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Smart Additive Manufacturing: Product and Process Qualification through Innovation in Design, Modeling, Monitoring, Machine Learning, Metrology, and Materials Science.

Submission deadline: 01 December 2025
Special Issue Editors
Prahalada Rao
Virginia Polytechnic Institute and State University, Blacksburg, United States
Interests:

Modeling, Monitoring, and Analytics of Metal Additive Manufacturing

Azadeh Haghighi
University of Illinois-Chicago, Chicago, United States
Interests:

smart decision-support systems, cyber manufacturing, product design

Tuhin Mukherjee
Department of Mechanical Engineering, College of Engineering, Iowa State University, Ames, IA, United States
Interests:

Metallurgy; Additive manufacturing; Welding; Numerical modeling; Machine learning; Digital twin

Special Issue Information

Achieving consistent and repeatable quality is the key to scalability of additive manufacturing (AM). This special issue focuses on novel approaches toward rapid qualification of AM products and processes. The topics of interest can potentially encompass aspects ranging from Process Innovation, Design, Digital Twins, Modeling, Monitoring, Machine Learning, Metrology (including non-destructive evaluation), and Materials Science (including testing). Contributors are urged to augment methodological rigor with practically-relevant experiments.           

Keywords
Qualification
Quality Assurance
Digital Twins
Materials Science
Machine Learning
Metrology
Monitoring
Sensing
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Materials Science in Additive Manufacturing, Electronic ISSN: 2810-9635 Published by AccScience Publishing