Journal article
Advancing Additive Manufacturing Through Machine Learning Techniques: A State-of-the-Art Review
Future internet, Vol.16(11), 419
11/13/2024
DOI: 10.3390/fi16110419
Abstract
In the fourth industrial revolution, artificial intelligence and machine learning (ML) have increasingly been applied to manufacturing, particularly additive manufacturing (AM), to enhance processes and production. This study provides a comprehensive review of the state-of-the-art achievements in this domain, highlighting not only the widely discussed supervised learning but also the emerging applications of semi-supervised learning and reinforcement learning. These advanced ML techniques have recently gained significant attention for their potential to further optimize and automate AM processes. The review aims to offer insights into various ML technologies employed in current research projects and to promote the diverse applications of ML in AM. By exploring the latest advancements and trends, this study seeks to foster a deeper understanding of ML’s transformative role in AM, paving the way for future innovations and improvements in manufacturing practices.
Details
- Title: Subtitle
- Advancing Additive Manufacturing Through Machine Learning Techniques: A State-of-the-Art Review
- Creators
- Shaoping Xiao - University of IowaJunchao Li - University of IowaZhaoan Wang - University of IowaYingbin Chen - University of IowaSoheyla Tofighi - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Future internet, Vol.16(11), 419
- Publisher
- MDPI
- DOI
- 10.3390/fi16110419
- ISSN
- 1999-5903
- eISSN
- 1999-5903
- Grant note
- U.S. Department of Education
This research was funded by the U.S. Department of Education with grant number #P116S210005.
- Language
- English
- Date published
- 11/13/2024
- Academic Unit
- Mechanical Engineering; Iowa Technology Institute
- Record Identifier
- 9984749831502771
Metrics
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