Optimizing Time-Constrained Multi-Objective Process Parameters for Thin-Walled Maraging Steels Manufactured by Laser Powder Bed Fusion (LPBF)

• Autorzy: Song Yeo-Ul , Song Byeong Uk , Choi Joon Phil , Jung Min-Kyo , Ha Taeho , Lee Pil-Ho

Identyfikatory

DOI

10.24425/amm.2024.149753

• Języki publikacji: EN

Abstrakty

EN

Additive manufacturing is an innovative manufacturing process that enables complex topological structures and low-volume, high-variety production. One of the major adaptations of this method is in the tire industry. Thin-walled sipes slit the tires to improve drainage and traction. The material properties of thin-walled structures manufactured by additive manufacturing are different and more sensitive than those of conventional cube-shaped specimens. Thin-walled maraging steel specimens are considered to be able to model the relationship between the process parameters and the properties of the sipes adequately. Tire sipes are made of maraging steel. Maraging steels are a class of low-carbon high-alloy martensitic steel generally providing high strength, ductility, and good fracture toughness. In particular, these alloys exhibit a good combination of strength and toughness at elevated temperatures, which has been desirable for applications in aerospace and tooling. In order to consider productivity, multi-objective process parameter optimization with a build-time-constrained model is proposed.

Słowa kluczowe

EN

additive manufacturing; machine learning; multi-objective optimization; LPBF; Laser Powder Bed Fusion

• Wydawca: Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences
• Czasopismo: Archives of Metallurgy and Materials
• Rocznik: 2024
• Tom: Vol. 69, iss. 2
• Strony: 395--400
• Opis fizyczny: Bibliogr. 15 poz., fot., rys., tab., wzory

Twórcy

autor

Song Yeo-Ul

• Korea Institute of Machinery & Materials, Department of Industrial Machinery DX, 156 Gajeongbuk-Ro, Yuseong-Gu, Daejeon 34103, Republic of Korea

• https://orcid.org/0009-0008-1713-8707

autor

Song Byeong Uk

• KAIST, Republic of Korea

• https://orcid.org/0009-0009-4647-6577

autor

Choi Joon Phil

• Korea Institute of Machinery & Materials, Department of 3D Printing, 156 Gajeongbuk-Ro, Yuseong-Gu, Daejeon 34103, Republic of Korea

• https://orcid.org/0000-0002-8136-5268

autor

Jung Min-Kyo

• Korea Institute of Machinery & Materials, Department of 3D Printing, 156 Gajeongbuk-Ro, Yuseong-Gu, Daejeon 34103, Republic of Korea

• https://orcid.org/0009-0002-7852-1319

autor

Ha Taeho

• Korea Institute of Machinery & Materials, Department of 3D Printing, 156 Gajeongbuk-Ro, Yuseong-Gu, Daejeon 34103, Republic of Korea

• https://orcid.org/0000-0001-9957-3826

autor

Lee Pil-Ho

• Korea Institute of Machinery & Materials, Department of 3D Printing, 156 Gajeongbuk-Ro, Yuseong-Gu, Daejeon 34103, Republic of Korea

• https://orcid.org/0000-0003-4549-5900

Bibliografia

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Uwagi

This research was supported by a grant of the Basic Research Program funded by the Korea Institute of Machinery and Materials (grant No. NK248I) and the framework of international cooperation program managed by the National Research Foundation of Korea (NRF-2022K1A3A1A61015007).