Phase Change Analysis of Robot Laser Drilling with Accuracy Enhancement by Deep Learning

Abstract

In this investigations, heat transfer mechanism of laser drilling process is analyzed by using Matlab program 8.5. Calculations of the heat impacted zone were also done. The moving boundary condition generates phase shift and influences heat transfer during the laser drilling process. The classical approach is used to study heat conduction in solids, with modifications made to account for the boundary condition transition from Stefan to continuous heat flow. According to the suggested model, for a given laser beam intensity and pulse time, the drilling hole profiles in a certain material will be quite near to one another. Robot placement errors are complicated since there are many different sources for them, programming in the python language examined. The positioning precision of the robot is improved, and its application capabilities are increased, to reinforced machine learning. The suggested methodology offers a simple and direct method for real-time robot position modification in industrial settings during production setup or readjustment situations. a deep learning approach used to increase the operational positioning precision of an articulated robot. Approximately 300 iterations later, the placement accuracy had significantly improved.