About this Abstract |
| Meeting |
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
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| Symposium
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2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
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| Presentation Title |
Prediction of Thermal Histories in Thin-Walled Aluminum WAAM Structures Using a Data-Driven Heat Input Model |
| Author(s) |
Masayuki Matsuura, Shigeru Aoki, Kuniaki Koike, Tomoe Yamaguchi, Sakufu Ko, Yuka Yamagata |
| On-Site Speaker (Planned) |
Masayuki Matsuura |
| Abstract Scope |
Wire arc additive manufacturing (WAAM) has the potential to reduce cost and lead time in the fabrication of large thin-walled aluminum structures. However, distortion and buckling caused by process-induced thermal histories remain major challenges. In this study, a simulation framework is proposed to predict the thermal history and thermal distortion of large thin-walled aluminum WAAM builds. A data-driven model is developed to estimate effective heat input from process parameters using thermal history data obtained from small-scale test pieces. The estimated heat input is then applied in thermal analyses of large-scale builds, and the simulation results are compared with experimental results to assess the proposed approach. This framework provides a basis for future inverse design and optimization of reinforcement structures. |
| Proceedings Inclusion? |
Undecided |