车铣粗糙度预测模型的建立和分析

Analysis and establishment of a predictive model for surface roughness of turn-milling

车铣加工是近些年来发展起来的先进的切削加工技术之一.采用正交试验法,进行一系列的正交车铣铝合金切削实验,研究车铣切削用量与表面粗糙度之间的变化规律.通过正交试验法的方差分析进一步确定了各因素对表面粗糙度的影响大小的主次顺序,铣刀转速(切削速度)和工件转速对表面粗糙度的影响较大.采用回归分析原理,建立了表面粗糙度的预测模型,统计检验结果表明,所建立的表面粗糙度预测模型呈高度显著检验状态,具有很高的可信度.

Turn-milling developed in recent years is one of advanced cutting technologies. A series of orthogonal turn-milling aluminum alloy cutting experiments were conducted by adopting orthogonal experimental method. The relationship between turn-milling regimes and the machined surface roughness was ascertained. The primary and secondary order of cutting regimes impacting the surface roughness was confirmed through variance analysis in orthogonal experiments, and the rotate speeds of cutter and workpiece greatly influenced the surface roughness. A predictive model for surface roughness was established through regression analysis. Statistical test results indicate that the established predictive model is in highly notable test status and has high reliability.