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Journal ArticleDOI

In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes

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TLDR
A novel porosity prediction method based on the temperature distribution of the top surface of the melt pool as an AM part is being built is proposed and is able to predict the location of porosity almost 96% of the time when the appropriate SOM model using a thermal profile is selected.
Abstract
One major challenge of implementing Directed Energy Deposition (DED) Additive Manufacturing (AM) for production is the lack of understanding of its underlying process–structure–property relationshi...

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Journal ArticleDOI

Machine learning in additive manufacturing: State-of-the-art and perspectives

TL;DR: A comprehensive review on the state-of-the-art of ML applications in a variety of additive manufacturing domains can be found in this paper, where the authors provide a section summarizing the main findings from the literature and provide perspectives on some selected interesting applications.
Journal ArticleDOI

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.
Journal ArticleDOI

Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion additive manufacturing process

TL;DR: In this article, a visible-light high speed camera with a fixed field of view is used to study the morphology of L-PBF melt pools in the Inconel 718 material system.
Journal ArticleDOI

Directed energy deposition (DED) additive manufacturing: Physical characteristics, defects, challenges and applications

TL;DR: Directed energy deposition (DED) is a branch of additive manufacturing (AM) processes in which a feedstock material in the form of powder or wire is delivered to a substrate on which an energy source such as laser beam, electron beam, or plasma/electric arc is simultaneously focused, thus forming a small melt pool and continuously depositing material, layer by layer as discussed by the authors.
Journal ArticleDOI

Porosity prediction: Supervised-learning of thermal history for direct laser deposition

TL;DR: In this paper, a real-time porosity prediction method is developed using morphological characteristics of the melt pool boundary (i.e., features obtained via functional principal component analysis (FPCA)).
References
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Journal ArticleDOI

Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones

TL;DR: In this paper, the effect of the recoil pressure and Marangoni convection in laser powder bed fusion (L-PBF) of 316L stainless steel was demonstrated. And the results were validated against the experiments and the sensitivity to laser absorptivity was discussed.
Book

Computed Tomography: Principles, Design, Artifacts, and Recent Advances

Jiang Hsieh
TL;DR: Introduction Preliminaries Image Reconstruction Image Presentation Key Performance Parameters of a CT Scanner Major Components of CT scanner Image Artifacts: Appearances, Causes, and Corrections Computer Simulation and Analysis.

Computed Tomography: Principles, Design, Artifacts, and Recent Advances, Fourth Edition

Jiang Hsieh
TL;DR: Introduction Preliminaries Image Reconstruction Image Presentation Key Performance Parameters of a CT Scanner Major Components of CT scanner Image Artifacts: Appearances, Causes, and Corrections Computer Simulation and Analysis.
Journal ArticleDOI

Steady state columnar and equiaxed growth of dendrites and eutectic

TL;DR: In this article, an analysis for the growth of equiaxed grains ahead of the columnar front during directional solidification is presented, and the model considers both single-phase and eutectic growth.
Journal ArticleDOI

An overview of Direct Laser Deposition for additive manufacturing; Part I: Transport phenomena, modeling and diagnostics

TL;DR: A detailed overview of the thermal/fluid properties inherent in the direct laser deposition (DLD) process can be found in this article, with a focus on the mechanical properties and microstructure of parts manufactured via DLD.
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