PCBN刀具断续车削Cr12MoV钢表面粗糙度的试验研究

魏文静; 沈浩

doi:10.13433/j.cnki.1003-8728.2014.1015

PCBN刀具断续车削Cr12MoV钢表面粗糙度的试验研究

doi: 10.13433/j.cnki.1003-8728.2014.1015

魏文静^1,2,
沈浩^1,2

1.
兰州理工大学数字制造技术与应用省部共建教育部重点实验室, 兰州 730050;
2.
兰州理工大学机电工程学院, 兰州 730050

基金项目:

甘肃省教育厅硕士研究生导师计划项目(1102ZTC107)资助

详细信息

作者简介:
魏文静(1987-)，硕士，研究方向为先进制造技术和数控技术，weiwenjing63169@163.com;沈浩(联系人)，副教授，硕士，硕士生导师，shenhao-65@163.com

魏文静(1987-)，硕士，研究方向为先进制造技术和数控技术，weiwenjing63169@163.com;沈浩(联系人)，副教授，硕士，硕士生导师，shenhao-65@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2013-05-05

Study on Surface Roughness Experiment in Interrupted Turning of Hardened Tool Steel Cr12MoV with PCBN Cutting Tools

Wei Wenjing^1,2,
Shen Hao^1,2

1.
Key Laboratory of Digital Manufacturing Technology and Application, Ministry of Education, Lanzhou University of Technology, Lanzhou 730050;
2.
College of Mechano-Electronic Engineering, Lanzhou University of Technology, Lanzhou 730050

摘要

摘要: 使用PCBN(聚晶立方氮化硼)刀具对不同硬度淬火模具钢Cr12MoV进行强断续车削试验。基于正交设计法,运用Minitab16统计软件对数据进行极差分析,得出工件硬度及切削参数对表面粗糙度的影响程度,实现切削参数的优选;应用多元回归分析法建立表面粗糙度的线性预测模型和指数预测模型,并对这两种模型进行比较。结果表明:影响表面粗糙度值的主次关系是工件硬度、切削速度、背吃刀量、进给量;线性预测模型平均误差不超过7%,能很好地对表面粗糙度进行预测。
- 断续车削 /
- 正交设计法 /
- 表面粗糙度 /
- 多元回归分析法 /
- 预测模型
Abstract: Intensity interrupted turning experiment on different hardness hardened tool steel Cr12MoV with PCBN(polycrystalline cubic boron nitride) cutting tools was investigated in this paper.Using the statistical software forrange analysis based on orthogonal design method, the impacts of the hardness of work-piece and the cuttingparameters on surface roughness were analyzed, and the optimum cutting parameters were obtained.A linearprediction model and an exponential prediction model of surface roughness were built by using multiple regressionanalysis method.Then the two models were compared.The results indicated that: the four factors that affect thesurface roughness values of the primary and secondary relationship followed by the hardness of the work-piece, cutting speed, depth of cut, feed rate; the average error of the linear prediction model was 7% at most, so thelinear model could predict surface roughness well.
- chromium alloys /
- computer software /
- cubic boron nitride /
- cutting tools /
- design of experiments

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参考文献(9)

[1]	李志江.表面粗糙度产生原因及影响因素的分析与控制[J].装备制造技术,2011，(11): 129-131Li Z J.Causes of surface roughness and analysis of influencefactors and control [J].Equipment ManufacturingTechnology，2011，(11): 129-131 (in Chinese)
[2]	Thiele J D，Melkote S N.Effect of cutting edge geometryand work-piece hardness on surface generation in thefinish hard turning of AISI 52100 steel[J].Journal ofMaterials Processing Technology,1999,94: 216-226
[3]	Mital A，Mehta M.Surface finish prediction models forfine turning [J].International Journal of Production Research,1988: 1861-1876
[4]	Jack C X，Wang X.Development of empirical models forsurface roughness prediction in finish turning [J].International Journal of Advanced ManufactureTechnology,2002: 348-356
[5]	El Baradie M A.Computer aided analysis of a surfaceroughness model for turning[J].Journal of MaterialsProcessing Technology,1991,26: 207-216
[6]	唐林虎，黄建龙，高成秀，等.干式硬态车削淬硬工具钢Cr12MoV 表面粗糙度试验与预测模型[J].兰州理工大学学报，2012,38(2): 34-36Tang L H，Huang J L，Gao C X，et al.Surface roughnessexperiment and prediction model of hardened tool steelCr12MoV after dry and hard turning [J].Journal ofLanzhou University of Technology，2012，38 (2): 34-36(in Chinese)
[7]	亓磊，牛秋林，寇自立，等.PCBN 刀具断续车削淬硬钢的试验研究[J].金刚石与磨料磨具工程，2009，10(5): 23-27Qi L，Niu Q L，Kou Z L，et al.Study on interrupted turningof hardened steels with PCBN Tools[J].Diamond andAbrasives Engineering,2009,10(5): 23-27 (in Chinese)
[8]	杜国臣.PCBN 刀具的切削性能及应用[J].组合机床与自动化加工技术,2004，(7): 94-98Du G C.Cutting ability and application of PCBN cuttingtools [J].Modular Machine Tool and AutomaticManufacturing Technique,2004，(7): 94-98 (in Chinese)
[9]	赵选民.试验设计方法[M].北京: 科学出版社,2006Zhao X M.Experimental design method[M].Beijing:Science Press,2006 (in Chinese)