文章摘要
轮胎动态接地压力分布的光吸收法测量研究
Study on Measurement of Dynamic Contact Pressure Distribution of Tire by Optical Absorption Method
投稿时间:2021-07-22  修订日期:2021-07-22
DOI:10.12136/j.issn.1000-890X.2022.10.0723
中文关键词: 轮胎  动态接地压力分布  接地印痕  光吸收法  试验台架  图像处理
英文关键词: tire  dynamic contact pressure distribution  contact footprint  optical absorption method  test bench  image processing
基金项目:国家自然科学基金资助项目(51675240)
作者单位E-mail
柏 林 上海大学 lark2020@shu.edu.cn 
梁 晨* 江苏大学 liangchen@ujs.edu.cn 
朱大钎 江苏大学  
王国林 江苏大学  
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中文摘要:
      设计光吸收法试验台架,通过图像处理算法及对负荷、充气压力、外倾角、侧偏角的控制,获得轮胎动态接地压力分布。图像处理算法如下:拍摄轮胎接地印痕图像,通过图像矫正、灰度化、滤波去噪及图像分割获取图像中轮胎与路面接触区域,再通过校准机构获取图像灰度与轮胎接地压力的相关性,将轮胎接地印痕图像转化为接地压力分布图。以规格为205/55R16的非对称花纹子午线轮胎为例,利用试验台架对轮胎动态接地印痕进行测量,获取不同工况下轮胎接地压力分布及接地印痕特征值,轮胎计算负荷相对误差绝对值基本小于10%,验证了光学试验台架的有效性。
英文摘要:
      The test bench for the ground contact footprint image of the tire using optical absorption method was designed,and the dynamic contact pressure distribution of the tire was obtained through image processing algorithm under the control of inflation pressure,load,camber angle and slip angle.The image processing algorithm was as follows:firstly the contact footprint image of the tire was taken,then the contact area between the tire and the road surface in the image was obtained through image correction,gray-scaling, filtering, denoising and image segmentation,the correlation between the image gray scale and the contact pressure of the tire was established through the calibration mechanism,and the contact footprint image was converted into the contact pressure distribution image of the tire.Taking an asymmetric pattern radial tire with a specification of 205/55R16 as an example,the dynamic contact footprint of the tire was tested on the test bench,and the contact pressure distribution and contact footprint characteristic value of the tire under different working conditions were obtained.The absolute values of relative errors of the calculated load of the tire were basically less than 10%,which verified the effectiveness of the optical test bench.
Author NameAffiliationE-mail
BAI Lin Shanghai University lark2020@shu.edu.cn 
LIANG Chen Jiangsu University liangchen@ujs.edu.cn 
ZHU Daqian Jiangsu University  
WANG Guolin Jiangsu University  
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