Autor: |
Yudai Okada, Fusaomi Nagata, Koga Toshihiro, Keigo Watanabe, Akimasa Otsuka, Takamasa Kusano, Tatsuhiko Sakamoto, Maki K. Habib |
Rok vydání: |
2018 |
Předmět: |
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Zdroj: |
Introduction to Mechanical Engineering ISBN: 9783319784878 |
DOI: |
10.1007/978-3-319-78488-5_11 |
Popis: |
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. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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