汽车通风盖板发白现象的大数据分析

目的以某型汽车自然曝露试验过程中通风盖板老化发白现象为例,研究建立影响汽车零部件自然老化的主要环境因素综合作用计算模型。方法以试验大数据库为基础,利用互信息理论分析方法,确定影响汽车通风盖板发白的主要环境因素,并推导主要环境因素综合作用计算模型。结果基于不同地区试验过程中每5 min记录1次的汽车通风盖板表面太阳辐照量和温度数据,精确计算了通风盖板出现发白现象的环境综合作用值。计算结果表明,当光热等效辐照值大于1882.8 J/cm^(2)时,该通风盖板就会出现发白现象。结论依据汽车外饰塑料件在典型地区的自然暴露试验结果,通过该模型可以预估其他地区的服役寿命。

Big Data Analysis of Whitening of Automobile Ventilation Cover

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.