Digital Twin för designad prestanda för belagda skärverktyg
- Diarienummer
- ID22-0079
- Projektledare
- Bushlya, Volodymyr
- Start- och slutdatum
- 230101-271231
- Beviljat belopp
- 2 500 000 kr
- Förvaltande organisation
- Lund University
- Forskningsområde
- Materialvetenskap och materialteknologier
Summary
The proposed industrial doctorate project will take a radical step to establish a Digital Twin bridging material design, properties and machining performance of materials and tools for metal cutting processes. In particular, the focus is set on interrupted cutting (milling) of difficult to machine materials. The research work will be conducted in close cooperation between the department of mechanical engineering sciences at Lund University and the R&D Material development department at Seco Tools in Fagersta. To address the lack of robust process analysis methodologies already available for continuous cutting processes, the proposed research will focus on the following objectives: - Develop a characterization framework for capturing the impact of tool material design (microstructure variation, coating, post-treatment) and its evolution over tooling lifetime. - Develop new in-process methodologies tailored to interrupted cutting for quantification of tool loads (mechanical, thermal, chemical), to be further used as boundary conditions for subsequent modelling. - Develop novel and connect existing models needed to build a robust linkage between properties and performance. The results from this research work will provide the necessary means to establish an integrated Digital Twin of cutting tools and tool materials that will facilitate the development and implementation of sustainable tooling solutions to achieve a predictable and sustainable machining performance.
Populärvetenskaplig beskrivning
Seco Tools AB is part of Sandvik Machining Solutions (SMS), a business area of the Sandvik Group, holding a world leading position in the metal cutting tool industry sector with a world market share of 35%: Seco plays also an important role in the Swedish manufacturing sector where the demands for increased productivity requires the development of high performance products and advanced metal cutting solutions for a more efficient component manufacture. In order to meet these challenges and remain competitive on the market, robust knowledge-based competence platforms are needed for developing new cutting tool geometries and coated cemented carbide materials. In the latter, the optimisation of a particular material design and synthesis route for the cemented carbide and coating material remains a crucial step that often determines the mechanical properties and machining performance of the final product. The proposed research represents an important step in this direction where accordingly a competence platform bridging computational modelling, advanced “in-process” material characterisation and machine learning will be developed for studying in details the impact of material design on cutting behaviour, tool degradation properties of coated tool materials and their link to machining performance in interrupted cutting. The research work will be carried out at the department of Mechanical Engineering Sciences at Lund University and will also leverage on the proximity to large scale infrastructure such as MAX IV facility for industrial utilisation of synchrotron based radiation techniques to complement a wide range of available material characterisation methods.