Identifying the transient milling force coefficient of a slender end-milling cutter with vibrations

被引:15
作者
Cai, Sijie [1 ]
Cai, Zhiqin [1 ]
Yao, Bin [1 ]
Shen, Zhihuang [2 ]
Ma, Xiaofan [1 ]
机构
[1] Xiamen Univ, Dept Mech & Elect Engn, Xiamen 361106, Fujian, Peoples R China
[2] Jimei Univ, Sch Mech & Energy Engn, Xiamen 361021, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Frequency response function; Interface dynamics parameters; Milling force coefficient; Undeformed cutting thickness; Receptance coupling substructure analysis  (RCSA); CUTTING FORCE; PREDICTION; TOOL; IDENTIFICATION; MECHANICS; MODEL;
D O I
10.1016/j.jmapro.2021.04.068
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Milling is a complex process during the coupling effect for multiple physical fields, especially for slender endmilling cutters. Because of the weak rigidity of its process system, it is easily affected by the physical behavior such as the milling force. In addition, it produces large vibrations and deformations, which affects the machining quality. To accurately predict the milling force of a slender end-milling cutter, a method to identify the milling force coefficients while considering vibrations is proposed. When considering the small diameter of the milling cutter edge, it is difficult to install sensors to measure the vibration. By combining the measured frequency response function of the cutter handle end and the cutter's Timoshenko beam finite element model, the interface dynamics parameters between the cutter and the cutter handle are identified. This is based on the receptance coupling substructure analysis, and the cutter edge's frequency response function is established. When considering the measured milling force data and the state equation of the cutter edge vibration, the realtime vibration of the cutter edge during the milling process is predicted. In addition, the undeformed cutting thickness during the superposition of the cutter edge vibration is obtained. The milling force coefficients are identified based on the undeformed cutting thickness of the coupled vibration, and the influence of the process parameters on the variation of the milling force coefficient is examined. The prediction accuracy and the average milling force coefficient without the vibrations are compared to verify the accuracy.
引用
收藏
页码:262 / 274
页数:13
相关论文
共 23 条
[1]   Mechanics of micro-milling with round edge tools [J].
Altintas, Y. ;
Jin, X. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2011, 60 (01) :77-80
[2]   Determination of the chip geometry, cutting force and roughness in free form surfaces finishing milling, with ball end tools [J].
Bouzakis, KD ;
Aichouh, P ;
Efstathiou, K .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2003, 43 (05) :499-514
[3]   Interaction of manufacturing process and machine tool [J].
Brecher, C. ;
Esser, M. ;
Witt, S. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2009, 58 (02) :588-607
[4]   Prediction of milling force coefficients from orthogonal cutting data [J].
Budak, E ;
Altintas, Y ;
Armarego, EJA .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 1996, 118 (02) :216-224
[5]   An improved cutting force prediction model in the milling process with a multi-blade face milling cutter based on FEM and NURBS [J].
Cai, Sijie ;
Yao, Bin ;
Feng, Wei ;
Cai, Zhiqin .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 104 (5-8) :2487-2499
[6]   Discrete-Time Prediction of Chatter Stability, Cutting Forces, and Surface Location Errors in Flexible Milling Systems [J].
Eksioglu, C. ;
Kilic, Z. M. ;
Altintas, Y. .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2012, 134 (06)
[7]   Mechanics and dynamics of general milling cutters. Part II: inserted cutters [J].
Engin, S ;
Altintas, Y .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2001, 41 (15) :2213-2231
[8]   Speed-varying cutting force coefficient identification in milling [J].
Grossi, N. ;
Sallese, L. ;
Scippa, A. ;
Campatelli, G. .
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2015, 42 :321-334
[9]   Surface form error prediction in five-axis flank milling of thin-walled parts [J].
Li, Zhou-Long ;
Tuysuz, Oguzhan ;
Zhu, Li-Min ;
Altintas, Yusuf .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2018, 128 :21-32
[10]   Improved dynamic cutting force model in peripheral milling part I: Theoretical model and simulation [J].
Liu, XW ;
Cheng, K ;
Webb, D ;
Luo, XC .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2002, 20 (09) :631-638