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Keywords: laser powder-bed fusion
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Journal Articles

A Machine Learning Framework for Melt-Pool Geometry Prediction and Process Parameter Optimization in the Laser Powder-Bed Fusion Process

M. Shafiqur Rahman, Naw Safrin Sattar, Radif Uddin Ahmed, Jonathan Ciaccio, Uttam K. Chakravarty
Journal: Journal of Engineering Materials and Technology
Publisher: ASME
Article Type: Research Papers
J. Eng. Mater. Technol. October 2024, 146(4): 041006.
Paper No: MATS-24-1050
https://doi.org/10.1115/1.4065687
Published Online: August 6, 2024
...M. Shafiqur Rahman; Naw Safrin Sattar; Radif Uddin Ahmed; Jonathan Ciaccio; Uttam K. Chakravarty This study presents a cost-effective and high-precision machine learning (ML) method for predicting the melt-pool geometry and optimizing the process parameters in the laser powder-bed fusion (LPBF...
View Article titled, A Machine Learning Framework for Melt-Pool Geometry Prediction and Process Parameter Optimization in the <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span>-<span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Process
Open the PDF for A Machine Learning Framework for Melt-Pool Geometry Prediction and Process Parameter Optimization in the <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span>-<span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Process in another window
Topics: Errors, Geometry, Lasers, Machine learning, Optimization, Porosity, Modeling, Sensitivity analysis
Includes: Supplementary data