Additive Manufacturing and Big Data

Additive Manufacturing and Big Data

Additive manufacturing (AM) can produce parts with complex geometric shapes and reduce material use and weight. However, there are limited materials available for AM processes; the speed of production is slower compared with traditional manufacturing processes. Big Data analytics helps analyze AM pr...

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Bibliographic Details
Main Authors: Lidong Wang, Cheryl Ann Alexander
Format: Article
Language:English
Published: International Journal of Mathematical, Engineering and Management Sciences 2016-12-01
Series:International Journal of Mathematical, Engineering and Management Sciences
Subjects:
Big data
additive manufacturing
3D printing
rapid prototyping
cybersecurity
high performance computation
Online Access:https://www.ijmems.in/assets//2.-ijmems-16-015-vol.-1%2c-no.-3%2c-107%E2%80%93121%2c-2016.pdf
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spelling doaj-9ea562403c62410db74620242a2dc5172020-11-24T21:52:13ZengInternational Journal of Mathematical, Engineering and Management SciencesInternational Journal of Mathematical, Engineering and Management Sciences2455-77492455-77492016-12-011310712110.33889/IJMEMS.2016.1.3-012Additive Manufacturing and Big DataLidong Wang0Cheryl Ann Alexander1Department of Engineering Technology, Mississippi Valley State University, USATechnology and Healthcare Solutions, Inc., USAAdditive manufacturing (AM) can produce parts with complex geometric shapes and reduce material use and weight. However, there are limited materials available for AM processes; the speed of production is slower compared with traditional manufacturing processes. Big Data analytics helps analyze AM processes and facilitate AM in impacting supply chains. This paper introduces advantages, applications, and technology progress of AM. Cybersecurity in AM and barriers to broad adoption of AM are discussed. Big data in AM and Big Data analytics for AM are also presented.https://www.ijmems.in/assets//2.-ijmems-16-015-vol.-1%2c-no.-3%2c-107%E2%80%93121%2c-2016.pdfBig dataadditive manufacturing3D printingrapid prototypingcybersecurityhigh performance computation
collection DOAJ
language English
format Article
sources DOAJ
author Lidong Wang
Cheryl Ann Alexander
spellingShingle Lidong Wang
Cheryl Ann Alexander
Additive Manufacturing and Big Data
International Journal of Mathematical, Engineering and Management Sciences
Big data
additive manufacturing
3D printing
rapid prototyping
cybersecurity
high performance computation
author_facet Lidong Wang
Cheryl Ann Alexander
author_sort Lidong Wang
title Additive Manufacturing and Big Data
title_short Additive Manufacturing and Big Data
title_full Additive Manufacturing and Big Data
title_fullStr Additive Manufacturing and Big Data
title_full_unstemmed Additive Manufacturing and Big Data
title_sort additive manufacturing and big data
publisher International Journal of Mathematical, Engineering and Management Sciences
series International Journal of Mathematical, Engineering and Management Sciences
issn 2455-7749
2455-7749
publishDate 2016-12-01
description Additive manufacturing (AM) can produce parts with complex geometric shapes and reduce material use and weight. However, there are limited materials available for AM processes; the speed of production is slower compared with traditional manufacturing processes. Big Data analytics helps analyze AM processes and facilitate AM in impacting supply chains. This paper introduces advantages, applications, and technology progress of AM. Cybersecurity in AM and barriers to broad adoption of AM are discussed. Big data in AM and Big Data analytics for AM are also presented.
topic Big data
additive manufacturing
3D printing
rapid prototyping
cybersecurity
high performance computation
url https://www.ijmems.in/assets//2.-ijmems-16-015-vol.-1%2c-no.-3%2c-107%E2%80%93121%2c-2016.pdf
work_keys_str_mv AT lidongwang additivemanufacturingandbigdata
AT cherylannalexander additivemanufacturingandbigdata
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