Simulation and optimization of pick and place robot operation / Wan Zulhilmi Wan Ayoub
Robots are heavily used in the manufacturing industry. A robot can take a medial task done by an operator and maximize productivity by working in minimal time with maximum results [2]. This means that any mechanical failure of the robot system can result in many hours of lost production or can ge...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/67031/1/67031.pdf |
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| Summary: | Robots are heavily used in the manufacturing industry. A robot can take a medial
task done by an operator and maximize productivity by working in minimal time with
maximum results [2]. This means that any mechanical failure of the robot system can
result in many hours of lost production or can generate large amounts of scrap parts. The
joint failure is one of the cause of robot cannot operate properly and whole operation
stop. The joint failures occur due to extreme angle of movement at one or two particular
joint. Therefore, preventive maintenance is important thing in order to reduce probability
of robot failure during operation time. In this project, pick and place operation is used as
a sample of robot operation to analyze robot’s angle of movement at each joints and its
cycle time. The SCORBOT ER-5 Plus robot has been used as a model in this project.
Within this project, operation pick and place of the SCORBOT ER-5 Plus robot is
simulated using CATIA V5 R17 DMU Kinematics at different location of workcell in
order to get its cycle time and displacement angle. The result of simulation result had
been analyzed to get angle of movement at each joint of robot and it cycle time. To
accomplished this project result has being recorded and tabled. In conclusion, all the
gathering result had been analyzed and proposes the best location for place the robot in
order to get even distribution movement at each joint and the shortest cycle time for each
operation that can improve robot preventive maintenance and optimize it operation time. |
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