Machining process model based on virtual reality environment

被引:0
|
作者
Tai-yong Wang
Wen-jin Wang
Wen-ying Wang
Sheng-bo Fan
Jun Luo
机构
[1] Tianjin University,School of Mechanical Engineering
[2] Tianjin University of Science and Technology,College of Mechanical Engineering
关键词
virtual manufacturing environment; NC graphics verification; artificial neural network; tool wear estimation model; cutting force prediction model; TG519.1; TP391.73;
D O I
暂无
中图分类号
学科分类号
摘要
Virtual manufacturing is fast becoming an affordable technology with wide-ranging applications in modern manufacturing. Its advantages over existing technology are primarily that users can visualize, feel involvement and interact with virtual representations of real world activities in real time. In this paper, a virtual cutting system is built which can simulate turning process, estimate tool wear and cutting force using artificial neural network etc. Using the simulated machining environment in virtual reality (VR), the user can practise and preview the operations for possible problems that might occur during implementation. This approach enables designers to evaluate and design feasible machining processes in a consistent manner as early as possible during the development process.
引用
收藏
页码:34 / 40
页数:6
相关论文
共 50 条
  • [21] Virtual machining environment - GMPS
    Xiao, TY
    Han, XG
    Yang, G
    ETFA '96 - 1996 IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, PROCEEDINGS, VOLS 1 AND 2, 1996, : 167 - 171
  • [22] In-Process Identification of the Cutting Force Coefficients in Milling based on a Virtual Machining Model
    Kang, Guseon
    Kim, Jaehyeok
    Choi, Youngjae
    Lee, Dong Yoon
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2022, 23 (08) : 839 - 851
  • [23] In-Process Identification of the Cutting Force Coefficients in Milling based on a Virtual Machining Model
    Guseon Kang
    Jaehyeok Kim
    Youngjae Choi
    Dong Yoon Lee
    International Journal of Precision Engineering and Manufacturing, 2022, 23 : 839 - 851
  • [24] Possibility analysis of danger factors visualization in the construction environment based on Virtual Reality Model
    Klempous, Ryszard
    Kluwak, Konrad
    Idzikowski, Radoslaw
    Nowobilski, Tomasz
    Zamojski, Tomasz
    2017 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS (COGINFOCOM), 2017, : 363 - 367
  • [25] A Virtual Reality Based Simulation Environment for Orthopedic Surgery
    Cecil, J.
    Ramanathan, P.
    Pirela-Cruz, Miguel
    Kumar, M. Bharathi Raj
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2014 WORKSHOPS, 2014, 8842 : 275 - 285
  • [26] Development of a Virtual Reality-Based Environment for Telerehabilitation
    Covaciu, Florin
    Vaida, Calin
    Gherman, Bogdan
    Pisla, Adrian
    Tucan, Paul
    Pisla, Doina
    Applied Sciences (Switzerland), 2024, 14 (24):
  • [27] Modeling Virtual Reality Environment Based on SFM Method
    Wang, Jiwu
    Li, Chenyang
    Yi, Shijie
    Li, Zixin
    JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE, 2019, 6 (03): : 179 - 182
  • [28] Virtual Reality Environment Based Cognitive Rehabilitation System
    Yu, Sunjin
    Choi, Kwontaeg
    ADVANCED SCIENCE LETTERS, 2018, 24 (03) : 1970 - 1973
  • [29] Development of Web-based Virtual Training Environment for Machining
    Yang, Zhixin
    Wong, S. F.
    ISCM II AND EPMESC XII, PTS 1 AND 2, 2010, 1233 : 1285 - 1290
  • [30] Thinning trainer based on forest-growth model, virtual reality and computer-aided virtual environment
    Fabrika, Marek
    Valent, Peter
    Scheer, Lubomir
    ENVIRONMENTAL MODELLING & SOFTWARE, 2018, 100 : 11 - 23