Determination of minimum uncut chip thickness during micro-end milling Inconel 718 with acoustic emission signals and FEM simulation

被引:2
作者
Zhenyu Shi
Yuchao Li
Zhanqiang Liu
Yang Qiao
机构
[1] Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education
[2] Shandong University,School of Mechanical Engineering
[3] University of Jinan,School of Mechanical Engineering
来源
The International Journal of Advanced Manufacturing Technology | 2018年 / 98卷
关键词
Minimum uncut chip thickness; Acoustic emission signal; Finite element method modeling; Micro-end milling;
D O I
暂无
中图分类号
学科分类号
摘要
Micro-machining has gained increased application to produce miniaturized parts in various industries. However, the uncut chip thickness in micro-machining is comparable to cutting edge radius. The relationship between the cutting edge radius and uncut chip thickness has been a subject matter of increasing interest. The acoustic emission (AE) signal can reflect the stress wave caused by the sudden release of the energy of the deformed materials. To improve the precision of machining system, determination of the minimum uncut chip thickness was investigated in this paper. The AE signal generated during micro-cutting experiments was used to analyze the chip formation in micro-end milling of Inconel 718. The finite element method (FEM) simulation was used to analyze the results of the experiments. The results showed that the cutting tool geometry and material properties affected the minimum uncut chip thickness. The estimation of the minimum uncut chip thickness based on AE signals can produce quite satisfactory results. The research on the minimum uncut chip thickness can provide theoretical basis for analysis of surface quality and optimal choice of cutting parameters.
引用
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页码:37 / 45
页数:8
相关论文
共 68 条
[11]  
Liu ZQ(2005)Effects of the friction coefficient on the minimum cutting thickness in micro cutting Int J Mach Tool Manu 45 529-535
[12]  
Kishawy HA(2014)Mechanics and dynamics of multifunctional tools J Manuf Sci Eng 137 11-19
[13]  
Elbestawi MA(2014)Mechanics and dynamics of thread milling process Int J Mach Tools Manuf 87 16-26
[14]  
Jain VK(2015)Instantaneous tool deflection model for micro milling Int J of Adv Manuf Technol 79 769-777
[15]  
Kalia S(2013)Mathematical modelling of chip thickness in micro-end- milling: a Fourier modelling Appl Math Model 37 4208-4223
[16]  
Sidpara A(2009)Chatter suppression in micro end milling with process damping J Mater Process Technol 209 5766-5776
[17]  
Piotrowska I(2011)Estimation of minimum chip thickness in micro-milling using acoustic emission. Proc IMechE Part B: J Engineering Manufacture 225 1535-1551
[18]  
Brandt C(2014)Study of reasons of increased active force using coolant with uncut chip thickness Int J Adv Manuf Technol 70 1555-1562
[19]  
Karimi HR(2006)An analytical model for the prediction of minimum chip thickness in micromachining J Manuf Sci Engng Trans ASME 128 474-481
[20]  
Basuray PK(2002)A brief review: acoustic emission method for tool wear monitoring during turning Int J Mach Tools Manuf 42 157-165