Key ingredients for improving process quality at high-level cyber-physical robot grinding systems
Journal
IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Journal Volume
2020-July
Pages
1184-1189
Date Issued
2020
Author(s)
Abstract
Industrial robots have been applied in labor-intensive and high-risk jobs such as grinding, polishing, deburring, etc. However, traditional robotic manufacturing systems require skillful experts to advise the robot programming for controlling manufacturing efficiency and quality. Based on the level of automation, an advanced cyber-physical robot grinding system has been developed to increase efficiency, improve quality, and save human effort. The proposed system consists of robot trajectory generation and optimization, force-based trajectory modification, vision-based grinding machine localization, and acoustic emission based abrasive belt wear-life analysis. Compared with traditional robot tuning processes, the process quality of the proposed system is better than that, and the tuning time is shortened from 14 days to 1-2 days. ? 2020 IEEE.
Subjects
Abrasive belts; Acoustic emission testing; Cyber Physical System; Deburring; Efficiency; Grinding (machining); Grinding machines; Industrial robots; Intelligent mechatronics; Quality control; Robot programming; Cyber physicals; Labor intensive; Level of automations; Manufacturing efficiency; Process quality; Robot trajectory generations; Trajectory modification; Vision based; Social robots
SDGs
Type
conference paper