Mass reduction method for topology optimisation of a Ti6Al4V part for additive manufacturing

• Autorzy: Erőss László Dániel , Markovits Tamás

Identyfikatory

DOI

10.30657/pea.2024.30.35

• Języki publikacji: EN

Abstrakty

EN

Additive manufacturing and topology optimization provide new possibilities to produce complex parts. They can be used separately but with joint applications as a mutually reinforcing solution in component development tasks. The results obtained using the design software can be refined even further depending on the specific goal set. This paper deals with mass reduction with stiffness-based topology optimization of a structural component. The effect of different design spaces, load cases, and design parameters were examined. Then, the new part was validated with FEA simulation. After the validation, the part was prepared for 3D metal printing. Based on the research results, we present a methodology that can be used as a solution considering the software’s limitations and the development of the specific component. Applying the methodology developed in the research makes it possible to achieve mass minimization on other parts with a similar method.

Słowa kluczowe

EN

laser powder bed fusion; topology optimization; metal additive manufacturing; masss minimizing

PL

fuzja laserowa w złożu proszkowym; optymalizacja topologii; produkcja addytywna metali; minimalizacja mas

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2024
• Tom: Vol. 30, Iss. 3
• Strony: 354--360
• Opis fizyczny: Bibliogr. 27 poz,. rys., tab.

Twórcy

autor

Erőss László Dániel

• Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering

• https://orcid.org/0000-0002-3778-9792

autor

Markovits Tamás

• Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111, Budapest, Hungary

• https://orcid.org/0000-0003-4430-0112

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).