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| Big Data Analysis of Whitening of Automobile Ventilation Cover |
| Received:May 14, 2021 Revised:June 03, 2021 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2021.10.015 |
| KeyWord:big data analysis natural exposure test of automobiles light-heat aging equivalent radiation |
| Author | Institution |
| ZHANG Xiao-dong |
State Key Laboratory of Environment Adaptability for Industrial Products, Guangdong Key Laboratory of Polymer Materials Environmental Adaptability Evaluation and Detection Technology, China National Electric Apparatus Research Institute Co., Ltd., Guangzhou , China |
| WANG Wei-jian |
R&D Center of Guangzhou Automobile Group Co., Ltd., Guangzhou , China |
| TAO You-ji |
State Key Laboratory of Environment Adaptability for Industrial Products, Guangdong Key Laboratory of Polymer Materials Environmental Adaptability Evaluation and Detection Technology, China National Electric Apparatus Research Institute Co., Ltd., Guangzhou , China |
| ZHANG Zhi-yong |
State Key Laboratory of Environment Adaptability for Industrial Products, Guangdong Key Laboratory of Polymer Materials Environmental Adaptability Evaluation and Detection Technology, China National Electric Apparatus Research Institute Co., Ltd., Guangzhou , China |
| CHEN Xin-xin |
State Key Laboratory of Environment Adaptability for Industrial Products, Guangdong Key Laboratory of Polymer Materials Environmental Adaptability Evaluation and Detection Technology, China National Electric Apparatus Research Institute Co., Ltd., Guangzhou , China |
| LI Huai |
State Key Laboratory of Environment Adaptability for Industrial Products, Guangdong Key Laboratory of Polymer Materials Environmental Adaptability Evaluation and Detection Technology, China National Electric Apparatus Research Institute Co., Ltd., Guangzhou , China |
| QI Li |
State Key Laboratory of Environment Adaptability for Industrial Products, Guangdong Key Laboratory of Polymer Materials Environmental Adaptability Evaluation and Detection Technology, China National Electric Apparatus Research Institute Co., Ltd., Guangzhou , China |
| ZENG Wen-bo |
State Key Laboratory of Environment Adaptability for Industrial Products, Guangdong Key Laboratory of Polymer Materials Environmental Adaptability Evaluation and Detection Technology, China National Electric Apparatus Research Institute Co., Ltd., Guangzhou , China |
| ZENG Bo |
State Key Laboratory of Environment Adaptability for Industrial Products, Guangdong Key Laboratory of Polymer Materials Environmental Adaptability Evaluation and Detection Technology, China National Electric Apparatus Research Institute Co., Ltd., Guangzhou , China |
| ZHAO Xue-ru |
State Key Laboratory of Environment Adaptability for Industrial Products, Guangdong Key Laboratory of Polymer Materials Environmental Adaptability Evaluation and Detection Technology, China National Electric Apparatus Research Institute Co., Ltd., Guangzhou , China |
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| Abstract: |
| Taking the whitening phenomenon for the ventilation panel of some model of automobiles as an example, this paper studied and established the calculation model of comprehensive effects of main environmental factors that affect the natural aging of automobile parts. Based on the experimental database and mutual information theory analysis method, this paper determined the main environmental factors affecting the whitening of automobile ventilation cover, and deduced the comprehensive calculation model of the main environmental factors. Based on the solar radiation and temperature data recorded every 5 min on the surface of the automobile ventilation cover plate in different areas, the environmental comprehensive effect value of the whitening of the ventilation cover was calculated accurately. The calculation results show that when the photothermal equivalent irradiation value is greater than 1882.8 J/cm2, the ventilation cover will whiten. According to the natural exposure test results of automobile exterior plastic parts in typical regions, the service life of other regions can be predicted by this model. |
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