Journal ArticleDOI
In-process Monitoring of Selective Laser Melting: Spatial Detection of Defects via Image Data Analysis
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This article is published in Journal of Manufacturing Science and Engineering-transactions of The Asme.The article was published on 2017-05-01. It has received 160 citations till now. The article focuses on the topics: Selective laser melting.read more
Citations
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Journal ArticleDOI
Process defects and in situ monitoring methods in metal powder bed fusion: a review
TL;DR: In this paper, a review of the literature and the commercial tools for insitu monitoring of powder bed fusion (PBF) processes is presented, focusing on the development of automated defect detection rules and the study of process control strategies.
Journal ArticleDOI
Fluid and particle dynamics in laser powder bed fusion
TL;DR: In this paper, a combination of high-speed imaging and schlieren imaging, as well as multiphysics modeling, was employed to elucidate the effects of the interaction between the laser beam and the powder bed.
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
Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion additive manufacturing process
Luke Scime,Jack Beuth +1 more
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
In situ monitoring of selective laser melting of zinc powder via infrared imaging of the process plume
TL;DR: In this article, the authors present an in situ monitoring method that integrates the acquisition of infrared images with a data mining approach for feature extraction and a statistical process monitoring technique to design a data-driven and automated alarm rule.
References
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Book
Principal Component Analysis
TL;DR: In this article, the authors present a graphical representation of data using Principal Component Analysis (PCA) for time series and other non-independent data, as well as a generalization and adaptation of principal component analysis.
Reference EntryDOI
Principal Component Analysis
TL;DR: Principal component analysis (PCA) as discussed by the authors replaces the p original variables by a smaller number, q, of derived variables, the principal components, which are linear combinations of the original variables.
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Applied Multivariate Statistical Analysis
R. A. Johnson,Dean W. Wichern +1 more
TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
Journal ArticleDOI
Applied Multivariate Statistical Analysis.
TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.