This $496,138 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to develop an approach for optimally determining scan sequence in laser powder bed fusion (LPBF) additive manufacturing. The primary objectives are to:
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Incorporate advanced thermal effects into data-driven models to determine optimal scan sequences that can homogenize temperature distribution, reduce distortion, overheating, and residual stress in LPBF parts.
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Numerically investigate cases where thermal models alone are insufficient to adequately reduce distortion and residual stress, and introduce thermomechanical effects into the determination of optimal scan sequences.
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Validate the developed methods experimentally.
The research aims to enable 3D printing of complex metallic parts with fewer failed or defective prints, thus improving the economic viability of LPBF. The award was granted to the Regents of the University of Michigan and will run from January 1, 2025 to December 31, 2027. No subawards are planned for this project.
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