AI-Driven Modeling and Monitoring Towards Advanced Additive Manufacturing

Dear Colleagues,

Additive manufacturing (AM) represents a transformative approach to industrial production that allows for the creation of lighter, stronger parts and systems. AM technologies show rapid and wide applications in aerospace, automotive, healthcare, and other critical industries. However, the complexity of the processes involved in AM presents challenges reagarding process reliability, quality assurance, and materials properties. Artificial Intelligence (AI) emerges as a powerful ally in addressing these challenges. AI-driven modeling and monitoring can significantly enhance the capabilities of AM through more efficient process monitoring, predictive modeling, and real-time adjustments. AI models can predict the microstructural characteristics of materials, optimize mechanical properties, and adaptively control the process parameters to minimize defects and improve the quality of the final product. Integrating AI into AM for simulation or monitoring is expected to enhance understanding of the intricate dynamics of AM processes and guarantee the mechanical/material properties of AM fabricated parts.

This Special Issue here seeks original research articles, review articles, and case studies that address the various aspects of AI-driven modeling and monitoring in additive manufacturing. Contributions may address, but are not limited to, the following topics:

• Process monitoring approaches for additive manufacturing
• Numerical or data-driven simulations of thermal/stress/strain etc.
• Advanced AI modeling for additive manufacturing applications
• Innovations in quality control and defect detection
• Mechanical/material property prediction or optimization for additive manufacturing

Dr. Zijue Tang
Dr. Shitong Peng
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.