Multiscale Fatigue Mechanisms and Life Prediction in Additive Manufactured Materials

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 90

Special Issue Editors


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Guest Editor
Department of Mechanical, Manufacturing & Biomedical Engineering, Trinity College Dublin (TCD), The University of Dublin, Dublin, Ireland
Interests: additive manufacturing; novel advanced manufacturing methods; thermo-mechanical modelling; X-ray diffraction measurement; residual stress
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School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Interests: additive manufacturing; advanced manufacturing; hybrid additive/subtractive manufacturing; ultra-precision machining
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Guest Editor
School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an 710072, China
Interests: computational solid mechanics; plasticity; creep-fatigue at high temperature; additive manufacturing; micromechanics of fatigue; miniature specimen testing; finite element analysis
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Special Issue Information

Dear Colleagues,

Additive manufacturing (AM) enables the fabrication of complex geometries and customised bespoke components, but the fatigue behaviour of AM materials remains a major challenge for their use in safety-critical applications. Process-driven features such as heterogeneous microstructures, defects, surface roughness, and residual stresses significantly influence fatigue initiation, crack growth, and life prediction. Although significant progress has been made in advancing characterisation, modelling, and data-driven methods to improve the understanding of these effects, key uncertainties remain in linking the AM process and mechanisms to fatigue performance.

This Special Issue highlights recent advances in fatigue behaviour and life estimation of AM materials. We welcome contributions involving experimental studies, numerical simulations, theoretical developments, and performance-enhancing strategies aimed at improving fatigue reliability across diverse AM processes and applications.

Dr. Wenyou Zhang
Dr. Yuchao Bai
Prof. Dr. Ming Li
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • additive manufacturing
  • fatigue behaviour
  • fatigue life estimation
  • defect control
  • residual stress
  • microstructure
  • surface roughness
  • process–structure–property relationships
  • fatigue modelling and simulation
  • structural integrity

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Published Papers

This special issue is now open for submission.
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