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Research and Development of Simulation System for Industrial Robot Stamping Automation Production Line Based on Virtual Reality

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1283))

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Abstract

With the increasing demand for automation of production lines, robots are increasingly used in industrial production, making robot production line simulation technology a hot research topic. The virtual test run system of the robot is based on the layout plan of the robot production line to carry out three-dimensional visual simulation of the production line, to verify the rationality of the layout plan, and to avoid unnecessary losses caused by blind production. However, the current research on simulation software is lacking, so the research of robot virtual trial operation system has important significance for domestic industrial development. The purpose of this paper is to use the virtual prototype to solve the problems in the design stage before manufacturing the physical prototype of the stamped product, and contribute to the research of the robotic stamping automation production line. This paper is mainly based on the advantages of high flexibility of robot stamping production line, low mold requirements, simple programming of new workpieces, virtual prototyping technology, computer science and other disciplines, physical simulation, full simulation, and finally the same physical prototype test production method.

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Authors and Affiliations

  1. College of Mechanical Engineering, Jilin Engineering Normal University, Changchun, 130052, Jilin, China

    Songqing Liu & Ying Chen

Authors
  1. Songqing Liu
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  2. Ying Chen
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Corresponding author

Correspondence to Songqing Liu .

Editor information

Editors and Affiliations

  1. David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

    John MacIntyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, Guangdong, China

    Xiaomeng Ma

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Liu, S., Chen, Y. (2021). Research and Development of Simulation System for Industrial Robot Stamping Automation Production Line Based on Virtual Reality. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_54

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