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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 <span class="search-highlight">Machine</span> <span class="search-highlight">Learning</span> Framework for Melt-Pool Geometry Prediction and Process Parameter Optimization in the Laser Powder-Bed Fusion Process
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Topics: Errors, Geometry, Lasers, Machine learning, Optimization, Porosity, Modeling, Sensitivity analysis
Includes: Supplementary data
Journal Articles

Machine Learning for Predicting the Critical Yield Stress of High Entropy Alloys

Pau Cutrina Vilalta, Somayyeh Sheikholeslami, Katerine Saleme Ruiz, Xin C. Yee, Marisol Koslowski
Journal: Journal of Engineering Materials and Technology
Publisher: ASME
Article Type: Research Papers
J. Eng. Mater. Technol. April 2021, 143(2): 021005.
Paper No: MATS-20-1115
https://doi.org/10.1115/1.4048873
Published Online: November 19, 2020
...Pau Cutrina Vilalta; Somayyeh Sheikholeslami; Katerine Saleme Ruiz; Xin C. Yee; Marisol Koslowski We applied machine learning models to predict the relationship between the yield stress and the stacking fault energies landscape in high entropy alloys. The data for learning in this work were taken...
View Article titled, <span class="search-highlight">Machine</span> <span class="search-highlight">Learning</span> for Predicting the Critical Yield Stress of High Entropy Alloys
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Topics: Alloys, Dislocations, Entropy, Machine learning, Yield stress, Errors, Dimensions, Engineering simulation, Simulation