Gnosjö Automatsvarvning, in collaboration with Chalmers University of Technology and other leading industrial companies, has initiated the innovative WEAR-FRAME project aimed at developing advanced models and simulation tools to streamline machining processes and tool wear.
The WEAR-FRAME project, which started in March 2021 and is expected to run until November 2024, is a continuation of previous research and aims to address the challenges arising from variations in materials within production lines. These variations, often unpredictable, create major problems for the industry including difficulties in planning tool changes and performing machining under optimal conditions.
“By being progressive, investing in development, and improving these processes, we can open up for increased productivity, streamline equipment, and create a greater competitiveness for the Swedish industry,” says Jens Ringborg, research leader at Gnosjö Automatsvarvning.
The project is funded by Vinnova and the partnership, in addition to Chalmers University of Technology and Gnosjö Automatsvarvning, includes some of Sweden’s leading companies in the automotive industry and manufacturing: Volvo, Scania CV, Seco Tools, and SKTC. These collaborations reflect the project’s importance and potential for significant advances in Swedish manufacturing industry.
The core of WEAR-FRAME is the development of a robust and versatile software platform that integrates advanced machine learning algorithms with multi-scale material and process simulations.
“This technology can provide companies with better tools for process planning, reducing the negative effects of material variations in production. It also presents new opportunities within product development and cutting data recommendations, especially for manufacturing critical components such as gears and bearings,” explains Amir Malakizadi, researcher at Chalmers University of Technology and project coordinator.
As part of the project, two students at Chalmers will be employed to do their thesis on the project during this spring.
“The students will generate data that we need in the software to determine how different materials work together with tools from various suppliers so that industrial companies, such as Gnosjö Automatsvarvning, can utilise the system and get a proactive overview of their production,” says Amir Malakizadi.
WEAR-FRAME represents an important step towards a more sustainable and efficient machining industry. With the goal of improving productivity and quality in manufacturing processes, this project marks a further step towards the Swedish industry’s endeavour to maintain and enhance its global competitiveness.
“This project is not just a technical achievement, but hopefully also leads to environmental and economic gains. It is also a good example of a successful collaboration between academia and industry,” says Linda Fransson, CEO of Gnosjö Automatsvarvning.
Contact:
Linda Fransson, CEO at Gnosjö Automatsvarvning
+46 (0) 370-33 32 51
linda@svarvning.nu
Jens Ringborg, research leader at Gnosjö Automatsvarvning
+46 (0) 370-33 32 50
jens@svarvning.nu
Amir Malakizadi, researcher at Chalmers University of Technology and project coordinator
+46 (0) 317-72 63 77
amir.malakizadi@chalmers.se