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共轨管微小孔磨粒流抛光实验研究与表面粗糙度预测

蔡智杰 刘薇娜 高彬彬 任成祖

蔡智杰, 刘薇娜, 高彬彬, 任成祖. 共轨管微小孔磨粒流抛光实验研究与表面粗糙度预测[J]. 机械科学与技术, 2017, 36(11): 1722-1728. doi: 10.13433/j.cnki.1003-8728.2017.1114
引用本文: 蔡智杰, 刘薇娜, 高彬彬, 任成祖. 共轨管微小孔磨粒流抛光实验研究与表面粗糙度预测[J]. 机械科学与技术, 2017, 36(11): 1722-1728. doi: 10.13433/j.cnki.1003-8728.2017.1114
Cai Zhijie, Liu Weina, Gao Binbin, Ren Chengzu. Experimental Study on Abrasive Flow Polishing of Common-rail Tube Micro-holes and Surface Roughness Prediction[J]. Mechanical Science and Technology for Aerospace Engineering, 2017, 36(11): 1722-1728. doi: 10.13433/j.cnki.1003-8728.2017.1114
Citation: Cai Zhijie, Liu Weina, Gao Binbin, Ren Chengzu. Experimental Study on Abrasive Flow Polishing of Common-rail Tube Micro-holes and Surface Roughness Prediction[J]. Mechanical Science and Technology for Aerospace Engineering, 2017, 36(11): 1722-1728. doi: 10.13433/j.cnki.1003-8728.2017.1114

共轨管微小孔磨粒流抛光实验研究与表面粗糙度预测

doi: 10.13433/j.cnki.1003-8728.2017.1114
基金项目: 

国家自然科学基金项目(51275346)与教育部博士点基金优先资助领域项目(20122216130001)资助

详细信息
    作者简介:

    蔡智杰(1990-),硕士研究生,研究方向为磨粒流超精密抛光理论及其关键技术,zjc863@163.com

    通讯作者:

    刘薇娜(联系人),教授,博士生导师,wnliu77@sina.com

Experimental Study on Abrasive Flow Polishing of Common-rail Tube Micro-holes and Surface Roughness Prediction

  • 摘要: 针对共轨管微小孔电火花加工表面的光整加工问题,采用磨粒流抛光工艺,并通过正交实验探索了加工参数及其交互作用对孔道表面粗糙度的影响规律;基于二阶响应曲面模型和幂函数模型分别建立了表面粗糙度预测多元非线性回归模型。研究结果表明:加工参数对抛光效果的影响显著,而交互作用对其影响较小;抛光压强、磨料浓度及加工时间对孔道表面粗糙度的影响均为负效应,磨粒粒径大于148 μm时对表面粗糙度的影响为正效应,粒径小于该临界值时表现为对抛光效率的正效应影响;在最优参数组合条件下,孔道表面粗糙度值(Ra)由初始的1.31 μm降至0.20 μm;二阶多项式回归模型相对于幂函数回归模型有更高的预测精度,相关系数高达0.990,预测误差在9.54%以内。
  • [1] 王称心,武美萍,何雪明,等.共轨管材料属性对共轨压力的影响分析[J].机床与液压,2015,43(13):52-54 Wang C X, Wu M P, He X M, et al. Analysis on effect of common rail pipe material properties to common rail pressure[J]. Machine Tool & Hydraulics, 2015,43(13):52-54(in Chinese)
    [2] 夏劲武,徐家文,赵建社.电火花加工表面质量的研究及进展[J].电加工与模具,2008,(6):11-15 Xia J W, Xu J W, Zhao J S. Research and development of surface quality machined by EDM[J]. Electromachining & Mould, 2008,(6):11-15(in Chinese)
    [3] 李俊烨,刘薇娜,杨立峰,等.共轨管微小孔磨粒流加工装备的设计与数值模拟[J].机械设计与制造,2010,(10):54-56 Li J Y, Liu W N, Yang L F, et al. Micro-hole of the common-rail abrasive flow machining equipment design and numerical simulation[J]. Machinery Design & Manufacture, 2010,(10):54-56(in Chinese)
    [4] 刘薇娜,张雪瑶.共轨管微小孔磨粒流加工数值分析与研究[J].制造业自动化,2016,38(4):115-117 Liu W N, Zhang X Y. Numerical analysis and research of abrasive flow machining for common rail tube[J]. Manufacturing Automation, 2016,38(4):115-117(in Chinese)
    [5] 李俊烨,许颖,杨立峰,等.非直线管零件的磨粒流加工实验研究[J].中国机械工程,2014,25(13):1729-1734 Li J Y, Xu Y, Yang L F, et al. Research on abrasive flow machining experiments of non-linear tubes[J]. China Mechanical Engineering, 2014,25(13):1729-1734(in Chinese)
    [6] 吴正雨,孙桓五,孟强.液体磁性磨具小孔光整加工的机理分析及实验研究[J].机械科学与技术,2014,33(4):536-540 Wu Z Y, Sun H W, Meng Q. The mechanism analysis and experiments of the smaller hole finishing of liquid-magnetic abrasive tool[J]. Mechanical Science and Technology for Aerospace Engineering, 2014,33(4):536-540(in Chinese)
    [7] Jain R K, Jain V K, Dixit P M. Modeling of material removal and surface roughness in abrasive flow machining process[J]. International Journal of Machine Tools and Manufacture, 1999,39(12):1903-1923
    [8] Gorana V K, Jain V K, Lal G K. Prediction of surface roughness during abrasive flow machining[J]. The International Journal of Advanced Manufacturing Technology, 2006,31(3-4):258-267
    [9] Jain R K, Jain V K, Kalra P K. Modelling of abrasive flow machining process:a neural network approach[J]. Wear, 1999,231(2):242-248
    [10] Jain R K, Jain V K. Optimum selection of machining conditions in abrasive flow machining using neural network[J]. Journal of Materials Processing Technology, 2000,108(1):62-67
    [11] Jain V K, Kumar R, Dixit P M, et al. Investigations into abrasive flow finishing of complex workpieces using FEM[J]. Wear, 2009,267(1-4):71-80
    [12] Sankar M R, Mondal S, Ramkumar J, et al. Experimental investigations and modeling of drill bit-guided abrasive flow finishing(DBG-AFF) process[J]. The International Journal of Advanced Manufacturing Technology, 2009,42(7-8):678-688
    [13] Mali H S, Manna A. Simulation of surface generated during abrasive flow finishing of Al/SiCp-MMC using neural networks[J]. The International Journal of Advanced Manufacturing Technology, 2012,61(9-12):1263-1268
    [14] 石文天,王西彬,刘玉德,等.基于响应曲面法的微细铣削表面粗糙度预报模型与试验研究[J].中国机械工程,2009,20(20):2399-2402 Shi W T, Wang X B, Liu Y D, et al. A prediction model and experimental study of surface roughness in micro-milling based on RSM[J]. China Mechanical Engineering, 2009,20(20):2399-2402(in Chinese)
    [15] 李俊烨.微小孔磨粒流抛光装置的研制与工艺研究[D].长春:长春理工大学,2011 Li J Y. Micro-hole abrasive flow polishing device design and technology research[D]. Changchun:Changchun University of Science and Technology, 2011(in Chinese)
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出版历程
  • 收稿日期:  2016-06-28
  • 刊出日期:  2017-11-05

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