Chip evacuation force modelling for deep hole drilling with twist drills

被引:19
作者
Han, Ce [1 ]
Zhang, Dinghua [1 ]
Luo, Ming [1 ]
Wu, Baohai [1 ]
机构
[1] Northwestern Polytech Univ, Minist Educ, Key Lab Contemporary Design & Integrated Mfg Tech, Xian 710072, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Deep hole drilling; Chip evacuation; Drilling depth; Twist drill; Force; TOOL BREAKAGE; PREDICTION; TIME; PERFORMANCE; IMPROVEMENT; STABILITY; SYSTEM; WEAR; LIFE;
D O I
10.1007/s00170-018-2488-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Chip evacuation is the main difficulty of deep hole drilling process. For deep hole drilling with large depth-to-diameter ratio over 10, drilling force increases significantly with the drilling depth due to the friction and pressure reaction between the continuing generated chips and the drill flutes as well as the hole wall. In practical deep hole drilling process, overlarge drilling depth will cause drill breakage due to the low rigidity of the deep-hole twist drill, while using too small drilling depth is inefficient. The existing methods for drilling depth optimization are still faced with troubles, including lack of prior knowledge input of the monitoring method and difficult to measure or calibrate model parameters of the prediction model. To overcome these problems, a novel and practical chip evacuation force model for deep hole drilling is developed in this paper. Firstly, the chip evacuation forces in deep hole drilling are derived based on the elemental chip flow method, with the expression including three chip evacuation force coefficients for the practicability of the model. Then, the chip evacuation force coefficients are calibrated in a set of drilling tests under different cutting parameters, and the relations between chip evacuation force coefficients and cutting parameters are investigated with range analysis and analysis of variance. Finally, validation experiment results show that the proposed chip evacuation force model is able to predict the drilling force with increasing drilling depth in deep hole drilling, and the maximum drilling depth can be obtained accurately with the error less than 3%.
引用
收藏
页码:3091 / 3103
页数:13
相关论文
共 38 条
[31]   Artificial neural network based tool condition monitoring in micro mechanical peck drilling using thrust force signals [J].
Patra, K. ;
Jha, A. K. ;
Szalay, T. ;
Ranjan, J. ;
Monostori, L. .
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2017, 48 :279-291
[32]   A computer assistant for monitoring tool performance during the drilling process [J].
Portillo, E. ;
Cabanes, I. ;
Sanchez, J. A. ;
Orive, D. ;
Ortega, N. ;
Marcos, M. .
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2012, 25 (09) :829-838
[33]   Modeling of forces for drills with chip-breaking grooves [J].
Sahu, SK ;
DeVor, RE ;
Kapoor, SG .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2004, 126 (03) :555-564
[34]   A time-space discretization method in milling stability prediction of thin-walled component [J].
Song, Qinghua ;
Shi, Jiahao ;
Liu, Zhanqiang ;
Wan, Yi .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 89 (9-12) :2675-2689
[35]   Amplitude demodulation of the induction motor current for the tool breakage detection in drilling operations [J].
Tarng, YS ;
Lee, BY .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 1999, 15 (04) :313-318
[36]   Study on the predicted model and experiment of drilling forces in drilling Ti6Al4V [J].
Wu, Jian ;
Wen, Jianmin ;
Wang, Ziyue .
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2016, 38 (02) :465-472
[37]   A novel approach to machining condition monitoring of deep hole boring [J].
Xiao, Wenrong ;
Zi, Yanyang ;
Chen, Binqiang ;
Li, Bing ;
He, Zhengjia .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2014, 77 :27-33
[38]   Effects of tool orientation and surface curvature on surface integrity in ball end milling of TC17 [J].
Yao, Changfeng ;
Tan, Liang ;
Yang, Pan ;
Zhang, Dinghua .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 94 (5-8) :1699-1710