Laser Machining

Laser machining is a versatile non-contact manufacturing technique used to precisely cut and shape various materials, with current research focusing on improving efficiency and expanding its capabilities. Researchers are employing machine learning models, such as neural networks and gradient boosting algorithms, to optimize laser parameters and predict machining outcomes, reducing reliance on time-consuming experimental processes. This leads to more efficient and cost-effective manufacturing, particularly for complex geometries like those achieved through laser-based origami techniques. The resulting advancements have significant implications for diverse industries requiring precise and customized metal and ceramic fabrication.

Papers