机械科学与技术2017，Vol.36Issue(12)：1914-1920,7.DOI:10.13433/j.cnki.1003-8728.2017.1218
磨料水射流切割钢板过程参数优化研究
Study on Optimization of Processing Parameters in Abrasive Waterjet Cutting Steel Plate
摘要
Abstract
The taguchi's orthogonal array is adopted in cutting steel plate (06Cr19Ni10) experiment by abrasive water jet,then the cross-sectional surface roughness is used to evaluate the standard of surface quality for workpiece.Jet pressure,traverse speed,standoff distance,abrasive grit size and abrasive flow rate were carried as processing parameter variables.A prediction model for surface roughness by using regression analysis is established,and the processing parameters via response surface analysis method to obtain a corresponding parameter value to the minimum surface roughness are optimized.After that,the minimum surface roughness predicted value was obtained,and the experimental learning sample data was trained by using artificial neural network.the optimization of processing parameters was taken respectively via artificial intelligent algorithms (genetic pattern search and simulated annealing),and then the integration of artificial neural network-genetic pattern search-simulated annealing technique to further optimize the processing parameters to obtain the optimum parameter values corresponding minimum surface roughness was accepted.The results show that the integration of technology,compared with single genetic pattern search or simulated annealing method,greatly reduces the surface roughness value and shortens the optimization time.关键词
磨料水射流/优化/响应面分析/人工神经网络/智能算法Key words
abrasive waterjet optimization/response surface analysis/artificial neural network/intelligent algorithms分类
矿业与冶金引用本文复制引用
陈正雄,武美萍,强争荣..磨料水射流切割钢板过程参数优化研究[J].机械科学与技术,2017,36(12):1914-1920,7.基金项目
国家自然科学基金项目(51275210)与教育部预研项目(62501036035)资助 （51275210）
