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新型扭簧电连接器的确信可靠性正向设计优化
引用本文:康锐,刘浩然,张清源,余丽,翟国富.新型扭簧电连接器的确信可靠性正向设计优化[J].北京航空航天大学学报,2022,48(9):1745-1756.
作者姓名:康锐  刘浩然  张清源  余丽  翟国富
作者单位:1.北京航空航天大学 可靠性与系统工程学院,北京 100083
基金项目:国家自然科学基金62073009可靠性与环境工程技术重点实验室基金6142004210401
摘    要:新产品正向设计需综合考虑新结构工艺、多设计变量、复杂工作环境的影响,并合理量化不确定性影响,评估可靠性水平,从而在源头上确保高可靠性。基于确信可靠性理论,研究了基于性能裕量的确信可靠性正向设计优化方法。提出了面向新型扭簧电连接器研发的确信可靠性正向设计优化基本流程,包括设计变量初值优选、性能裕量建模、不确定性量化和确信可靠性分析与优化4部分。以某新型扭簧电连接器的正向设计为例,基于正交实验、响应面建模和模拟退火启发式优化等方法实现了多维离散-连续变量及其不确定性作用下的优化设计。 

关 键 词:确信可靠性    性能裕量    正向设计优化    实验设计    多维离散-连续变量
收稿时间:2022-05-06

Function oriented belief reliability design and optimization of new torsion spring electrical connectors
Institution:1.School of Reliability and Systems Engineering, Beihang University, Beijing 100083, China2.Science & Technology on Reliability & Environmental Engineering Laboratory, Beijing 100083, China3.School of Aeronautic Science and Engineering, Beihang University, Beijing 100083, China4.School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Abstract:To evaluate reliability of new products, function-oriented design should comprehensively consider the influence of new structure and technology, multiple design variables, and complex working environments, and reasonably quantify uncertainty effects. This will ensure high reliability from the original design. Based on the belief reliability theory, this study investigates a performance margin-based and function-oriented method for belief reliability design and optimization. The basic procedure of the function-oriented reliability design is proposed for the development of new torsion spring electrical connectors, which includes four steps, i.e., initial value selection of design variables, performance margin modeling, uncertainty quantification, and reliability analysis and optimization. This procedure is exemplified in the design and development of a new type of torsion spring electrical connector. The optimal design of multidimensional discrete-continuous variables under the influence of their uncertainties is realized based on orthogonal experiments, response surface modeling, and simulated annealing heuristic optimization. 
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