Lidong Wang
Department of Engineering Technology, Mississippi Valley State University, USA.
Cheryl Ann Alexander
Technology and Healthcare Solutions, Inc., USA.
DOI https://dx.doi.org/10.33889/IJMEMS.2016.1.3-012
Abstract
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.
Keywords- Big data, Additive manufacturing, 3D printing, Rapid prototyping, Cybersecurity, High performance computation.
Citation
Wang, L., & Alexander, C. A. (2016). Additive Manufacturing and Big Data. International Journal of Mathematical, Engineering and Management Sciences, 1(3), 107-121. https://dx.doi.org/10.33889/IJMEMS.2016.1.3-012.