The authors have developed earlier an industrial machining robotic system for foamed polystyrene materials. The developed robotic CAM system provided a simple and effective interface without the need to use any robot language between operators and the machining robot. In this paper, a preprocessor for generating Cutter Location Source data (CLS data) from Stereolithography (STL data) is first proposed for 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 a triangular representation for a curved surface geometry. The preprocessor allows machining robots to be controlled through 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.
|Journal||IOP Conference Series: Earth and Environmental Science|
|Publication status||Published - Jun 13 2017|
|Event||2017 3rd International Conference on Advances in Energy, Environment and Chemical Engineering, AEECE 2017 - Chengdu, China|
Duration: May 26 2017 → May 28 2017
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)