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Viewer, converter and preprocessor for smart machining process using an industrial robot

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Abstract

In this paper, viewer and converter softwares are presented for smart machining process using an industrial robot. The viewers for NC, CLS, DXF and STL files illustrate their surface representation with normal direction vectors. For example, the DXF is a data format developed by Autodesk to realize data interoperability among different makers’ CAD systems. The STL means Stereolithography which is a file format proposed by 3D Systems and recently is supported by many design tools and CAD/CAM softwares. In addition, the converters for DXF and STL files generate the corresponding CLS files with normal direction vectors for machining. Further, the proposed preprocessor allows the developed machining robot to work based on information included in STL files. The convenience and user-friendliness of the proposed integrated system are confirmed through experiments of viewing, converting and machining.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Tokyo University of Science, Yamaguchi, 1-1-1 Daigaku-Dori, Sanyo-Onoda, 756-0884, Japan

    Fusaomi Nagata, Kazuhiro Takeshita, Shingo Yoshimoto, Akira Yoshinaga, Shingo Kurita & Akimasa Otsuka

  2. Okayama University, Okayama, 3-1-1 Tsushima-naka, Kita-ku, 700-8530, Japan

    Keigo Watanabe

  3. American University in Cairo, 113, Kasr El Eini St, P.O. Box 2511, Cairo, 11511, Egypt

    Maki K. Habib

Authors
  1. Fusaomi Nagata
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  2. Kazuhiro Takeshita
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  3. Shingo Yoshimoto
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  4. Akira Yoshinaga
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  5. Shingo Kurita
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  6. Akimasa Otsuka
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  7. Keigo Watanabe
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  8. Maki K. Habib
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Corresponding author

Correspondence to Fusaomi Nagata.

Additional information

This work was presented in part at the 21st International Symposium on Artificial Life and Robotics, Beppu, Oita, January 20–22, 2016.

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Nagata, F., Takeshita, K., Yoshimoto, S. et al. Viewer, converter and preprocessor for smart machining process using an industrial robot. Artif Life Robotics 21, 332–337 (2016). https://doi.org/10.1007/s10015-016-0280-y

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  • DOI: https://doi.org/10.1007/s10015-016-0280-y

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