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Robotic machining from programming to process control

Zengxi Pan, Hui Zhang

Year
2008
Citations
22

Abstract

This paper presents the critical issues and methodologies to improve robotic machining performance with industrial robots. A complete solution using active force control is introduced to address various issues arouse during the robotic machining process. Programming complex contour parts without a CAD model is made easy using force control functions such as lead-through and path-learning. The problem of process control is treated with a novel methodology that consists of real-time deformation compensation for quality and controlled material removal rate (CMRR) for process efficiency. Experimental results show that higher productivity as well as better surface quality can be achieved, indicating a promising and practical use of industrial robots for machining applications that is not available at present.

Keywords

MachiningComputer scienceProcess (computing)Compensation (psychology)RobotControl engineeringIndustrial robotCADQuality (philosophy)Process control

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