A survey of machine learning in additive manufacturing technologies
Author:
Affiliation:
1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, China
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2023.2177740
Reference121 articles.
1. Optimization of Silicone 3D Printing with Hierarchical Machine Learning
2. Vat photopolymerization 3D printing of acid-cleavable PEG-methacrylate networks for biomaterial applications
3. Predicting the compressive strength of additively manufactured PLA‐based orthopedic bone screws: A machine learning framework
4. Simple method to construct process maps for additive manufacturing using a support vector machine
5. Application of Machine Learning Techniques to Predict the Mechanical Properties of Polyamide 2200 (PA12) in Additive Manufacturing
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