基于遗传算法和.NET平台的锥齿轮传动优化设计系统研究  

Research on Optimal Design System of Bevel Gear Based on Genetic Algorithms and .NET Platform

作　　者：许德帮 徐元浩[1] 迟文俊[1] XU De-bang XU Yuan-hao CHI Wen-jun(School of Engineering and Technology, Southwest University, Chongqing 400715, China)

机构地区：[1]西南大学工程技术学院,重庆400715

出　　处：《西南大学学报（自然科学版）》2017年第2期153-158,共6页Journal of Southwest University(Natural Science Edition)

基　　金：中央高校基本科研业务费专项资金资助(SWU 115036;XDJK2013C109)

摘　　要：针对锥齿轮传动优化设计过程复杂和效率低下的问题,提出一种基于遗传算法和.NET平台的锥齿轮传动优化设计方案.首先探讨基于遗传算法和.NET平台的优化设计系统关键技术,即研究B/S模式下的优化系统框架结构,建立基于模糊可靠度遗传算法的锥齿轮传动优化设计数学模型,搭建连接客户端与MATLAB中m文件的项目文件;然后结合实例完成锥齿轮传动优化设计;最后对优化系统的设计结果进行分析,验证了系统可以高效完成锥齿轮传动的优化设计.The optimal design for bevel gear is complex and inefficient.In a study reported herein,we proposed an optimal design based on genetic algorithms and.NET platform.First,the key technologies of the system were examined,the frame structure of B/S mode was researched,an optimization mathematical model based on genetic algorithms about fuzzy reliability of bevel gear was designed,and project files were built to connect the customer service and the m files in MATLAB.Then,with the citation of real examples,the transmission design of bevel gear was completed.Finally,the results of the design optimization system were analyzed,and it was shown that the system could complete the transmission design of bevel gear efficiently.

关 键 词：锥齿轮传动 遗传算法 .NET平台 模糊可靠度 

分 类 号：TH122[机械工程—机械设计及理论]