A comprehensive study on the effects of surface post-processing on fatigue performance of additively manufactured AlSi10Mg: An augmented machine learning perspective on experimental observations-Reference-Cited by-同舟云学术

A comprehensive study on the effects of surface post-processing on fatigue performance of additively manufactured AlSi10Mg: An augmented machine learning perspective on experimental observations

Published:2024-04 Issue: Volume:86 Page:104179
ISSN:2214-8604
Container-title:Additive Manufacturing
language:en
Short-container-title:Additive Manufacturing

Author:

Maleki Erfan,Shamsaei Nima^ORCID

Funder

Karabük Üniversitesi

National Institute of Standards and Technology

Publisher

Elsevier BV

Reference84 articles.

1. Additive manufacturing of metallic components – process, structure and properties;DebRoy;Prog. Mater. Sci.,2018

2. Application of artificial intelligence to optimize the process parameters effects on tensile properties of Ti-6Al-4V fabricated by laser powder-bed fusion;Maleki;Int. J. Mech. Mater. Des.,2022

3. Robust Metal Additive Manufacturing Process Selection and Development for Aerospace Components;Gradl;J. Mater. Eng. Perform.,2022

4. Feature-based volumetric defect classification in metal additive manufacturing;Poudel;Nat. Commun.,2022

5. Defects as a root cause of fatigue weakening of additively manufactured AlSi10Mg components;Ferro;Theor. Appl. Fract. Mech.,2020

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