Supercharge Your Innovation With Domain-Expert AI Agents!

Vehicle door sealing strip friction abnormal sound prediction analysis method, storage medium, equipment and device

A technology for predictive analysis and sealing strips, which is applied to measuring devices, analyzing materials, using mechanical devices, etc., can solve problems such as poor improvement effect, inability to predict and analyze the risk of friction and abnormal noise of sealing strips, and short effective time, and achieve the predicted results. Effective and achieve the effect of effective abnormal noise risk assessment

Pending Publication Date: 2022-07-29
CHINA FIRST AUTOMOBILE
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The abnormal noise of the door sealing strip is a high-occurrence problem among various abnormal noise problems in automobiles. Once it occurs, it is difficult to solve it later. The abnormal noise problem is mainly reduced by optimizing the surface friction characteristics of the sealing strip. The effective time is short and the improvement effect is not good. Good, but more expensive
At present, there is a lack of predictive analysis methods in the industry for the abnormal noise of the door seal. The existing technology is mainly to test the abnormal noise of the seal to judge the friction characteristics of the seal. Prediction and analysis of the risk of abnormal noise caused by strip friction
[0004] The existing patent CN112748065A describes a test method for the abnormal friction and noise characteristics of sealing strips, which mainly restricts the test method for the abnormal friction and noise characteristics of sealing strips and painted sheet metal, including the surface treatment of the test piece, the clamping of the test piece, The type of excitation signal, the test environment, the test process, etc., but this technology cannot fully and effectively simulate the characteristics of abnormal friction and noise under the actual vibration of the vehicle body, and cannot evaluate the influence of the body structure on the abnormal friction and noise of the door seal
[0005] Another example is patent CN110263414, which describes a method for identifying dangerous points of abnormal friction and noise in automotive interior parts. This technology uses simulation analysis methods to calculate the excitation response of the interior system, and then combines the friction characteristics of interior parts with the displacement conditions that cause stick-slip. For comparison, identify the dangerous points of abnormal friction noise of the interior system. In this method, the friction characteristic test for interior parts cannot effectively simulate the stiffness characteristics of the system, so the stick-slip displacement conditions obtained are inconsistent with the real system. There is a certain error in the approximate equivalent of the method. In addition, there are obvious differences between the modeling method of the interior parts and the modeling method of the body sealing strip system, so it cannot accurately adapt to the risk prediction analysis of the friction and noise of the sealing strip.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vehicle door sealing strip friction abnormal sound prediction analysis method, storage medium, equipment and device
  • Vehicle door sealing strip friction abnormal sound prediction analysis method, storage medium, equipment and device
  • Vehicle door sealing strip friction abnormal sound prediction analysis method, storage medium, equipment and device

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0042] The present invention provides a method, storage medium, equipment and device for predicting and analyzing the abnormal noise of friction of a door sealing strip, so as to solve the problems existing in the prior art.

[0043] refer to figure 1 As shown, a method for predicting and analyzing the abnormal noise of friction of a door seal, the method for predicting and analyzing the abnormal noise of friction of a door seal includes the following steps:

[0044] S100. Carry out the friction characteristic test of the door sealing strip, and obtain the stick-slip slip displacement during the friction test between the door sealing strip and the painted sheet metal;

[0045] S200, performing an excitation response analysis of the body system, and calculating the relative displacement between the door and the body under excitation conditions;

[0046] S300, according to the relative displacement of the door and the body under excitation conditions and the stick-slip slip dis...

specific Embodiment 2

[0048] Further, in S100, the following steps are specifically included:

[0049] Step S110, obtaining the compression amount, compression load and stiffness information of the vehicle door sealing strip in the closed state of the vehicle door;

[0050] Step S120, prepare the test piece: the test piece includes a door sealing strip and a painted sheet metal test piece, wherein the door sealing strip is obtained by intercepting a complete door sealing strip; The surface needs to be treated to be the same as the paint finish of the whole vehicle;

[0051] Step S130, carry out the clamping and friction characteristic test of the test piece: the door sealing strip and the painted sheet metal test piece are respectively fixed on the material friction test system with clamps to ensure the contact area between the door sealing strip and the painted sheet metal test piece Matching, and the compression amount of the door seal is the same as when the door is closed; select N sliding spe...

specific Embodiment 3

[0053] Further, in S120, specifically, the cut length of the door sealing strip is 5cm, and the surface is required to be clean and free from damage; the size of the painted sheet metal test piece is 5cm*3cm. In this embodiment, in S130, two sliding speeds are selected during the test, 1 mm / s and 3 mm / s respectively, refer to figure 2 As shown, at a speed of 1 m / s, the slip displacement when stick-slip friction occurs is 0.16 mm.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a vehicle door sealing strip friction abnormal sound prediction analysis method, equipment and device, and a storage medium, and belongs to the technical field of automobile manufacturing. Comprising the following steps: S100, carrying out a friction characteristic test on the vehicle door sealing strip, and obtaining a stick-slip slippage displacement generated in the friction test process of the vehicle door sealing strip and a paint surface metal plate; s200, vehicle body system excitation response analysis is carried out, and the relative displacement of the vehicle door and the vehicle body under the excitation condition is calculated; and S300, according to the relative displacement of the vehicle door and the vehicle body under the excitation condition and the sliding displacement of stick-slip in the friction test process of the vehicle door sealing strip and the painted metal plate, carrying out risk assessment on the abnormal sound caused by friction of the vehicle door sealing strip. According to the method, the influence of comprehensive factors such as the sealing strip friction characteristic and the vehicle body structure characteristic on the vehicle door sealing strip friction abnormal sound is considered, the vehicle body structure characteristic and the sealing strip friction characteristic are obtained through simulation analysis and experimental testing, and abnormal sound risk prediction and evaluation of the sealing strip in the specific vehicle body installation state can be achieved.

Description

technical field [0001] The invention relates to a method, a storage medium, equipment and a device for predicting and analyzing the abnormal noise of friction of a door sealing strip, and belongs to the technical field of automobile manufacturing. Background technique [0002] At present, there is no method for predicting and analyzing the abnormal noise of the door seal under the condition of the body system, and it is impossible to evaluate the influence of the body structure on the friction and noise of the door seal, mainly for the test of the friction characteristics of the seal. Analysis, isolated analysis of the possibility of abnormal friction of the sealing strip, the present invention combines the friction characteristics of the sealing strip, uses the simulation analysis method to analyze and calculate the body system, identifies the risk of abnormal friction and noise of the sealing strip, and can effectively avoid the abnormal friction of the sealing strip. ques...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/23G06F30/15G01N19/02G06F119/14G06F119/10G06F111/04
CPCG06F30/23G06F30/15G01N19/02G06F2119/14G06F2119/10G06F2111/04
Inventor 张坤超刘祖斌邓建交曹春雨刘振宏
Owner CHINA FIRST AUTOMOBILE
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More