
acquiring first characteristic information and second characteristic information matched with the first connecting object, and third characteristic information and fourth characteristic information matched with the second connecting object;
forming a first failure parameter, a first calculation factor and a second calculation factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information;
forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor;
forming a collision model of welding spot failure according to the first failure data and the second failure data;
and acquiring failure risk parameters of the welding spots according to the collision model.
As shown in fig. 3, the electronic device 400 includes a processor 420, a storage device 410, an input device 430, and an output device 440; the number of the processors 420 in the electronic device may be one or more, and one processor 420 is taken as an example in fig. 3; the processor 420, the storage device 410, the input device 430, and the output device 440 in the electronic apparatus may be connected by a bus or other means, and are exemplified by a bus 450 in fig. 3.
The storage device 410 is used as a computer-readable storage medium for storing software programs, computer executable programs, and module units, such as program instructions corresponding to the wireless device testing method in the embodiments of the present application.
The storage device 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage 410 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, storage 410 may further include memory located remotely from processor 420, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 430 may be used to receive input numbers, character information, or voice information, and to generate key signal inputs related to user settings and function control of the electronic device. The output device 440 may include a display screen, speakers, etc.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will appreciate that the present invention is not limited to the particular embodiments described herein, and that various obvious changes, rearrangements and substitutions will now be apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in some detail by the above embodiments, the invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the invention, and the scope of the invention is determined by the scope of the appended claims.
Claims (7)
1. A method for predicting failure of a welding spot is characterized by comprising the following steps: comprises the steps of (a) preparing a substrate,
acquiring first characteristic information and second characteristic information matched with a first connecting object, and third characteristic information and fourth characteristic information matched with a second connecting object;
forming a first failure parameter, a first calculation factor and a second calculation factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information;
forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor;
forming a collision model of welding spot failure according to the first failure data and the second failure data;
obtaining failure risk parameters of the welding spot according to the collision model, wherein forming a first failure parameter, a first calculation factor and a second calculation factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information specifically comprises:
acquiring a first calculation parameter and a second calculation parameter according to the first characteristic information and the second characteristic information; acquiring a third calculation parameter and a fourth calculation parameter according to the three characteristic information and the fourth characteristic information;
forming a first calculation factor according to the first calculation parameter and the third calculation parameter; forming a second calculation factor according to the second calculation parameter and the fourth calculation parameter;
and forming the first failure parameter according to the first calculation parameter, the second calculation parameter, the third calculation parameter and the fourth calculation parameter.
2. The method for predicting the failure of the welding spot according to claim 1, wherein: forming a first calculation factor according to the first calculation parameter and the third calculation parameter; forming a second calculation factor according to the second calculation parameter and the fourth calculation parameter specifically includes:
selecting a smaller value from the first calculation parameter and the third calculation parameter to form the first calculation factor;
and selecting the smaller value of the second calculation parameter and the fourth calculation parameter to form the second calculation factor.
3. The method for predicting the failure of the welding spot according to claim 1, wherein: the specific step of forming the first failure parameter according to the first calculation parameter, the second calculation parameter, the third calculation parameter and the fourth calculation parameter is as follows:
Tv=0.8*min(T1;T2)+0.2*max(T1;T2)；
wherein Tv is the first failure parameter;
t1 is the first calculation parameter,
t2 is the third calculation parameter.
4. The method for predicting solder joint failure according to claim 1, wherein the obtaining of the solder joint failure risk parameter according to the collision model specifically comprises:
wherein: f is the failure risk parameter;
n is the actual tensile force value of the welding spot;
s is the actual shearing force value of the welding spot;
a1 is a constant, and the value range thereof is 1.4-2.0;
a2 is a constant, and the value range thereof is 1.4-2.0;
AS is first failure data;
AN is the second failure data.
5. A solder joint failure prediction system is characterized in that: comprises the steps of (a) preparing a substrate,
the collision finite element model is used for acquiring first characteristic information and second characteristic information matched with the first connecting object, and third characteristic information and fourth characteristic information matched with the second connecting object;
the calculating unit is used for forming a first failure parameter, a first calculating factor and a second calculating factor according to the first characteristic information, the second characteristic information, the third characteristic information and the fourth characteristic information; forming first failure data and second failure data according to the first failure parameter, the first calculation factor and the second calculation factor; acquiring a first calculation parameter and a second calculation parameter according to the first characteristic information and the second characteristic information; acquiring a third calculation parameter and a fourth calculation parameter according to the three characteristic information and the fourth characteristic information; specifically, a first calculation factor is formed according to the first calculation parameter and the third calculation parameter; forming a second calculation factor according to the second calculation parameter and the fourth calculation parameter; forming the first failure parameter according to the first calculation parameter, the second calculation parameter, the third calculation parameter and the fourth calculation parameter;
the failure collision model forming unit is used for forming a collision model of welding spot failure according to the first failure data and the second failure data;
and the evaluation unit is used for acquiring failure risk parameters of the welding spots according to the collision model and forming an estimation result in a state that the failure risk parameters are matched with a preset threshold value.
6. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method for solder joint failure prediction according to any one of claims 1-4.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements a method for predicting solder joint failure according to any of claims 1-4 when executing the computer program.
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