Force model for impact cutting grinding with a flexible robotic tool holder

被引:10
|
作者
Tahvilian, Amir Masoud [1 ]
Hazel, Bruce [2 ]
Rafieian, Farzad [1 ]
Liu, Zhaoheng [1 ]
Champliaud, Henri [1 ]
机构
[1] Ecole Technol Super, Dept Mech Engn, Montreal, PQ H3C 1K3, Canada
[2] IREQ, Expertise Robot & Civil, Hydroquebec Res Inst, 1800 Montee Ste Julie, Varennes, PQ J3X 1S1, Canada
关键词
Robotic grinding; Forcemodel; Impact cutting; Model identification; TEMPERATURE; DYNAMICS;
D O I
10.1007/s00170-015-7919-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Traditionally, grinding is used as a finishing process in the manufacturing chain. However, in recent years, it has been also used to machine hard or brittle materials. Another application, developed by Hydro-Qu,bec's research institute, IREQ, is robotic grinding for in situ maintenance of large hydropower equipment. This high material removal rate grinding process is performed with a flexible robot as the tool holder. In a robotic grinding process, having an accurate model to predict the process force is crucial in order to achieve the desired material removal rate. This paper presents an experimental study that breaks new ground in determining the coefficients of an existing semi-analytical force model. An impact cutting behavior has been clearly observed at various grinding power levels both with high-speed video and force-measuring equipment. The force model is based on an idealized uncut chip at each wheel impact on the surface. The number of impacts per revolution of the grinding wheel is ascertained and used to determine the coefficients of the force model. The previously determined energy partition ratios and correlated model are also used to determine the ratio of energy consumption through friction to that for chip formation. The force coefficients are then fine-tuned and updated using the energy partition model and friction-chip energy ratio for the process. The newly determined coefficients are validated through a series of tests and shown to be in good agreement with measured grinding forces. The results show that the new enhancements in determining model parameters can be used to better predict the process force, power, and depth of cut in different cutting regimes and at various grinding power levels.
引用
收藏
页码:133 / 147
页数:15
相关论文
共 50 条
  • [21] Dual flexible contact material removal model for robotic disk grinding
    Xu, grinding Bingzhou
    Zhang, Xiaojian
    Yang, Zeyuan
    Wang, Jingyun
    Yan, Sijie
    Ding, Han
    JOURNAL OF MANUFACTURING PROCESSES, 2024, 124 : 867 - 876
  • [22] A grinding force model allowing for dulling of abrasive wheel cutting grains in plunge cylindrical grinding
    P. P. Pereverzev
    D. Yu. Pimenov
    Journal of Friction and Wear, 2016, 37 : 60 - 65
  • [23] On Cutting Force Coefficient Model with Respect to Tool Geometry and Tool Wear
    Kolar, Petr
    Fojtu, Petr
    Schmitz, Tony
    43RD NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 43, 2015, 1 : 708 - 720
  • [24] Research on Cutting Force Modeling and Cutting Performance of PCD Micro Milling-grinding Combined Machining Tool
    Du, Yuchao
    Liang, Zhiqiang
    Wang, Fei
    Li, Juan
    Liu, Yuehong
    Zhao, Xu
    Su, Zhipeng
    Ma, Yue
    Chen, Rui
    Wang, Xibin
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2024, 60 (19): : 298 - 309
  • [25] A Normal Force Estimation Model for a Robotic Belt-grinding System
    Wang, Yu-Hsun
    Lo, Yuan-Chieh
    Lin, Pei-Chun
    2020 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2020, : 1922 - 1928
  • [26] Reduction in Total Production Cycle Time by the Tool Holder for the Automated Cutting Insert Quick Exchange and by the Double Cutting Tool Holder
    Vasilko, Karol
    Murcinkova, Zuzana
    JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING, 2023, 7 (03):
  • [27] Autonomous tool adjustment in robotic grinding
    Akbari, AA
    Higuchi, S
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2002, 127 (02) : 274 - 279
  • [28] Optimization of tool geometry and cutting parameters based on a predictive model of cutting force
    Zhao Jun Shandong University, Jinan 250061, China
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2008, 19 (04): : 428 - 431
  • [29] Grinding Force Model for Low-speed Grinding Based on Impact Principle
    Liu Minghe
    Zhang Xiuming
    Xiu Shichao
    ADVANCES IN ABRASIVE TECHNOLOGY XVI, 2013, 797 : 123 - 128
  • [30] INFLUENCES OF GRIT SHAPE AND CUTTING EDGE ON MATERIAL REMOVAL MECHANISM OF A SINGLE ABRASIVE IN FLEXIBLE ROBOTIC GRINDING
    Tahvilian, Amir Masoud
    Champliaud, Henri
    Liu, Zhaoheng
    Hazel, Bruce
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2013, VOL 2B, 2013,