A Systematic Review of Additive Manufacturing Solutions Using Machine Learning, Internet of Things, Big Data, Digital Twins and Blockchain Technologies: A Technological Perspective Towards Sustainability-Reference-Cited by-同舟云学术

A Systematic Review of Additive Manufacturing Solutions Using Machine Learning, Internet of Things, Big Data, Digital Twins and Blockchain Technologies: A Technological Perspective Towards Sustainability

Published:2024-04-28 Issue: Volume: Page:
ISSN:1134-3060
Container-title:Archives of Computational Methods in Engineering
language:en
Short-container-title:Arch Computat Methods Eng

Author:

Pant Ruby,Singh Rajesh,Gehlot Anita,Akram Shaik Vaseem,Gupta Lovi Raj,Thakur Amit Kumar^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11831-024-10116-4.pdf

Reference106 articles.

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3. Colorado HA, Gutiérrez EI, Neves S (2020) Sustainability of additive manufacturing : the circular economy of materials and environmental perspectives. Integr Med Res 9(4):8221–8234. https://doi.org/10.1016/j.jmrt.2020.04.062

4. Huang SH, Liu P, Mokasdar A (2013) Additive manufacturing and its societal impact: a literature review. Int J Adv Manuf Technol 67:1191–1203. https://doi.org/10.1007/s00170-012-4558-5

5. Enrique M, Korner H, Albajez A, Santolaria J, Ng C (2020) Systematic literature review: integration of additive. Metals. https://doi.org/10.3390/met10081061

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