CN113361815A - Abnormal sound risk prediction method and device for vehicle sealing rubber strip - Google Patents
Abnormal sound risk prediction method and device for vehicle sealing rubber strip Download PDFInfo
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- 238000007789 sealing Methods 0.000 title claims abstract description 83
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- 230000001052 transient effect Effects 0.000 claims abstract description 25
- 239000000463 material Substances 0.000 claims abstract description 14
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Abstract
The invention relates to the technical field of vehicle component analysis, and particularly discloses an abnormal sound risk prediction method and device for a vehicle sealing rubber strip, which specifically comprise the following steps: establishing a finite element model, and defining the contact arrangement between a sealing rubber strip and a contact element in the finite element model, the friction coefficient of the movement of the sealing rubber strip on the surface of the contact element and the material property of the sealing rubber strip; monitoring points are arranged on the sealing rubber strips at intervals, and a local coordinate system is established by taking the monitoring points as a reference; applying preset pressure to a sealing rubber strip in the finite element model; setting a transient analysis result as the relative pressure of the monitoring points in the compressing direction in the local coordinate system, obtaining the transient analysis result of each monitoring point on the sealing rubber strip, and comparing and analyzing the transient analysis result of each monitoring point on the sealing rubber strip with a preset evaluation index to obtain a friction abnormal sound risk prediction result. By adopting the technical scheme of the invention, potential risks can be found and eliminated in the early stage of product design, and the problem in the later stage is avoided and then the product is improved.
Description
Technical Field
The invention relates to the technical field of vehicle component analysis, in particular to an abnormal sound risk prediction method and device for a vehicle sealing rubber strip.
Background
People's expectations for automobiles are no longer limited to functional requirements of riding instead of walk, and more tend to be requirements on comfort level of automobiles, and the feeling brought to automobile users by abnormal sounds is most direct and is a comprehensive problem for measuring automobile manufacturing quality and driving comfort level. The abnormal sound of the sealing rubber strip is one of the abnormal sounds, and due to installation or design reasons, the abnormal sound is easily generated due to friction sliding when a vehicle runs on a bad road surface or the sealing strip is in a working state.
At present, joint strip friction abnormal sound risk prediction's common means is that single joint strip is experimental, but single joint strip is experimental not strong to the pertinence, and it is reasonable often to appear single test result scope, just the phenomenon of problem appears after the installation, leads to going again to optimize the improvement to the problem that appears in whole car stage, has not only improved the cost, has still held back the project progress to can only improve for a short time through the coating, can not solve the root of problem. Therefore, the risk position of the sealing rubber strip friction abnormal sound can be accurately evaluated in the early stage and the middle stage of the project, and the method is very important for reducing the cost and accelerating the project progress.
Disclosure of Invention
In order to solve the technical problems that potential risks are found and eliminated in the early stage of product design and the problems are avoided and then improved in the later stage, the invention provides the abnormal sound risk prediction method and the abnormal sound risk prediction device for the vehicle sealing rubber strip.
The basic scheme of the invention is as follows:
the abnormal sound risk prediction method and device for the vehicle sealing rubber strip sequentially comprise the following steps:
s1, constructing a finite element model, and defining the contact arrangement between the sealing strip and the contact element in the finite element model, the friction coefficient of the movement of the sealing rubber strip on the surface of the contact element and the material property of the sealing rubber strip;
s2, arranging monitoring points on the sealing rubber strip at intervals, and establishing a local coordinate system by taking the monitoring points as a reference;
s3, applying preset pressure to the sealing rubber strip in the finite element model;
s4, setting the transient analysis result as the relative pressure of the monitoring points in the compressing direction in the local coordinate system, obtaining the transient analysis result of each monitoring point on the sealing rubber strip, and comparing and analyzing the transient analysis result of each monitoring point on the sealing rubber strip with a preset evaluation index to obtain a friction abnormal sound risk prediction result.
The working principle and the advantages of the scheme are as follows: and constructing a finite element model, and simulating the sealing rubber strip in a real state by defining the contact arrangement between the sealing rubber strip and the contact element in the finite element model, the friction coefficient of the movement of the sealing rubber strip on the surface of the contact element and the material property of the sealing rubber strip. Then, monitoring points are set on the sealing rubber strip, and a local coordinate system is established for each monitoring point on the sealing rubber strip, so that the size and the direction of the detection parameters can be conveniently determined. And then applying preset pressure to the sealing rubber strip in the finite element model to enable the state of the analysis model to be close to the actual state as much as possible. And finally, carrying out transient analysis to obtain the relative pressure of each monitoring point in the compression direction in the local coordinate system, and then carrying out comparative analysis on the relative pressure and a preset evaluation index to obtain a friction abnormal sound risk prediction result.
1. The contact property of the sealing rubber strip in a real state is simulated to the maximum extent through the contact arrangement between the sealing rubber strip and the contact element in the finite element model, the friction coefficient of the surface motion of the sealing rubber strip and the contact element and the material property of the sealing rubber strip.
2. The manual adjustment of monitoring point in this scheme is convenient for detect the friction risk prediction condition of each position of joint strip, can go up the more accurate prediction of friction risk prediction risk result of monitoring point on the joint strip and go out the position that joint strip probably takes place the friction abnormal sound risk to can discover potential risk and get rid of in product design earlier stage, improve again after avoiding the later stage to go wrong, increase improvement cost.
Further, the transient analysis result also comprises the relative acceleration of the monitoring points in the movement direction in the local coordinate system, and the relative pressure and the relative acceleration of each monitoring point are compared with preset evaluation indexes to obtain a friction abnormal sound risk prediction result.
Has the advantages that: the relative displacement of the monitoring point in the designated direction is increased, and the friction abnormal sound risk prediction performed through relative acceleration is more instructive to the actual engineering.
Further, in step S4, the relative acceleration of each monitoring point is preferentially compared with a preset evaluation index, and when the friction abnormal sound risk is obtained through analysis, the relative pressure of the monitoring point is compared with the preset evaluation index, so as to obtain a friction abnormal sound risk prediction result.
Has the advantages that: the risk prediction method can reduce the risk prediction steps under the condition that the abnormal sound risk exists, and improve the abnormal sound risk prediction efficiency.
Further, the risk evaluation indexes are relative acceleration and relative pressure when the positions of the sealing rubber strips are subjected to the critical condition of friction abnormal sound.
Has the advantages that: and the actual test ensures the accuracy of the comparative analysis result.
Further, the material properties include modulus of elasticity, density, stiffness, and damping.
Has the advantages that: the simulated sealing rubber strip is closer to the actual sealing rubber strip, so that the subsequent prediction analysis is more accurate.
Further, the adjustment range of the spacing distance is 10mm to 30 mm.
Has the advantages that: the predicted friction abnormal sound risk position is more accurate.
A abnormal sound risk prediction device for vehicle joint strip, its characterized in that: the method comprises the following steps:
the modeling unit is used for constructing a finite element model, defining contact arrangement between the sealing rubber strip and the contact element in the finite element model, and setting the friction coefficient of the sealing rubber strip moving on the surface of the contact element and the material property of the sealing rubber strip;
the simulation unit is used for setting monitoring points on the sealing rubber strip at intervals, establishing a local coordinate system by taking the monitoring points as a reference, and applying preset pressure to the sealing rubber strip in the finite element model;
the transient analysis unit is used for transiently analyzing the relative pressure of the monitoring point in the compressing direction and the relative acceleration of the monitoring point in the moving direction in the local coordinate system;
and the prediction unit is used for comparing and analyzing the transient analysis result of each monitoring point on the sealing rubber strip with a preset evaluation index to obtain a friction abnormal sound risk prediction result.
Has the advantages that: through this scheme, can be through the more accurate position of predicting the abnormal sound risk that probably takes place friction of joint strip through the friction risk prediction risk result of monitoring point on the joint strip to can discover potential risk and get rid of in product design earlier stage, improve again after avoiding the later stage to go wrong, increase improvement cost.
Drawings
FIG. 1 is a flow chart of an embodiment of a method and apparatus for predicting the risk of abnormal sound of a vehicle joint strip;
fig. 2 is a flowchart of an embodiment of a method and a device for predicting the abnormal sound risk of a vehicle joint strip.
Detailed Description
The following is further detailed by way of specific embodiments:
examples
The abnormal sound risk prediction method for the vehicle sealing rubber strip, as shown in fig. 1, sequentially comprises the following steps:
s1, constructing a finite element model, defining the contact arrangement between the sealing rubber strip and the contact element in the finite element model, defining the friction coefficient of the sealing rubber strip moving on the surface of the contact element and the material properties of the sealing rubber strip, wherein the material properties comprise elastic modulus, density, rigidity and damping, the friction coefficient in the embodiment can be measured, and the method for measuring the friction coefficient of the material disclosed in the patent document with the patent publication number of CN106841029B refers to the prior art, and is not repeated herein.
And S2, setting monitoring points on the sealing rubber strip at intervals, establishing a local coordinate system by taking the monitoring points as a reference, and adjusting the intervals within the range of 10mm to 30 mm.
S3, applying preset pressure to the sealing rubber strip in the finite element model, wherein the preset pressure comes from a supplier, for example, the sealing rubber strip is a wiper rubber strip, the preset pressure is applied to the wiper rubber strip, the state that a wiper motor drives a wiper rod to drive a wiper blade to run on glass is simulated, and the force of the wiper motor driving the wiper rod to move can be acquired by the motor supplier.
S4, setting the transient analysis result as the relative pressure of the monitoring points in the compressing direction in the local coordinate system, obtaining the transient analysis result of each monitoring point on the sealing rubber strip, and comparing and analyzing the transient analysis result of each monitoring point on the sealing rubber strip with a preset evaluation index to obtain a friction abnormal sound risk prediction result, wherein the compressing direction is the compressing direction of the sealing strip.
As shown in fig. 2, the transient analysis result in step S4 further includes the relative displacement of the monitoring points in the local coordinate system in the moving direction, and the relative pressure and the relative acceleration of each monitoring point are compared with the preset evaluation index for analysis, so as to obtain the friction abnormal sound risk prediction result. And in step S4, the relative acceleration of each monitoring point is preferentially compared with a preset evaluation index for analysis, and when the friction abnormal sound risk is obtained through analysis, the relative pressure of the monitoring point is compared with the preset evaluation index for analysis, so as to finally obtain a friction abnormal sound risk prediction result. The risk evaluation indexes are relative acceleration and relative pressure when the positions of the sealing rubber strip are subjected to a friction abnormal sound critical condition, wherein the movement direction is the movement direction of the sealing rubber strip on the surface of the contact element. The test process of the preset evaluation index is as follows: the temperature and the humidity of the test are adjusted through the environment box device, so that the actual use environment of the sealing rubber strip is simulated, and the result measured by the test is more accurate. And a sound sensor and a microphone are arranged in the environment box and used for monitoring sound and determining whether abnormal sound occurs. Then, fixing the contact element on a motion platform, wherein force sensors are arranged at two ends of the motion platform and used for detecting preset pressure applied to the sealing rubber strip; the sealing rubber strip is fixed at the tail end of the pressing rod, a pressure sensor is arranged at the upper end of the pressing rod, an acceleration sensor is arranged at the position, contacted with the sealing rubber strip, of the tail end of the pressing rod, the pressing rod presses the sealing rubber strip to a contact piece on the motion platform, the contact piece is compressed tightly, and the pressure of the pressing rod is adjusted. Then the motion platform makes reciprocating linear motion to simulate the motion process of the sealing rubber strip when the sealing rubber strip is subjected to preset pressure. The occurrence of abnormal sound is monitored through the microphone, and when the abnormal sound is heard, the numerical values of the acceleration sensor and the pressure sensor at the moment are read, namely the evaluation index when the pressure is preset. In the present example, the evaluation index was specifically tested by using a bench excitation axis centering device disclosed in patent publication No. CN 110017945A.
A abnormal sound risk prediction device for vehicle joint strip, its characterized in that: the method comprises the following steps:
the modeling unit is used for constructing a finite element model, defining contact arrangement between the sealing rubber strip and the contact element in the finite element model, and setting the friction coefficient of the sealing rubber strip moving on the surface of the contact element and the material property of the sealing rubber strip;
the simulation unit is used for setting monitoring points on the sealing rubber strip at intervals, establishing a local coordinate system by taking the monitoring points as a reference, and applying preset pressure to the sealing rubber strip in the finite element model;
the transient analysis unit is used for transiently analyzing the relative pressure of the monitoring point in the compressing direction and the relative acceleration of the monitoring point in the moving direction in the local coordinate system;
and the prediction unit is used for comparing and analyzing the transient analysis result of each monitoring point on the sealing rubber strip with a preset evaluation index to obtain a friction abnormal sound risk prediction result.
The specific implementation process comprises the following steps: it is the windscreen wiper adhesive tape to be detected joint strip, then the contact piece is preceding windshield, and the contact surface of windscreen wiper adhesive tape and preceding windshield is the XY plane of local coordinate system, and the direction that compresses tightly of windscreen wiper adhesive tape is Z axle direction in the local coordinate system, and the assumed direction is local coordinate system X axle direction, and then a position of windscreen wiper adhesive tape is in the evaluation index: the relative acceleration in the X-axis direction is 0.2mm/s2, the relative pressure in the Z-axis direction is 0.4N, and the preset pressure is 5N.
Establishing a finite element model of a wiper rubber strip and a front windshield by using ABAQUS nonlinear finite element analysis software, and defining the contact arrangement between the wiper rubber strip and the front windshield in the finite element model, the friction coefficient of the movement of the wiper rubber strip on the surface of the front windshield and the material property of the wiper rubber strip; monitoring points are arranged on the wiper rubber strip at an interval distance of 15mm, a local coordinate system is established for each monitoring point, the Z axis of the local coordinate system is the pressing direction of the wiper rubber strip, and the XY plane of the local coordinate system is the contact surface of the wiper rubber strip and the front windshield. And applying 5N preset pressure to the wiper rubber strip in the finite element model. Setting transient analysis results as the relative acceleration of the monitoring points in the X-axis direction and the relative pressure of the monitoring points in the Z-axis direction in a local coordinate system, and obtaining the transient analysis result of each monitoring point, wherein the transient analysis result of the monitoring point located at the first position of the wiper rubber strip in the finite element model is that the relative acceleration is 0.3mm/s2, and the relative pressure is 0.5N. Firstly, the relative acceleration of a monitoring point at the first position of the wiper rubber strip in the X-axis direction is 0.3mm/s2, and the relative acceleration of the first position of the wiper rubber strip in the preset evaluation index in the X-axis direction is 0.2mm/s2, and as 0.3mm/s2 is larger than 0.2mm/s2, namely when the friction abnormal sound risk prediction result is that the friction abnormal sound risk exists. Then, the relative pressure of the monitoring point located at the first position of the wiper rubber strip in the Z-axis direction is 0.5N, and the relative acceleration of the first position of the wiper rubber strip in the preset evaluation index in the Z-axis direction is 0.4N, and the 0.5N is larger than 0.4N, so that the friction abnormal sound risk prediction result is that the friction abnormal sound risk exists, namely the friction abnormal sound risk exists at the monitoring point located at the first position of the wiper rubber strip in the finite element model.
This scheme not only is applicable to the windscreen wiper adhesive tape, also is applicable to door window department joint strip and door department joint strip's friction abnormal sound risk prediction.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (7)
1. The abnormal sound risk prediction method for the vehicle sealing rubber strip is characterized by sequentially comprising the following steps of:
s1, constructing a finite element model, and defining the contact arrangement between the sealing rubber strip and the contact element in the finite element model, the friction coefficient of the movement of the sealing rubber strip on the surface of the contact element and the material property of the sealing rubber strip;
s2, arranging monitoring points on the sealing rubber strip at intervals, and establishing a local coordinate system by taking the monitoring points as a reference;
s3, applying preset pressure to the sealing rubber strip in the finite element model;
s4, setting the transient analysis result as the relative pressure of the monitoring points in the compressing direction in the local coordinate system, obtaining the transient analysis result of each monitoring point on the sealing rubber strip, and comparing and analyzing the transient analysis result of each monitoring point on the sealing rubber strip with a preset evaluation index to obtain a friction abnormal sound risk prediction result.
2. The abnormal sound risk prediction method for the vehicle joint strip according to claim 1, wherein: and the transient analysis result also comprises the relative acceleration of the monitoring points in the movement direction in the local coordinate system, and the relative acceleration and the relative pressure of each monitoring point are compared with preset evaluation indexes to obtain a friction abnormal sound risk prediction result.
3. The abnormal sound risk prediction method for the vehicle joint strip according to claim 2, wherein: in step S4, the relative acceleration of each monitoring point is preferentially compared with a preset evaluation index, and when the friction abnormal sound risk is obtained through analysis, the relative pressure of the monitoring point is compared with the preset evaluation index, so as to obtain a friction abnormal sound risk prediction result.
4. The abnormal sound risk prediction method for the vehicle joint strip according to claim 1, wherein: the risk evaluation indexes are relative acceleration and relative pressure when the critical condition of friction abnormal sound occurs at each position of the sealing rubber strip.
5. The abnormal sound risk prediction method for the vehicle joint strip according to claim 1, wherein: material properties include modulus of elasticity, density, stiffness, and damping.
6. The abnormal sound risk prediction method for the vehicle joint strip according to claim 1, wherein: the adjustment range of the spacing distance is 10mm to 20 mm.
7. A abnormal sound risk prediction device for vehicle joint strip, its characterized in that: the method comprises the following steps:
the modeling unit is used for constructing a finite element model, defining contact arrangement between the sealing rubber strip and the contact element in the finite element model, and setting the friction coefficient of the sealing rubber strip moving on the surface of the contact element and the material property of the sealing rubber strip;
the simulation unit is used for setting monitoring points on the sealing rubber strip at intervals, establishing a local coordinate system by taking the monitoring points as a reference, and applying preset pressure to the sealing rubber strip in the finite element model;
the transient analysis unit is used for transiently analyzing the relative pressure of the monitoring point in the compressing direction and the relative acceleration of the monitoring point in the moving direction in the local coordinate system;
and the prediction unit is used for comparing and analyzing the transient analysis result of each monitoring point on the sealing rubber strip with a preset evaluation index to obtain a friction abnormal sound risk prediction result.
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- 2021-07-05 CN CN202110758401.3A patent/CN113361815A/en active Pending
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