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Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo

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TLDR
In this article, an idealized molten zone and temperature-dependent grain boundary mobility are implemented in a kinetic Monte Carlo model to predict three-dimensional grain structure in additively manufactured metals.
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This article is published in Computational Materials Science.The article was published on 2017-07-01 and is currently open access. It has received 228 citations till now. The article focuses on the topics: Kinetic Monte Carlo.

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Mechanistic models for additive manufacturing of metallic components

TL;DR: In this article, the authors focus on the available mechanistic models of additive manufacturing (AM) that have been adequately validated and evaluate the functionality of AM models in understanding of the printability of commonly used AM alloys and the fabrication of functionally graded alloys.
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Metallurgy, mechanistic models and machine learning in metal printing

TL;DR: In this paper, the authors examined advances in metal printing focusing on metallurgy, as well as the use of mechanistic models and machine learning and the role they play in the expansion of the additive manufacturing of metals.
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Microstructure modelling for metallic additive manufacturing: a review

TL;DR: The microstructure of metals depends on the additive manufacturing (AM) process and the process parameters, and experimentation on different process parameters for different materials is costl... as discussed by the authors.
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Additive manufacturing of metals: Microstructure evolution and multistage control

TL;DR: In this article, the formation and binding of melt pools is studied, and a comprehensive processing map is proposed that integrates melt pool energy and geometry-related process parameters together, based on which additively manufactured microstructures are developed during and after the solidification of constituent melt pool.
References
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Journal ArticleDOI

Fiji: an open-source platform for biological-image analysis

TL;DR: Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis that facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system.
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Metal Additive Manufacturing: A Review

TL;DR: The state-of-the-art of additive manufacturing (AM) can be classified into three categories: direct digital manufacturing, free-form fabrication, or 3D printing as discussed by the authors.
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The metallurgy and processing science of metal additive manufacturing

TL;DR: In this article, a review of additive manufacturing (AM) techniques for producing metal parts are explored, with a focus on the science of metal AM: processing defects, heat transfer, solidification, solid-state precipitation, mechanical properties and post-processing metallurgy.
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Consolidation phenomena in laser and powder-bed based layered manufacturing

TL;DR: In this article, the authors describe which types of laser-induced consolidation can be applied to what type of material, and demonstrate that although SLS/SLM can process polymers, metals, ceramics and composites, quite some limitations and problems cause the palette of applicable materials still to be limited.
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Anisotropic tensile behavior of Ti-6Al-4V components fabricated with directed energy deposition additive manufacturing

TL;DR: In this article, the authors investigated the anisotropic mechanical properties of a Ti-6Al-4V three-dimensional cruciform component fabricated using a directed energy deposition additive manufacturing (AM) process.
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