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

Reference number
Coordinator Chalmers Tekniska Högskola AB - Department of Industrial and Materials Science
Funding from Vinnova SEK 5 536 000
Project duration March 2021 - April 2025
Status Ongoing
Venture FFI - Sustainable Production

Purpose and goal

WEAR-FRAME aims to develop a generic physics-based platform (software) for modelling and simulation of tool wear in machining of case-hardening and low alloyed steels. This platform benefits from semi-analytical and Finite Element based methods for the estimation of thermo-mechanical loads on the tool as well as throughput DFT-MD and CALPHAD simulations to obtain the material inputs for tool wear estimation. The goal of this simulation-based platform is to enable the optimization and adaptation of machining processes to batch-to-batch material variations.

Expected effects and result

The WEAR-FRAME objectives target the optimization and adaptation of machining processes to material variations: 1) Availability - 10% lower lead time when introducing material in production line due to better control of material variations 2) Quality - improvement in machined and ground surface quality due to better control (15%) of tool-change & dressing intervals. 3) Performance increase (10-15%) resulting from simulation-based predictions of the tool wear; and use of optimal machining parameters (i.e. machining data); improved energy consumption and resource efficiency.

Planned approach and implementation

WEAR-FRAME consortium includes three OEMs: Scania, Volvo AB and Seco Tools, one SME: Gnosjö Automatsvarvning, one association: Skärteknikcentrum Sverige (SKTC) and two departments at Chalmers University of Technology. The project comprise of 6 work-packages: WP1: Industrial data collection and analytics, WP2: Experimental machining tests, WP3: Material Characterisation, WP4: Modelling & simulation - software integration, WP5: Demonstration, WP6: project management & dissemination. The industrial and research partners collaborate closely to achieve the project goals.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 15 November 2024

Reference number 2020-05179