Abstract
In industry, worn cuttings tools are either discarded or recycled. However, recycling is a very energy intensive process. Reconditioning is an alternative option that could repair a tool to extend its life. This paper proposes a novel laser reconditioning and reshaping (LRaR) method which integrates computer vision, machine vision and path planning with laser machining. The identification of flank wear using computer vision determines if reconditioning is required. The size of wear and tool shape are then used to produce a customised laser repair strategy. The proposed method is demonstrated successfully on a worn tungsten carbide (WC) turning insert.
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