Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-10-25
2024-09-24
Abstract—In some daily tasks such as Pick and Place or Loading and Unloading application, the Cartesian robot is requested to reach with its end-effectors to a desired target location. Such tasks become more complex if it has to handle multiple points in shortest travelling time and space. It this reason the present study was conducted with the primary objective to develop a computational intelligent system that would contribute towards encouraging a productive and quality way of material handling and processing. The objective of this paper is to optimize the performance of a Cartesian (Gantry) robot to pick hot crown gear in a quenching press machine and to place our Tray Track line pallate board by using endeffectors. In this paper where actual robot perform in an automobile industries, where some distance taken, there Achleine Software was used to perform the Cartesian Robot. But now in this replace on based the C++ programming and Matlab Software. We calculated our actual robot cycle time and estimated new cycle time to increase the productivity and increase the efficiency of industries. Index Terms—Programming, Work envelope, Pick and place movement, Cycle time, Estimation, Travel path
Cite: Pratik P Gandhi, "Performance of a Robot to Reduce Cycle Time Estimation by C++ Programming," International Journal of Mechanical Engineering and Robotics Research, Vol. 2, No. 2, pp. 341-351, April 2013.