Home // ICAS 2022, The Eighteenth International Conference on Autonomic and Autonomous Systems // View article
Authors:
Ganiyat Salawu
Glen Bright
Chiemela Onunka
Keywords: Automation of manufacturing process; modelling of robotic arm; simulation of results.
Abstract:
The performance of a manufacturing process and the need to increase throughput and reduce the cost of production are of the highest interest among modern manufacturers. Classical mathematical models developed were used to describe the operation of a robot during a complex pick and place task in a virtual manufacturing environment. The design parameters of the conveyor system were examined. Existing designs were studied and modeled to select the best operating speed to optimize throughput during the manufacturing system. The modeled design parameters were analyzed using MATLAB. The results were presented graphically with an optimal throughput obtained at an operating speed of 390m/seconds, operating time of 0.4seconds, and power consumption of 12700W. The operation of the robotic arm was manipulated during service to determine the angle of placement that yielded a consistent and efficient throughput during the pick and place task. Consequently, an optimal throughput was reached when setting the manipulator at an angle of 88 degrees.
Pages: 1 to 7
Copyright: Copyright (c) IARIA, 2022
Publication date: May 22, 2022
Published in: conference
ISSN: 2308-3913
ISBN: 978-1-61208-966-9
Location: Venice, Italy
Dates: from May 22, 2022 to May 26, 2022