摘要
以蜗轮齿冠体积最小、传动效率最高和中心距最小为目标,在保证蜗轮和蜗杆满足承载、强度及其它要求的前提下建立蜗杆传动多目标优化设计的数学模型,并运用实数编码策略、联赛选择机制及通过动态调整交叉概率和变异概率,引入自适应算子对标准遗传算法进行改进,利用改进后的遗传算法对该问题进行了优化设计。整个求解过程和结果表明,该方法具有较好的实用价值,是一种值得推荐的设计方法。
In this paper, multi-objective mathematical model, minimum volume of a tooth crown for a worm wheel, minimum center distance and maximum transmission efficiency, was estabhshed under certain constraints. The standard genetic algorithm was improved by using real-coding,tournament selection model and adaptive operator. Its optimal solution was searched by improved genetic algorithm. The processing and results show that the method to deal with multi-objective optimization problems is reasonable, practical and worthwhile recommendation.
出处
《机电产品开发与创新》
2007年第5期29-30,36,共3页
Development & Innovation of Machinery & Electrical Products
基金
陕西省自然科学基金(2006E108)
关键词
蜗杆传动
多目标优化设计
改进遗传算法
worm transmission
multi-objective optimization design
improved genetic algorithm
