journal article·2025-10-28

Defect–Fatigue Correlations of Post‐processed Laser Powder Bed Fused Metallic Alloys: A Review

Kesava Surya Naga Satish Idury, Yunzhuo Lu, Alaparti Hanu Venkatesh Pavan, Vijayavarman Chakkravarthy, Nand Kishore Singh, Shiva Sekar, Stanislav Alexandrovich Evlashin, Marina Olegovna Guschina, Gleb Turichin, Ramasubramanian Lakshmi Narayan

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Abstract

Laser powder bed fusion (LPBF) is a versatile and disruptive technology for its capability to manufacture complicated geometries from virtual models and also has other advantages like elimination of complex tooling and material wastage. Despite these unique attributes, the industrial applicability of components made by LPBF is presently limited by process‐induced defects and microstructural anomalies. The reliability of LPBFed components for structural applications necessitates their satisfactory operation in both static and multiaxial loading conditions, implying fatigue performance is the primary requirement. However, the presence of inevitable surface and internal defects impose varied stress concentrations and pose serious constraints for fatigue life of LPBFed alloys. Therefore, application of various post‐processing technologies on LPBFed alloys for enhancing their fatigue life is an active area of research. Herein, state of the art in defect–fatigue correlations of post‐processed LPBFed alloys, specifically, Ti–6Al–4V, SS 316L, AlSi 10 Mg, and Inconel 718, is presented. First, the origin, classification, and quantification of defects are described. Thereafter, the characteristic nonequilibrium microstructures and metallurgical defects of these diverse LPBFed alloys are reviewed and state‐of‐the‐art post‐process treatments in engineering the microstructure and metallurgical defects are presented. Finally, how various post‐process treatments affect fatigue responses of these materials are presented.
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Research context

OpenAlex topics: Additive Manufacturing Materials and Processes · High Entropy Alloys Studies · Titanium Alloys Microstructure and Properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering Indian Institute of Technology Delhi New Delhi 110 016 India

School of Materials Science and Engineering Dalian Jiaotong University Dalian 116 028 China

Metallurgy Department BHEL Corporate R&D Division Vikasnagar Hyderabad 500 042 India

Welding and Additive Manufacturing Centre Cranfield University Bedfordshire MK43 0AL UK

School of Engineering and Applied Sciences Ahmedabad University Ahmedabad 380 009 India

Department of Mechanical Engineering Indian Institute of Technology Jammu Jammu 181 221 India

Center for Materials Technologies Skolkovo Institute of Science and Technology Moscow 121 205 Russian Federation

World‐Class Research Center “Advanced Digital Technologies” Saint Petersburg State Marine Technical University Saint Petersburg 190 121 Russian Federation

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