CN114896708B - Vehicle frame quality attribute quantification method and system - Google Patents
Vehicle frame quality attribute quantification method and system Download PDFInfo
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Abstract
The invention provides a method and a system for quantifying the mass attribute of a frame, wherein the method comprises the steps of obtaining the actual mass of the frame in the current actual vehicle, and respectively calculating the bending rigidity and the torsional rigidity corresponding to the frame based on a preset algorithm; acquiring the unsprung mass of the whole vehicle corresponding to the current actual vehicle according to the actual mass of the frame, and calculating the sprung mass of the whole vehicle corresponding to the current actual vehicle based on the total full-load mass corresponding to the current actual vehicle and the unsprung mass of the whole vehicle; and constructing a corresponding frame quality evaluation coefficient based on the actual mass, the bending rigidity and the torsional rigidity of the frame and the sprung mass of the whole vehicle, and judging the quality attribute of the frame according to the frame quality evaluation coefficient. By the aid of the method, the evaluation of the vehicle quality attribute is changed from subjective evaluation to objective evaluation, the evaluation accuracy of the vehicle frame quality attribute is improved, the purpose of comprehensive and scientific comparison of performances of different vehicle frames can be achieved, and the development efficiency of products is improved.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a method and a system for quantifying quality attributes of a frame.
Background
With the progress of science and technology and the rapid development of productivity, automobiles are popularized in daily life of people, great convenience is brought to the life of people, and the automobiles become one of indispensable transportation tools for people to go out.
Among them, the frame is one of important components of the automobile body and is a main body structure of the body. At present, in the process of designing and developing the frame, the quality of the frame is one of the important evaluation criteria for evaluating the quality of the frame, and therefore, how to accurately quantify the quality of the frame is a technical problem to be solved urgently in the prior art.
Therefore, in view of the shortcomings of the prior art, it is necessary to provide a method capable of accurately quantifying the mass properties of a vehicle frame.
Disclosure of Invention
Based on this, the invention aims to provide a method and a system for quantifying the mass attribute of a vehicle frame, so as to provide a method capable of accurately quantifying the mass attribute of the vehicle frame.
The embodiment of the invention provides a frame quality attribute quantification method in a first aspect, and the method comprises the following steps:
acquiring the actual mass of a frame in a current actual vehicle, and respectively calculating the bending stiffness and the torsional stiffness corresponding to the frame based on a preset algorithm;
acquiring the unsprung mass of the whole vehicle corresponding to the current actual vehicle according to the actual mass of the frame, and calculating the sprung mass of the whole vehicle corresponding to the current actual vehicle based on the total full-load mass corresponding to the current actual vehicle and the unsprung mass of the whole vehicle;
and constructing a corresponding frame quality evaluation coefficient based on the actual mass of the frame, the bending stiffness, the torsional stiffness and the whole sprung mass, and judging the quality attribute of the frame according to the frame quality evaluation coefficient.
The beneficial effects of the invention are: the method comprises the steps of respectively obtaining actual mass, bending rigidity and torsional rigidity corresponding to a frame in a current actual vehicle, calculating corresponding whole vehicle unsprung mass according to the obtained actual mass, further calculating whole vehicle sprung mass of the current vehicle according to full-load total mass of the current vehicle and the whole vehicle unsprung mass, finally accurately constructing a frame mass evaluation coefficient according to the whole vehicle sprung mass, the actual mass of the frame, the bending rigidity and the torsional rigidity, and accurately judging the quality of vehicle mass attributes according to the constructed frame mass evaluation coefficient. By the aid of the method, the evaluation of the vehicle quality attribute is changed from the original subjective evaluation depending on workers into the objective evaluation determined by the frame quality evaluation coefficient, the evaluation accuracy of the frame quality attribute is greatly improved, meanwhile, the purpose of comprehensive and scientific comparison of the performances of different frames can be achieved, the development efficiency of products is effectively improved, and the method is suitable for large-scale popularization and use.
Preferably, the step of acquiring the actual mass of the frame in the current actual vehicle comprises:
obtaining the size parameters of the frame in the actual vehicle at present, and constructing a one-to-one three-dimensional frame model in a preset program according to the size parameters;
and giving corresponding material density to the three-dimensional frame model, and calculating the model mass corresponding to the three-dimensional frame model according to the dimension parameters and the material density so as to set the model mass as the actual mass of the frame.
Preferably, the step of calculating the bending stiffness corresponding to the frame based on a preset algorithm includes:
arranging the frame on a preset test bed, and respectively arranging a servo motor at the center positions of two sides of the frame so as to apply gradually increased load to the centers of two sides of the frame through the servo motors, wherein the load has a maximum value;
respectively acquiring displacement amounts generated at the center positions of two sides of the frame through a preset displacement sensor, and calculating the bending rigidity corresponding to the frame according to a preset formula based on the load and the displacement amounts, wherein the expression of the preset formula is as follows:
B k =F/Z
wherein, B k Represents the bending stiffness, F represents the load, and Z represents the displacement amount.
Preferably, after the step of evaluating the height of the vehicle frame quality attribute according to the vehicle frame quality evaluation coefficient, the method further comprises:
generating a corresponding judgment report according to the judgment result of the frame quality attribute, and judging whether the judgment report meets the preset delivery requirement;
and if the judgment report meets the delivery requirements, packaging the current frame.
Preferably, the expression of the frame quality evaluation coefficient is as follows:
wherein, C m Representing said vehicle frame quality evaluation coefficient, M f Representing the actual mass, T, of the vehicle frame k Represents the torsional rigidity, B k Representing said bending stiffness, M A Representing the sprung mass of the entire vehicle.
The second aspect of the embodiment of the invention provides a vehicle frame quality attribute quantification system, which comprises:
the acquisition module is used for acquiring the actual mass of the frame in the current actual vehicle and respectively calculating the bending rigidity and the torsional rigidity corresponding to the frame based on a preset algorithm;
the calculating module is used for acquiring the whole vehicle unsprung mass corresponding to the current actual vehicle according to the actual mass of the frame, and calculating the whole vehicle sprung mass corresponding to the current actual vehicle based on the current full-load total mass corresponding to the actual vehicle and the whole vehicle unsprung mass;
and the construction module is used for constructing a corresponding frame quality evaluation coefficient based on the actual mass of the frame, the bending rigidity, the torsional rigidity and the whole sprung mass, and judging the height of the frame quality attribute according to the frame quality evaluation coefficient.
In the vehicle frame quality attribute quantifying system, the obtaining module is specifically configured to:
acquiring the size parameters of the frame in the actual vehicle at present, and constructing a one-to-one three-dimensional frame model in a preset program according to the size parameters;
and giving corresponding material density to the three-dimensional frame model, and calculating the model mass corresponding to the three-dimensional frame model according to the dimension parameters and the material density so as to set the model mass as the actual mass of the frame.
In the vehicle frame quality attribute quantification system, the calculation module is specifically configured to:
arranging the frame on a preset test bed, and arranging servo motors at the center positions of two sides of the frame respectively so as to apply gradually increased loads to the centers of the two sides of the frame through the servo motors, wherein the loads have maximum values;
respectively acquiring displacement amounts generated at the center positions of two sides of the frame through a preset displacement sensor, and calculating the bending rigidity corresponding to the frame according to a preset formula based on the load and the displacement amounts, wherein the expression of the preset formula is as follows:
B k =F/Z
wherein, B k Represents the bending stiffness, F represents the load, and Z represents the displacement amount.
In the vehicle frame quality attribute quantifying system, the vehicle frame quality attribute quantifying system further includes a judging module, and the judging module is specifically configured to:
generating a corresponding judgment report according to the judgment result of the frame quality attribute, and judging whether the judgment report meets the preset delivery requirement;
and if the judgment report meets the delivery requirements, packaging the current frame.
In the vehicle frame quality attribute quantification system, the expression of the vehicle frame quality evaluation coefficient is as follows:
wherein, C m Representing said vehicle frame quality evaluation coefficient, M f Representing the actual mass, T, of the vehicle frame k Representing the torsional stiffness, B k Representing said bending stiffness, M A Representing the sprung mass of the entire vehicle.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a method for quantifying a mass attribute of a vehicle frame according to a first embodiment of the present invention;
fig. 2 is a block diagram of a vehicle frame quality attribute quantifying system according to a second embodiment of the present invention.
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for purposes of illustration only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1, a vehicle frame quality attribute quantification method according to a first embodiment of the present invention is shown, and the vehicle frame quality attribute quantification method according to the first embodiment of the present invention can convert the original subjective evaluation by a worker into an objective evaluation determined by a vehicle frame quality evaluation coefficient, so as to greatly improve the accuracy of the evaluation of the vehicle frame quality attribute, and simultaneously, achieve the purpose of comprehensive and scientific comparison of performances of different vehicle frames, effectively improve the development efficiency of products, and is suitable for wide popularization and use.
Specifically, the method for quantifying the quality attribute of the vehicle frame provided by the embodiment specifically includes the following steps:
step S10, acquiring the actual mass of the frame in the current actual vehicle, and respectively calculating the bending stiffness and the torsional stiffness corresponding to the frame based on a preset algorithm;
specifically, in this embodiment, it should be noted that, the frame quality attribute quantification method provided in this embodiment is specifically applied to a frame of an automobile body, and is used for objectively and accurately evaluating the height of a frame quality attribute, so as to improve the development efficiency of the frame.
Further, in this step, it should be noted that, in order to accurately judge the height of the frame quality attribute, this step may first obtain the actual quality of the frame in the actual vehicle to be processed currently, and further process the frame based on the obtained actual quality.
Specifically, in this step, the step of obtaining the actual mass of the frame in the current actual vehicle includes:
the method includes the steps that firstly, size parameters of a frame in an actual vehicle to be processed currently are obtained, specifically, the size parameters include physical parameters such as length, thickness and width of the current frame, and further, after the size parameters of the current frame are obtained, a one-to-one three-dimensional frame model is further built in a preset program according to the currently obtained size parameters;
further, in this step, after the corresponding three-dimensional frame model is constructed, the material density corresponding to the current actual frame is assigned to the currently constructed three-dimensional frame model, and the model quality corresponding to the current three-dimensional frame model is further calculated according to the acquired dimensional parameters and the assigned material density, so that the currently calculated model quality can be set as the actual quality of the current actual frame.
Furthermore, in this step, it should be noted that, after the actual mass corresponding to the current actual frame is obtained, the bending stiffness and the torsional stiffness corresponding to the current actual frame are respectively calculated based on a preset algorithm in this step.
Specifically, in this step, the step of calculating the bending stiffness corresponding to the frame based on the preset algorithm includes:
in the step, the current actual frame is arranged on a preset test bench, and the servo motors are respectively arranged at the center positions of two sides of the current frame, on the basis, the step applies gradually increased loads to the centers of two sides of the current frame through the currently arranged servo motors, specifically, the loads have the maximum value, preferably, in the step, the maximum value of the loads is 2240N;
furthermore, in this step, a displacement sensor is also installed at each of the center positions of the two sides of the current frame in advance, in the actual test process, the displacement occurring at each of the center positions of the two sides of the current frame is collected by the currently preset displacement sensor in this step, after the necessary condition for calculating the bending stiffness of the current frame is obtained, that is, after the load and the displacement are obtained, the bending stiffness corresponding to the current frame is further calculated according to a preset formula based on the currently obtained load and displacement in this step, wherein the expression of the preset formula provided in this embodiment is:
B k =F/Z
wherein, B k The bending stiffness is represented, the load is represented by F, the displacement is represented by Z, and the bending stiffness of the current frame can be accurately calculated through the preset formula and the obtained load and displacement.
In addition, in this step, it should be further noted that the step of calculating the torsional rigidity corresponding to the frame based on the preset algorithm includes:
firstly, fixing the Z-direction translational freedom degree at the center of the first cross beam of the current frame and the translational freedom degree at the left side X, Y, Z direction of the frame longitudinal beam on the left and right rear leaf spring support positions on the test bench. Equal and opposite Z-direction forces are then applied at the front left/right shock absorber mounts, ensuring that the applied force times the distance between the two points gives a moment equal to 3389.54Nm (2500 ft-lb). The applied force is to ensure that the frame can generate certain torsional deformation without generating large errors in subsequent data reading due to over-low torsion.
Furthermore, vertical displacements Z1 and Z2 generated by upper points of lower edges of longitudinal beams corresponding to the left and right front shock absorbers and vertical displacements Z3 and Z4 generated by lower edges of longitudinal beams corresponding to the centers of the left and right rear plate spring supports are measured by a displacement sensor, and finally the torsional rigidity of the frame is obtained according to a theoretical calculation formula, wherein the expression of the theoretical calculation formula is as follows:
step S20, acquiring the whole vehicle unsprung mass corresponding to the current actual vehicle according to the actual mass of the frame, and calculating the whole vehicle sprung mass corresponding to the current actual vehicle based on the current full-load total mass corresponding to the actual vehicle and the whole vehicle unsprung mass;
further, in this step, it should be noted that, after the actual masses of the current actual frames are respectively obtained in step S10, the step further finds out the unsprung mass of the entire vehicle corresponding to the actual vehicle to be processed in the preset database according to the actual masses of the current actual frames, and on the basis, the step further calculates the sprung mass of the entire vehicle corresponding to the current actual vehicle based on the total full-load mass corresponding to the current actual vehicle and the unsprung mass of the entire vehicle obtained.
Specifically, the whole vehicle sprung mass of the current actual vehicle can be accurately obtained only by subtracting the whole vehicle unsprung mass of the current actual vehicle from the full-load total mass of the current actual vehicle.
And step S30, constructing a corresponding frame quality evaluation coefficient based on the actual mass of the frame, the bending stiffness, the torsional stiffness and the whole sprung mass, and judging the height of the frame quality attribute according to the frame quality evaluation coefficient.
Finally, in this step, it should be noted that, after the actual mass, the bending stiffness, the torsional stiffness, and the sprung mass of the entire vehicle of the current frame are respectively obtained through the above steps, a corresponding frame mass evaluation coefficient is further constructed based on the obtained actual mass, the bending stiffness, the torsional stiffness, and the sprung mass of the entire vehicle of the frame in this step, and in an actual development process, the height of the mass attribute of each frame can be accurately judged only according to the constructed frame mass evaluation coefficient, so that the method is suitable for popularization and use in a large range.
In this step, it should be noted that the above expression of the frame quality estimation coefficient is:
wherein, C m Representing said vehicle frame quality evaluation coefficient, M f Representing the actual mass, T, of the vehicle frame k Representing the torsional stiffness, B k Representing said bending stiffness, M A Representing the sprung mass of the entire vehicle.
In the embodiment, the frame quality evaluation coefficients suitable for each frame are constructed through the steps, and in the actual development process, the frame quality coefficients corresponding to each frame can be accurately judged only according to the frame quality evaluation coefficients, so that the product development efficiency is improved.
Further, in this embodiment, it should be further noted that, after the step of evaluating the height of the frame quality attribute according to the frame quality evaluation coefficient, the method further includes:
generating a corresponding judgment report according to the judgment result of the frame quality attribute, and judging whether the judgment report meets the preset delivery requirement;
and if the judgment report meets the delivery requirements, packaging the current frame.
Specifically, in the embodiment, the evaluation report corresponding to the quality attribute of each frame is finally generated, so that an objective and accurate evaluation result can be given to each frame through the evaluation report, whether each frame meets the factory requirements or not is further judged, and after the requirements are met, the frame is packaged.
When the vehicle mass estimation method is used, the actual mass, the bending rigidity and the torsional rigidity corresponding to the frame in the current actual vehicle are respectively obtained, the corresponding whole vehicle unsprung mass is calculated according to the obtained actual mass, the whole vehicle sprung mass of the current vehicle is further calculated according to the full-load total mass of the current vehicle and the whole vehicle unsprung mass, finally, the frame mass estimation coefficient can be accurately constructed according to the whole vehicle sprung mass, the actual mass of the frame, the bending rigidity and the torsional rigidity, and the height of the vehicle mass attribute can be accurately estimated according to the constructed frame mass estimation coefficient. By the aid of the method, the original subjective judgment of workers can be changed into objective judgment determined by the frame quality evaluation coefficient, the judgment accuracy of the frame quality attribute is greatly improved, meanwhile, the purpose of comprehensive and scientific comparison of performances of different frames can be achieved, the development efficiency of products is effectively improved, and the method is suitable for large-scale popularization and use.
It should be noted that the above implementation process is only for illustrating the applicability of the present application, but this does not represent that the vehicle frame quality attribute quantifying method of the present application has only the above implementation flow, and on the contrary, the vehicle frame quality attribute quantifying method of the present application can be incorporated into the feasible embodiments of the present application as long as the vehicle frame quality attribute quantifying method of the present application can be implemented.
In summary, the vehicle frame quality attribute quantification method provided by the embodiment of the invention can convert the original subjective judgment of the working personnel into the objective judgment determined by the vehicle frame quality evaluation coefficient, greatly improves the judgment accuracy of the vehicle frame quality attribute, can realize the purpose of comprehensive and scientific comparison of the performances of different vehicle frames, effectively improves the development efficiency of products, and is suitable for large-scale popularization and use.
Referring to fig. 2, a vehicle frame quality attribute quantifying system according to a second embodiment of the invention is shown, the system including:
the acquiring module 12 is configured to acquire an actual mass of a frame in a current actual vehicle, and calculate bending stiffness and torsional stiffness corresponding to the frame based on a preset algorithm;
the calculating module 22 is configured to obtain a whole vehicle unsprung mass corresponding to the current actual vehicle according to the actual mass of the frame, and calculate a whole vehicle sprung mass corresponding to the current actual vehicle based on a full-load total mass corresponding to the current actual vehicle and the whole vehicle unsprung mass;
and the construction module 32 is used for constructing a corresponding frame quality evaluation coefficient based on the actual mass of the frame, the bending stiffness, the torsional stiffness and the whole sprung mass, and judging the height of the frame quality attribute according to the frame quality evaluation coefficient.
In the vehicle frame quality attribute quantifying system, the obtaining module 12 is specifically configured to:
acquiring the size parameters of the frame in the actual vehicle at present, and constructing a one-to-one three-dimensional frame model in a preset program according to the size parameters;
and giving corresponding material density to the three-dimensional frame model, and calculating the model mass corresponding to the three-dimensional frame model according to the dimension parameters and the material density so as to set the model mass as the actual mass of the frame.
In the above vehicle frame quality attribute quantifying system, the calculating module 22 is specifically configured to:
arranging the frame on a preset test bed, and arranging servo motors at the center positions of two sides of the frame respectively so as to apply gradually increased loads to the centers of the two sides of the frame through the servo motors, wherein the loads have maximum values;
respectively acquiring displacement amounts generated at the center positions of two sides of the frame through a preset displacement sensor, and calculating the bending rigidity corresponding to the frame according to a preset formula based on the load and the displacement amounts, wherein the expression of the preset formula is as follows:
B k =F/Z
wherein, B k Represents the bending stiffness, F represents the load, and Z represents the displacement amount.
In the vehicle frame quality attribute quantifying system, the vehicle frame quality attribute quantifying system further includes a judging module 42, and the judging module 42 is specifically configured to:
generating a corresponding judgment report according to the judgment result of the frame quality attribute, and judging whether the judgment report meets the preset delivery requirement;
and if the judgment report meets the delivery requirements, packaging the current frame.
In the vehicle frame quality attribute quantification system, the expression of the vehicle frame quality evaluation coefficient is as follows:
wherein, C m Representing said vehicle frame quality evaluation coefficient, M f Representing the actual mass, T, of the vehicle frame k Representing the torsional stiffness, B k Denotes the bending stiffness, M A Representing the sprung mass of the entire vehicle.
In summary, the method and the system for quantifying the quality attribute of the vehicle frame provided by the embodiments of the present invention can convert the original subjective evaluation by the staff into the objective evaluation determined by the quality evaluation coefficient of the vehicle frame, thereby greatly improving the accuracy of the evaluation of the quality attribute of the vehicle frame, and simultaneously achieving the purpose of comprehensive and scientific comparison of the performances of different vehicle frames, effectively improving the development efficiency of the product, and being suitable for wide popularization and use.
It should be noted that the above modules may be functional modules or program modules, and may be implemented by software or hardware. For a module implemented by hardware, the above modules may be located in the same processor; or the modules can be respectively positioned in different processors in any combination.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description of the specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (6)
1. A vehicle frame quality attribute quantification method is characterized by comprising the following steps:
acquiring the actual mass of a frame in a current actual vehicle, and respectively calculating the bending stiffness and the torsional stiffness corresponding to the frame based on a preset algorithm;
acquiring the unsprung mass of the whole vehicle corresponding to the current actual vehicle according to the actual mass of the frame, and calculating the sprung mass of the whole vehicle corresponding to the current actual vehicle based on the total full-load mass corresponding to the current actual vehicle and the unsprung mass of the whole vehicle;
constructing a corresponding frame quality evaluation coefficient based on the actual mass of the frame, the bending rigidity, the torsional rigidity and the sprung mass of the whole frame, and judging the quality attribute of the frame according to the frame quality evaluation coefficient;
the step of calculating the bending stiffness corresponding to the frame based on a preset algorithm comprises the following steps:
arranging the frame on a preset test bed, and arranging servo motors at the center positions of two sides of the frame respectively so as to apply gradually increased loads to the centers of the two sides of the frame through the servo motors, wherein the loads have maximum values;
respectively acquiring displacement amounts generated at the center positions of two sides of the frame through a preset displacement sensor, and calculating the bending rigidity corresponding to the frame according to a preset formula based on the load and the displacement amounts, wherein the expression of the preset formula is as follows:
B k =F/Z
wherein, B k Represents the bending stiffness, F represents the load, and Z represents the displacement amount;
the expression of the frame quality evaluation coefficient is as follows:
wherein, C m Representing said vehicle frame quality evaluation coefficient, M f Representing the actual mass, T, of the vehicle frame k Representing the torsional stiffness, B k Representing said bending stiffness, M A Representing the sprung mass of the entire vehicle.
2. The vehicle frame quality attribute quantification method of claim 1, wherein: the step of obtaining the actual mass of the frame in the current actual vehicle comprises:
acquiring the size parameters of the frame in the actual vehicle at present, and constructing a one-to-one three-dimensional frame model in a preset program according to the size parameters;
and endowing the three-dimensional frame model with corresponding material density, and calculating the model mass corresponding to the three-dimensional frame model according to the dimensional parameters and the material density so as to set the model mass as the actual mass of the frame.
3. The vehicle frame quality attribute quantification method of claim 1, wherein: after the step of judging the height of the frame quality attribute according to the frame quality evaluation coefficient, the method further comprises the following steps:
generating a corresponding judgment report according to the judgment result of the frame quality attribute, and judging whether the judgment report meets the preset delivery requirement;
and if the judgment report meets the delivery requirements, packaging the current frame.
4. A vehicle frame mass attribute quantification system, the system comprising:
the acquisition module is used for acquiring the actual mass of a frame in the current actual vehicle and respectively calculating the bending rigidity and the torsional rigidity corresponding to the frame based on a preset algorithm;
the calculating module is used for acquiring the whole vehicle unsprung mass corresponding to the current actual vehicle according to the actual mass of the frame, and calculating the whole vehicle sprung mass corresponding to the current actual vehicle based on the current full-load total mass corresponding to the actual vehicle and the whole vehicle unsprung mass;
the construction module is used for constructing a corresponding frame quality evaluation coefficient based on the actual mass of the frame, the bending stiffness, the torsional stiffness and the whole sprung mass, and judging the quality of the frame according to the frame quality evaluation coefficient;
the calculation module is specifically configured to:
arranging the frame on a preset test bed, and arranging servo motors at the center positions of two sides of the frame respectively so as to apply gradually increased loads to the centers of the two sides of the frame through the servo motors, wherein the loads have maximum values;
respectively acquiring displacement amounts generated at the center positions of two sides of the frame through a preset displacement sensor, and calculating the bending rigidity corresponding to the frame according to a preset formula based on the load and the displacement amounts, wherein the expression of the preset formula is as follows:
B k =F/Z
wherein, B k Represents the bending stiffness, F represents the load, and Z represents the displacement amount;
the expression of the frame quality evaluation coefficient is as follows:
wherein, C m Representing said vehicle frame quality evaluation coefficient, M f Representing the actual mass, T, of the vehicle frame k Representing the torsional stiffness, B k Representing said bending stiffness, M A Representing the sprung mass of the entire vehicle.
5. The vehicle frame mass attribute quantification system of claim 4, wherein: the acquisition module is specifically configured to:
obtaining the size parameters of the frame in the actual vehicle at present, and constructing a one-to-one three-dimensional frame model in a preset program according to the size parameters;
and giving corresponding material density to the three-dimensional frame model, and calculating the model mass corresponding to the three-dimensional frame model according to the dimension parameters and the material density so as to set the model mass as the actual mass of the frame.
6. The vehicle frame mass attribute quantification system of claim 4, wherein: the vehicle frame quality attribute quantification system further comprises a judgment module, and the judgment module is specifically used for:
generating a corresponding judgment report according to the judgment result of the frame quality attribute, and judging whether the judgment report meets the preset delivery requirement;
and if the judgment report meets the delivery requirements, packaging the current frame.
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| CN102079334A (en) * | 2010-12-21 | 2011-06-01 | 江铃汽车股份有限公司 | Splitting frame longitudinal beam |
| JP2019194747A (en) * | 2018-05-01 | 2019-11-07 | 公益財団法人鉄道総合技術研究所 | Torsional vibration evaluation method for railway double track girder |
| CN213384445U (en) * | 2020-07-02 | 2021-06-08 | 湖北华越汽车零部件有限公司 | Cargo vehicle frame with shockproof dynamic function |
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| CN102079334A (en) * | 2010-12-21 | 2011-06-01 | 江铃汽车股份有限公司 | Splitting frame longitudinal beam |
| JP2019194747A (en) * | 2018-05-01 | 2019-11-07 | 公益財団法人鉄道総合技術研究所 | Torsional vibration evaluation method for railway double track girder |
| CN213384445U (en) * | 2020-07-02 | 2021-06-08 | 湖北华越汽车零部件有限公司 | Cargo vehicle frame with shockproof dynamic function |
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