TSS Membership Community

Journal of Thermal Spray Technology Editor-in-Chief André McDonald recently announced this year's Editor's Choice articles, showcasing six of the high-quality articles that were published in the journal in 2024. They are free to read and can be shared with your colleagues.

• "A Machine Learning Approach for Analyzing Residual Stress Distribution in Cold Spray Coatings" by Rosa Huaraca Aparco, Fidelia Tapia-Tadeo, Yajhayda Bellido Ascarza, Alexis León Ramírez, Yersi-Luis Huamán-Romaní, and Calixto Cañari Otero
• "Enhancing Mechanical Behavior Assessment in Porous Thermal Barrier Coatings using a Machine Learning Fine-Tuned with Genetic Algorithm" by Ahmed A. H. Alkurdi, Hani K. Al-Mohair, Paul Rodrigues, Marwa Alazzawi, M. K. Sharma, and Atheer Y. Oudah
• "Real-Time Thermal Spray Process Monitoring Using Convolution Neural Network Deep Learning Architectures" by Konstantina Malamousi, Konstantinos Delibasis, and Spyros Kamnis
• "Desktop Manufacturing of Plasma-Sprayed Coating and Computational Estimation of its Mechanical Properties" by Riddhi Joshi, Benjamin Boesl, Arvind Agarwal, and Tony Thomas
• "Prediction of Geometry-Induced Porosity in Cold Spray Additive Manufacturing of Leading Edges" by Isaac M. Nault, Marius Ellingsen, and Aaron Nardi
• "A Three-Dimensional Damaged Region Contour Extraction Approach for Cold Spray Repair" by Fei Huang, Wenbo Li, Rija Nirina Raoelison, Christophe Verdy, Hanlin Liao, and Sihao Deng

We hope you enjoy reading these articles, and we extend our congratulations to the authors of these high-quality papers!

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Emily Glorioso
ASM Employee
ASM International
Novelty OH
(440) 338-5151
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