摘要
针对如何以一组加速贮存试验实现整机寿命快速评价的问题,采用由底层数据向上层结构综合以及逆向设计的思想。基于应力分析的加速因子建模方法,以元器件的失效率为基础,结合以温度作为恒定加速变量的阿伦尼斯模型,计算整机在加速贮存试验应力为80℃下相对于自然贮存应力25℃下的加速因子,从而建立整机在加速贮存试验状态80℃下的寿命消耗与自然贮存状态25℃下的寿命消耗之间的等效折算关系。根据整机15年贮存历史获得整机在加速贮存试验应力为80℃下达到等效贮存至期望目标年限17年对应的试验时间为56 d,即以56 d的加速贮存试验等效2年自然贮存,掌握整机在一般贮存条件下的质量变化规律,评价其贮存寿命,确保整机在延长贮存期内满足可靠性与安全性的要求。
To address the issue of how to achieve rapid evaluation of the entire machine’s lifespan through a set of accelerated storage tests,the idea of integrating bottom level data to upper-level structure and reverse design method is adopted.The acceleration factor modeling method based on stress analysis is adopted,which is based on the failure rate of components and combined with the Arrhenius model with temperature as a constant acceleration variable,calculating the acceleration factor of the entire machine under the accelerated storage test stress of eighty centigrade relative to the actual storage stress of twenty-five centigrade,and establish an equivalent conversion relationship between the life consumption of the entire machine under the accelerated storage test state of eighty centigrade and the life consumption under the natural storage state of twenty-five centigrade.Based on the fifteen year storage history of the entire machine,the corresponding test time from the accelerated storage test stress of eighty centigrade to the equivalent storage to the expected target life of seventeen years is fifty-six days,By conducting a fifty-six day accelerated storage test equivalent to two years of natural storage,we aim to understand the quality changes of the entire machine under general storage conditions,evaluate its storage life,and ensure that the machine meets the required reliability and safety during the extended storage period.
作者
段飞飞
苏振李
王田宇
温业堃
DUAN Feifei;SU Zhenli;WANG Tianyu;WEN Yekun(State-run Changhong Machinery Plant,Guilin 541003,Guangxi,China)
出处
《中国工程机械学报》
北大核心
2024年第4期556-560,共5页
Chinese Journal of Construction Machinery
关键词
阿伦尼斯
加速因子
寿命评价
Arrhenius
acceleration factor
life assessment