Prediction of Surface Finish and Optimization of Machining Parameters in Turning

摘要：

Surface roughness plays a crucial role in the functional capacity of machined parts.In this work,experiments were carried out on a conventional lathe for different cutting parameters namely feed,spindle speed,depth of cut and tool nose radius according to Taguchi Design of Experiments.Radial acceleration readings were taken with an accelerometer.Optimum cutting parameters and their level of significance were found using Taguchi analysis(ANOVA).Regression analysis was carried out to identify whether the experimental roughness values have fitness characteristic with the process parameters.Recurrence Plots(RP)were obtained using the sensor signals which determine surface roughness qualitatively and Recurrence Quantification Analysis (RQA)technique was used to quantify the RP obtained.Surface finish was predicted using a feed forward back propagation neural network with RQA parameters,cutting parameters and acceleration data as inputs to the network.The validity and reliability of the methods were verified experimentally.

关键词： turning vibration surface finish rp and rqa ann optimization taguchi analysis ANOVA

作者: Devi Prasad Prof.Prasad Krishna Dr.Shrikantha S.Rao

作者单位: Department of Mechanical Engineering,N.I.T.K.,Surathkal,India

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Advanced Material Research(2012 第二届先进材料研究国际会议 ICAMR2012)

会议地点: 成都

会议语种:英文

页码: 679-683

在线出版日期: 2012-01-07（万方平台首次上网日期，不代表论文的发表时间）