TC4钛合金高速铣削表面粗糙度研究
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摘要
TC4钛合金被广泛地用于航空航天等众多领域,为了提高钛合金零件的表面加工质量和加工效率,对TC4钛合金高速铣削表面粗糙度进行研究具有十分重要的意义。切削参数是影响TC4钛合金加工表面粗糙度的重要因素,采用了正交试验分析主轴转速n、铣削深度ap、铣削宽度ae和每齿进给量fz等4个试验因素对表面粗糙度的影响规律,运用了极差分析法绘制出铣削参数对表面粗糙度的影响趋势曲线。利用了多元线性回归分析计算出表面粗糙度的数学模型,采用F值检验法对数学模型和模型参数进行了显著性验证:F>F0.01(4,11),证明了模型和参数都是高度显著的。利用了表面粗糙度预测模型对另外8组切削参数进行粗糙度预测,并将预测结果与实际实验结果时行对比,最大误差为8.9%,验证了表面粗糙度预测模型的有效性,为TC4钛合金加工提供了理论依据。
TC4 titanium alloys are widely used in many fields,such as aeronautics and astronautics,In order to improve the surface processing quality and processing efficiency of titanium alloy parts,it is very important to study the surface roughness of TC4 titanium alloy in high-speed milling. Cutting parameters are important factors affecting the surface roughness of TC4 titanium alloy,which the influence of four test factors,such as spindle speed n,milling depth ap,milling width ae,and feed per tooth fZ,on the surface roughness is analyzed by orthogonal test and the influence trend curve of milling parameters on surface roughness is drawn by the method of extreme difference analysis. The mathematical model of surface roughness is calculated by multiple linear regression analysis;the F value experiment method is used to verify saliency of the mathematical model and the model parameters;F>F0.01(4,11)proves that both the model and the parameters are highly significant. The surface roughness prediction model is used to predict the roughness of the other 8 sets of cutting parameters and the prediction results are compared with the actual experimental results. The maximum error is 8.9%,which validates the validity of the surface roughness prediction model and provides a theoretical basis for the processing of TC4 titanium alloy.
TC4 titanium alloys are widely used in many fields,such as aeronautics and astronautics,In order to improve the surface processing quality and processing efficiency of titanium alloy parts,it is very important to study the surface roughness of TC4 titanium alloy in high-speed milling. Cutting parameters are important factors affecting the surface roughness of TC4 titanium alloy,which the influence of four test factors,such as spindle speed n,milling depth ap,milling width ae,and feed per tooth fZ,on the surface roughness is analyzed by orthogonal test and the influence trend curve of milling parameters on surface roughness is drawn by the method of extreme difference analysis. The mathematical model of surface roughness is calculated by multiple linear regression analysis;the F value experiment method is used to verify saliency of the mathematical model and the model parameters;F>F0.01(4,11)proves that both the model and the parameters are highly significant. The surface roughness prediction model is used to predict the roughness of the other 8 sets of cutting parameters and the prediction results are compared with the actual experimental results. The maximum error is 8.9%,which validates the validity of the surface roughness prediction model and provides a theoretical basis for the processing of TC4 titanium alloy.
引文
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[4]王正智,杨海东,叶铮.新型低碳高硫易切钢表面粗糙度的研究[J].合肥工业大学学报:自然科学版,2016,39(5):598-601.(Wang Zheng-zhi,Yang Hai-dong,Ye Zheng.On surface roughness of new low-carbon high-sulfur free-cutting steel[J].Journal of hefei university of technology:naturalscience,2016,39(5):598-601.)
[5]李学光,王惠伟,张树仁.基于正交试验法的切削参数优化研究[J].机床与液压,2011,39(8):17-19.(Li Xue-guang,Wang Hui-wei,Zhang Shu-ren.Optimization research of cutting parameters based on orthogonal experiment method[J].Machine tool&hydraulics,2011,39(8):17-19.)
[6]王健强,苏安鹏,郭婷婷.基于正交试验的铝合金无钉铆接工艺优化[J].合肥工业大学学报:自然科学版,2016,39(8):1009-1012.(Wang Jian-qiang,Su An-peng,Guo Ting-ting.Process optimization of clinching of aluminum alloy sheet metal based on orthogonal experiment method[J].Journal of Hefei University of Technology:Natural Science,2016,39(8):1009-1012.)
[7]李登万,陈洪涛,许明恒.基于均匀设计法的钛合金切削参数优化试验研究[J].机械科学与技术,2011,30(5):689-692.(Li Deng-wan,Chen Hong-tao,Xu Ming-heng.A test study of the cutting parameters optimization of titanium alloy based on uniform design method[J].Mechanical science and technology for aerospace engineering,2011,30(5):689-692.)
[8]魏文静,沈浩.PCBN刀具断续车削Cr12MoV钢表面粗糙度的试验研究[J].机械科学与技术,2014,33(10):1514-1517.(Wei Wen-jing,Shen Hao.Study on surface roughness experiment in interrupted turning of hardened tool steel Cr12MoV with PCBN cutting tools[J].Mechanical Science and Technology for Aerospace Engineering,2014,33(10):1514-1517.)
[9]邹浩波.高速切削加工表面粗糙度的研究[D].昆明:昆明理工大学,2006:48-57.(Zou Hao-bo.Study on surface roughness of high speed machining[D].Kunming:Kunming University of Science and Technology,2006:48-57.)
[10]刘晓志,陶华,李茂伟.钛合金TC18铣削表面粗糙度预测模型的研究[J].组合机床与自动化加工技术,2010(7):8-11.(Liu Xiao-zhi,Tao Hua,Li Mao-wei.Establishing predictive model for surface roughness of milling titanium alloy TC18[J].Modular Machine Tool&Automatic Manufacturing Technique,2010(7):8-11.)
[11]陈锦江,龙超,王超.高速铣削P20模具钢表面粗糙度预测模型研究[J].组合机床与自动化加工技术,2012(12):60-62+67.(Chen Jin-jiang,Long Chao,Wang Chao.Prediction model of surface roughness on P20 mold steel by high speed milling[J].Modular Machine Tool&Automatic Manufacturing Technique,2012(12):60-62+67.)
[12]HALL C D.High speed flywheel for integrated energy storage and attitude control[C].Proceedings of the American Control Conference,1997:1894-1898.(HALL C D.High speed flywheel for integrated energy storage and attitude control[C].Proceedings of the American control conference,1997:1894-1898.)
[13]吴贵生,于治福,于淑政.试验设计与数据处理[M].北京:冶金工业出版社,1997:46-114.(Wu Gui-sheng,Yu Zhi-fu,Yu Shu-zheng.Experiment Design and Data Processing[M].Beijing:Metallurgical Industry Press,1997:46-114.)
[14]谢中华,李国栋,刘焕进.MATLAB从零到进阶[M].北京:北京航空航天大学出版社,2012:402-406.(Xie Zhong-hua,Li Guo-dong,Liu Huan-jin.MATLAB:from Zero to Advance[M].Beijing:Beihang University Press,2012:402-406.)
[15]王素玉,艾兴,赵军.高速铣削表面粗糙度建模与预报[J].制造技术与机床,2006(8):65-68.(Wang Su-yu,Ai Xing,Zhao Jun.A surface roughness prediction model for high-speed milling[J].Manufacturing Technology&Machine Tool,2006(8):65-68.)