节点文献
GA寻优超精密加工表面粗糙度预测模型参数的研究
Predictive Modeling of Surface Roughness Optimization in Ultra-precision Turning Based on Genetic Algorithm
【摘要】 提出将遗传算法(GA)用于超精密切削表面粗糙度预测模型的参数寻优,并给出了金刚石刀具超精密切削铝合金的表面粗糙度预测数学模型,进行了遗传算法(GA)和最小二乘法的比较,结果表明遗传算法较最小二乘法更适合于粗糙度预测模型的参数寻优。
【Abstract】 The application of genetic algorithm for the surface roughness pred iction model in ultra-precision turning is proposed by a practical example Mathe matics model is introduced and optimal results are given. The prediction model u sing genetic algorithm are compared with least square method results. Comparison shows that genetic algorithm is more suitable than traditional optimal methods.
【关键词】 遗传算法;
表面粗糙度预测模型;
优化;
超精密切削;
【Key words】 genetic algorithm; surface roughness prediction model; optimization; ultra-precision turning;
【Key words】 genetic algorithm; surface roughness prediction model; optimization; ultra-precision turning;
【基金】 国家科学技术预研资助项目(18.2.1.1)
- 【文献出处】 航空精密制造技术 ,Aviation Precision Manufacturing Technology , 编辑部邮箱 ,2005年03期
- 【分类号】TG506
- 【被引频次】9
- 【下载频次】212