TY - JOUR
T1 - Preprocessor with spline interpolation for converting stereolithography into cutter location source data
AU - Nagata, Fusaomi
AU - Okada, Yudai
AU - Sakamoto, Tatsuhiko
AU - Kusano, Takamasa
AU - Habib, Maki K.
AU - Watanabe, Keigo
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2017/6/13
Y1 - 2017/6/13
N2 - 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.
AB - 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.
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U2 - 10.1088/1755-1315/69/1/012115
DO - 10.1088/1755-1315/69/1/012115
M3 - Conference article
AN - SCOPUS:85021795848
SN - 1755-1307
VL - 69
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012115
T2 - 2017 3rd International Conference on Advances in Energy, Environment and Chemical Engineering, AEECE 2017
Y2 - 26 May 2017 through 28 May 2017
ER -