Machine Learning Based Prediction of Energy Density for Additively Manufactured AlSi10Mg Samples by Laser Powder Bed Fusion Process-Reference-Cited by-同舟云学术

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Machine Learning Based Prediction of Energy Density for Additively Manufactured AlSi10Mg Samples by Laser Powder Bed Fusion Process

Published:2023-11-23 Issue: Volume:2017-Decem Page:465-469
ISSN:
Container-title:2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI)
language:
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Author:

Bhut Shubham¹,Kumar Krishan²,Chugh Tinkle³,Sahlot Pankaj¹

Affiliation:

1. National Institute of Technology Kurukshetra,Department of Mechanical Engineering,Kurukshetra,India

2. National Institute of Technology Kurukshetra,Department of Computer Engineering,Kurukshetra,India

3. University of Exeter,Department of Computer Science,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420826/10420856/10421132.pdf?arnumber=10421132

Reference16 articles.

1. A comprehensive review on the effect of process parameters and post-process treatments on microstructure and mechanical properties of selective laser melting of AlSi10Mg

2. The Use of Additive Manufacturing in Maritime Industry

3. Review: The Impact of Metal Additive Manufacturing on the Aerospace Industry

4. Potential of additive manufacturing for upstream automotive supply chains

5. Investigation of mechanical and surface properties of additively manufactured AlSi10Mg part produced through direct metal laser sintering

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