Tool-path optimization using neural networks

Abstract

Tool-path optimization has been applied in manyindustrial applications, including subtractive manufacturing likesdrilling and additive manufacturing likes 3D printing. Theoptimization process involves finding a time-efficient route fortools to visit all the required sites, which is often computationallyintensive. In practice, heuristics and meta-heuristics are used togenerate sub-optimal results within reasonable durations. Theaim of this work is to use artificial neural networks to yieldbetter tool-paths.