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Review on Fatigue of Additive Manufactured Metallic Alloys: Microstructure, Performance, Enhancement, and Assessment Methods

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Abstract

Additive manufacturing (AM), which is a process of building objects in a layer-upon-layer fashion from designed models, has received unprecedented attention from research and industry because it offers outstanding merits of flexibility, customization, reduced buy-to-fly ratio, and cost-effectiveness. However, the fatigue performance of safety-critical industrial components fabricated by AM is still far below that obtained from conventional methods. This review discusses the microstructural heterogeneities, randomly dispersed defects, poor surface quality, and complex residual stress generated during the AM process that can negatively impact the fatigue performance of as-printed parts. The difference in microstructural origin of fatigue failure between conventionally manufactured and printed metals is reviewed with particular attention to the effects of the trans-scale microstructures on AM fatigue failure mechanisms. Various methods for mitigating the fatigue issue, including pre-process, inter-process, and post-process treatments, are illustrated. Empirical, semi-empirical, and microstructure-sensitive models are presented to predict fatigue strength and lifetime. Summary and outlooks for future development of the fatigue performance of AM materials are provided. © 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH.
Original languageEnglish
Article number2306570
JournalAdvanced Materials
Volume36
Issue number17
Online published30 Aug 2023
DOIs
Publication statusPublished - 25 Apr 2024

Funding

H.L., H.Y., and C.G. contributed equally to this work. This work was financially supported by the Guangdong Provincial Department of Science and Technology (Key-Area Research and Development Program of Guangdong Province) under the grant 2020B090923002, Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Shenzhen Park Project (HZQB-KCZYB-2020030), Shenzhen Science and Technology Program (JCYJ20220818101204010), Research Grants Council of Hong Kong (AoE/M-402/20), Hong Kong General Research Fund (GRF) Scheme (CityU 11216219) and Hong Kong Innovation and Technology Commission via the Hong Kong Branch of National Precious Metals Material Engineering Research Center.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • additive manufacturing
  • fatigue mitigation strategy
  • fatigue performance
  • life prediction
  • process-structure-property

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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