A framework for the physics-based estimation of tool wear in machining process (WEAR-FRAME)

Important results from the project

Industrial data revealed stochastic wear like edge breakage and chipping, prompting development of tool condition monitoring in parallel to the physics-based models. WEAR-FRAME advanced both areas, resulting in high-impact publications, seminars, and educational outreach. An open-access platform was developed and will be further enhanced in collaboration with industry partners to support ongoing research and application in production environments.

Expected long term effects

Machining strategies adaptive to the variations in material batches, tool geometry, and process changes reduces scrap, improves quality, and lowers carbon footprint. The integrated physics-based and sensor-based data driven approaches based on WEAR-FRAME methodologies secure Sweden´s leading position in tooling and material research & development and strengthens Sweden’s role in high-end manufacturing with lower cost and energy consumption.

Approach and implementation

In collaboration with Gnosjö Automastvarvning, Scania CV, Seco Tools and Volvo group, two WPs were closely linked to data collection & testing in production lines, which were essential for defining project specifications, as well as for validating the proposed methods. In coordination with our project partners, we engaged additional collaborators such as technology provider for tool condition monitoring and material suppliers, who contributed in-kind to support the project’s objectives.