超声振动辅助磨削马氏体不锈钢表面粗糙度研究

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摘要针对强韧性材料铣磨、小孔磨削等工艺中，因磨削速度低所引起的磨削表面粗糙度不易改善的问题，提出采用轴向超声振动辅助磨削工艺进行加工的方法。从几何层面对轴向超声振动辅助磨削表面创成进行理论分析，并对9Cr18马氏体不锈钢开展磨削试验，对比了轴向超声振动辅助磨削与普通磨削条件下的磨削表面粗糙度及表面形貌。结果表明，轴向超声振动辅助磨削可有效改善磨削表面粗糙度，且改善效果受磨削参数的影响，其中磨削速度对轴向超声振动效果影响最大，进给速度及磨削深度影响相对较小。磨削速度及磨削深度的增加对轴向超声振动效果具有弱化作用；增大进给速度，轴向超声振动效果略有增强。

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	高绍武1
	杨长勇1
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	徐九华1
	傅玉灿1
	丁文锋1
	苏宏华1
	苏浩1

关键词 ：表面粗糙度, 轴向超声振动, 磨削速度, 磨削深度, 进给速度

Abstract：An axial ultrasonic assisted grinding (AUAG) method was proposed to overcome the problems existing in milling grinding and small-hole grinding process of strong and tough materials, such as poor surface roughness caused by low grinding speed.Firstly, the ground surface generation in AUAG was investigated with a geometric analysis method.Then a series of AUAG and conventional grinding (CG) tests were carried out on 9Cr18 stainless steel.The ground surface roughness and surface topography of CG and AUAG was compared.The results showed that axial ultrasonic vibration (AUV) could improve ground surface roughness effectively and the effectiveness of AUV was influenced by the grinding parameters.The most influential factor on AUV effectiveness was grinding speed, followed by grinding depth and feed rate.The effectiveness of AUV was weakened with the increase of grinding speed and grinding depth.However, when feed rate increased, the effectiveness of AUV was slightly enhanced.

Key words： surface roughness axial ultrasonic vibration grinding speed grinding depth feed rate

收稿日期: 2016-12-30 出版日期: 2018-10-15

引用本文:

高绍武1，杨长勇1,2，徐九华1，傅玉灿1，丁文锋1，苏宏华1，苏浩1. 超声振动辅助磨削马氏体不锈钢表面粗糙度研究[J]. 振动与冲击, 2018, 37(20): 245-250.
GAO Shaowu1, YANG Changyong1,2, XU Jiuhua1, FU Yucan1, DING Wenfeng1, SU Honghua1,SU Hao1. Surface roughness in axial ultrasonic assisted grinding of martensitic stainless steel. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(20): 245-250.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2018/V37/I20/245

[1] Klocke F. Manufacturing Processes 2: Grinding, Honing, Lapping[M]. Springer, 2009.
[2] Brinksmeler E, Glwerzew A. Chip Formation Mechanisms in Grinding at Low Speeds[J]. CIRP Annals - Manufacturing Technology. 2003，52(1): 253-258.
[3] 梁志强，王西彬，吴勇波，等. 超声振动辅助磨削技术的现状与新进展[J]. 兵工学报，2010，31(11): 1530-1535.
LIANG Zhi-qiang, WANG Xi-bin, WU Yong-bo, et al. Status and progress of ultrasonic assisted grinding technique[J]. Acta Armamentarii, 2010, 31(11):1530-1535.
[4] 郑侃，肖行志，廖文和. 超声振动辅助磨削完全烧结氧化锆陶瓷牙冠的实验研究[J]. 振动与冲击，2014, 33(04): 32-36.
ZHENG Kan, XIAO Xing-zhi, LIAO Wen-he. Tests for ultrasonic vibration assisted grinding of sintered zirconia ceramics crowns[J]. Journal of vibration and shock, 2014, 33(4): 32-36.
[5] 肖行志，郑侃，廖文和. 超声振动辅助磨削牙科氧化锆陶瓷切削力预测模型研究[J]. 振动与冲击，2015, 34(12): 140-145.
XIAO Xing-zhi, ZHENG kan, LIAO Wen-he. Prediction model of cutting force in ultrasonic vibration assisted grinding of zirconia ceramics[J]. Journal of vibration and shock, 2015, 34(12): 140-145.
[6] Cao J, Wu Y, Li J, et al. A grinding force model for ultrasonic assisted internal grinding (UAIG) of SiC ceramics[J]. The International Journal of Advanced Manufacturing Technology. 2015, 81(5): 875-885.
[7] Nik M G, Movahhedy M R, Akbari J. Ultrasonic-Assisted Grinding of Ti6Al4 V Alloy[J]. Procedia CIRP, 2012, 1(1):353-358.
[8] Chen H, Tang J, Zhou W. An experimental study of the effects of ultrasonic vibration on grinding surface roughness of C45 carbon steel[J]. The International Journal of Advanced Manufacturing Technology, 2013, 68(9):2095-2098.
[9] Chen H, Tang J. A model for prediction of surface roughness in ultrasonic-assisted grinding[J]. The International Journal of Advanced Manufacturing Technology, 2015, 77(1):643-651.
[10] Wang Y, Lin B, Cao X, et al. An experimental investigation of system matching in ultrasonic vibration assisted grinding for titanium[J]. Journal of Materials Processing Technology, 2014, 214(9):1871-1878.
[11] Bertsche E, Ehmann K, Malukhin K. An analytical model of rotary ultrasonic milling[J]. The International Journal of Advanced Manufacturing Technology, 2013, 65(9):1705-1720.
[12] Hecker R L, Liang S Y. Predictive modeling of surface roughness in grinding[J]. International Journal of Machine Tools & Manufacture, 2003, 43(8):755-761.