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Introduction to Mechanical Engineering pp 333–348Cite as

Smart Machining System Using Preprocessor, Postprocessor, and Interpolation Techniques

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Part of the book series: Materials Forming, Machining and Tribology ((MFMT))

Abstract

The authors have developed earlier an industrial machining robotic system for foamed polystyrene materials. The developed robotic CAM system provides a simple and effective interface without the need to use any robot language between operators and the machining robot. In this chapter, a preprocessor for generating cutter location source data (CLS data) from Stereolithography (STL data) is first proposed for smart robotic machining. The preprocessor enables to control the machining robot directly using STL data without using any commercially provided CAM system. The STL deals with triangular patches representation for a curved surface geometry. The preprocessor allows the machining robot to be controlled along a zigzag or spiral path directly calculated from STL data. Then, a smart spline interpolation method is proposed and implemented for smoothing coarse CLS data. The effectiveness and potential of the developed approaches are demonstrated through experiments on actual machining and interpolation.

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Acknowledgements

This work was supported by JSPS KAKENHI Grant Number 25420232 and 16K06203.

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Authors and Affiliations

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

    Fusaomi Nagata, Koga Toshihiro, Akimasa Otsuka, Yudai Okada & Tatsuhiko Sakamoto

  2. SOLIC Co. Ltd., 80-42 Yotsuyama-Machi, Omuta, 836-0067, Japan

    Takamasa Kusano

  3. Graduate School of Natural Science and Technology, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama, 700-8530, Japan

    Keigo Watanabe

  4. American University in Cairo, AUC Avenue, 74, New Cairo, 11835, Egypt

    Maki K. Habib

Authors
  1. Fusaomi Nagata
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  2. Koga Toshihiro
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  3. Akimasa Otsuka
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  4. Yudai Okada
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  5. Tatsuhiko Sakamoto
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  6. Takamasa Kusano
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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 .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    J. Paulo Davim

Glossary

CAD

is the abbreviation of computer-aided design. Various shapes of 3D models can be easily and precisely designed and typical data formats such as Drawing Interchange Format (DXF) and Initial Graphics Exchange Specification (IGES) can be outputted from the models

CAM

is the abbreviation of computer-sided manufacturing, which includes main and post processes. The main process generates tool paths called cutter location source (CLS) data. Then, the post process further generates numerical control (NC) data according to the type of NC machine tool actually used for machining

STL

means Stereolithography which is a file format proposed by 3D systems and recently is supported by not only many CAD, CAD/CAM software but also design tools such as Photoshop and Illustrator. It is also known as Standard Triangulated Language in Japan. The STL is widely spread to the rapid prototyping mainly using a 3D printer which is a typical additive manufacturing system

Industrial robots

are automated, programmable, and flexible due to the serial link structure with five or more axes, so that they can work as skilled workers or dexterous arms. Typical applications of industrial robots include welding, painting, pick and place, palletizing, assembly, packaging and labeling, product inspection, and so on. Those tasks can be accomplished with high endurance, speed, and accuracy

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Cite this chapter

Nagata, F. et al. (2018). Smart Machining System Using Preprocessor, Postprocessor, and Interpolation Techniques. In: Davim, J. (eds) Introduction to Mechanical Engineering. Materials Forming, Machining and Tribology. Springer, Cham. https://doi.org/10.1007/978-3-319-78488-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-78488-5_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78487-8

  • Online ISBN: 978-3-319-78488-5

  • eBook Packages: EngineeringEngineering (R0)

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