Prediction of cutting forces in flank milling of parts with non-developable ruled surfaces

被引:0
作者
Liping WANG [1 ]
Hao SI [1 ]
Liheng GU [1 ,2 ]
机构
[1] Department of Mechanical Engineering,Tsinghua University
[2] Beijing Beiyi Machine Tool Co Ltd
关键词
Chip thickness; Cutting force; Five-axis flank milling; Machining; Ruled surface;
D O I
暂无
中图分类号
V261.23 []; TG54 [铣削加工及铣床];
学科分类号
082503 ; 080201 ; 080503 ;
摘要
Predicting the cutting forces required for five-axis flank milling is a challenging task due to the difficulties involved in determining the Undeformed Chip Thickness(UCT) and CutterWorkpiece Engagement(CWE). To solve these problems, this paper presents a new mechanistic cutting force model based on the geometrical analysis of a flank milling process. In the model,the part feature and corresponding cutting location data are taken as input information. The UCT considering cutter runout is calculated according to the instantaneous feed rate of the element cutting edges. A solid-discrete-based method is used to precisely and efficiently identify the CWE between the end mill and the surface being machined. Then, after calibrating the specific force coef-ficients, the mechanistic milling force can be obtained. During the validation process, two practical operations, three-axis flank milling of a vertical surface and five-axis flank milling of a nondevelopable ruled surface, are conducted. Comparisons between predicted and measured cutting forces demonstrate the reliability of the proposed cutting force model.
引用
收藏
页码:1788 / 1796
页数:9
相关论文
共 50 条
[41]   Adaptive neuro fuzzy model development for prediction of cutting forces in milling with rotary tools [J].
Thellaputta, Gopala Rao ;
Raju, C. S. ;
Bose, P. S. C. ;
Rao, C. S. P. .
MATERIALS TODAY-PROCEEDINGS, 2018, 5 (02) :7429-7436
[42]   Prediction and Analysis of Cutting Forces Including the Effect of Tool Runout During End Milling [J].
Aydin, Mehmet .
JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, 2022, 25 (01) :157-167
[43]   Modeling and analysis of cutting forces in orthogonal turn-milling shaft parts with helical end mills [J].
Yan, Rong ;
Qiu, Feng ;
Peng, Fangyu ;
Zhang, Xinghong .
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2014, 42 (05) :1-5
[44]   Prediction of Surface Location Error Considering the Varying Dynamics of Thin-Walled Parts during Five-Axis Flank Milling [J].
Tang, Yuyang ;
Zhang, Jun ;
Hu, Weixin ;
Liu, Hongguang ;
Zhao, Wanhua .
PROCESSES, 2023, 11 (01)
[45]   Evaluation of Cutting Forces and Surface Integrity in Flank Milling of Heat-Resistant-Super-Alloys with Coated Cemented Carbide Tools [J].
Zhuang, Kejia ;
Zhang, Xiaoming ;
Ding, Han .
INTELLIGENT ROBOTICS AND APPLICATIONS (ICIRA 2015), PT II, 2015, 9245 :651-663
[46]   Prediction of Cutting Forces in Five-Axis Milling Using Feed Drive Current Measurements [J].
Aslan, Deniz ;
Altintas, Yusuf .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 23 (02) :833-844
[47]   Finite element method based modeling for prediction of cutting forces in micro-end milling [J].
Pratap T. ;
Patra K. .
Journal of The Institution of Engineers (India): Series C, 2017, 98 (01) :17-26
[48]   Force-induced deformation prediction and flexible error compensation strategy in flank milling of thin-walled parts [J].
Li, Weitao ;
Wang, Liping ;
Yu, Guang .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2021, 297
[49]   An analytical calculation method of instantaneous uncut chip thickness for cutting force prediction in five-axis flank milling [J].
Ge, Shuyi ;
Cheng, Jiaxin ;
Zuo, Pingqi ;
Wang, Kang ;
Zeng, Jiale .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 134 (11-12) :5253-5266
[50]   Cutting Forces and Tool Wear Investigation for Face Milling of Bimetallic Composite Parts Made of Aluminum and Cast Iron Alloys [J].
Saligheh, A. ;
Hajialimohammadi, A. ;
Abedini, V. .
INTERNATIONAL JOURNAL OF ENGINEERING, 2020, 33 (06) :1142-1148