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• W2896813929 startingPage "1245" @default.
• W2896813929 abstract "Purpose Additive manufacturing (AM) is revolutionizing the manufacturing industry due to several advantages and capabilities, including use of rapid prototyping, fabrication of complex geometries, reduction of product development cycles and minimization of material waste. As metal AM becomes increasingly popular for aerospace and defense original equipment manufacturers (OEMs), a major barrier that remains is rapid qualification of components. Several potential defects (such as porosity, residual stress and microstructural inhomogeneity) occur during layer-by-layer processing. Current methods to qualify AM parts heavily rely on experimental testing, which is economically inefficient and technically insufficient to comprehensively evaluate components. Approaches for high fidelity qualification of AM parts are necessary. Design/methodology/approach This review summarizes the existing powder-based fusion computational models and their feasibility in AM processes through discrete aspects, including process and microstructure modeling. Findings Current progresses and challenges in high fidelity modeling of AM processes are presented. Originality/value Potential opportunities are discussed toward high-level assurance of AM component quality through a comprehensive computational tool." @default.
• W2896813929 created "2018-10-26" @default.
• W2896813929 creator A5000655355 @default.
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• W2896813929 date "2018-10-23" @default.
• W2896813929 modified "2023-10-15" @default.
• W2896813929 title "A review of computational modeling in powder-based additive manufacturing for metallic part qualification" @default.
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• W2896813929 doi "https://doi.org/10.1108/rpj-04-2017-0058" @default.
• W2896813929 hasPublicationYear "2018" @default.
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