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...

Full description

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
Description
Summary: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.
ISSN:2455-7749
2455-7749

Similar Items