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Machine learning for advancing laser powder bed fusion of stainless steel

  • Published:2024-05 Issue: Volume:30 Page:4986-5016
  • ISSN:2238-7854
  • Container-title:Journal of Materials Research and Technology
  • language:en
  • Short-container-title:Journal of Materials Research and Technology

Author:

Abd-Elaziem Walaa,Elkatatny Sally,Sebaey Tamer A.,Darwish Moustafa A.,Abd El-Baky Marwa A.,hamada Atef

Funder

Finnish Cultural Foundation

Northwestern University

Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign

Prince Sultan University

Publisher

Elsevier BV

Reference198 articles.

1. Predictive manufacturability assessment system for laser powder bed fusion based on a hybrid machine learning model;Zhang;Addit Manuf,2021

2. Towards an integrative big data analysis framework for data-driven risk management in industry 4.0;Niesen,2016

3. Electronics | Free Full-Text | A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications, (n.d.). https://www.mdpi.com/2079-9292/10/7/828 (accessed July 18, 2023).

4. From technological development to social advance: a review of Industry 4.0 through machine learning;Lee;Technol Forecast Soc Change,2021

5. Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context: a business model proposal;Nascimento;J Manuf Technol Manag,2018

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