Page 92 - ESAM-1-1
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Engineering Science in
Additive Manufacturing ML in additive manufacturing
Appendix
Appendix A: Table of reviews at the intersection of AM and AI since 2018
Review title
Year 2025
Review of machine learning applications in additive manufacturing
A review on physics-informed machine learning for process-structure-property modeling in additive manufacturing
A review on artificial intelligence-enabled mechanical analysis of 3D printed and FEM-modeled auxetic metamaterials
Physics-informed machine learning for metal additive manufacturing
Year 2024
Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system
Machine learning in solid state additive manufacturing: State-of-the-art and future perspectives
Intelligent laser-based metal additive manufacturing: A review on machine learning for process optimization and property prediction
Current Applications of Machine Learning in Additive Manufacturing: A Review on Challenges and Future Trends
Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: A review
A Critical Review of Machine Learning Methods Used in Metal Powder Bed Fusion Process to Predict Part Properties
The use of machine learning in process-structure-property modeling for material extrusion additive manufacturing: A state-of-the-art review
Machine learning-assisted in situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing
Advancements in machine learning for material design and process optimization in the field of additive manufacturing
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing
Advancing 3D Printing through Integration of Machine Learning with Algae-Based Biopolymers
Advancing 3D bioprinting through machine learning and artificial intelligence
Machine learning for predicting fatigue properties of additively manufactured materials
Experimental, Computational, and Machine Learning Methods for Prediction of Residual Stresses in Laser Additive Manufacturing: A Critical
Review
Recent innovations in laser additive manufacturing of titanium alloys
Application of machine learning in polymer additive manufacturing: A review
A comprehensive review of process planning and trajectory optimization in arc-based directed energy deposition
Review: enhancing Additive Digital Manufacturing with supervised classification machine learning algorithms
Applying machine learning to wire arc additive manufacturing: A systematic data-driven literature review
Leveraging small-scale datasets for additive manufacturing process modeling and part certifiction: Current practice and remaining gaps
Review on machine learning techniques for the assessment of the fatigue response of additively manufactured metal parts
Machine learning-driven 3D printing: A review
Optimization of 4D/3D printing via machine learning: A systematic review
Machine Learning for Additive Manufacturing of Functionally Graded Materials
Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing
Deep learning-based image segmentation for defect detection in additive manufacturing: An overview
Neural network prediction of thermal field spatiotemporal evolution during additive manufacturing: An overview
Key technologies and research progress in robotic arc additive remanufacturing
A bibliometric review on application of machine learning in additive manufacturing and practical justification
Artificial Intelligence-Augmented Additive Manufacturing: Insights on Closed-Loop 3D Printing
A review of AI for optimization of 3D printing of sustainable polymers and composites
Selective Laser Sintering of Polymers: Process Parameters, Machine Learning Approaches, and Future Directions
A critical review of process monitoring for laser-based additive manufacturing
Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review
(Cont'd...)
Volume 1 Issue 1 (2025) 25 doi: 10.36922/ESAM025040004

