Industry 4.0 and Intelligent Manufacturing Processes: A Review of Modern Sensing Technologies

Kurfess, Thomas; Saldana, Christopher; Saleeby, Kyle; Parto-Dezfouli, Mahmoud

doi:10.1115/1.4048206

Industry 4.0 and Intelligent Manufacturing Processes: A Review of Modern Sensing Technologies

Journal Article · Fri Aug 28 00:00:00 EDT 2020 · Journal of Manufacturing Science and Engineering

DOI:https://doi.org/10.1115/1.4048206· OSTI ID:1657951

Kurfess, Thomas ^[1]; Saldana, Christopher ^[2]; Saleeby, Kyle ^[1]; Parto-Dezfouli, Mahmoud ^[2]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Georgia Inst. of Technology, Atlanta, GA (United States)

Digital Manufacturing technologies have quickly become ubiquitous in the manufacturing industry. The transformation commonly referred to as the fourth industrial revolution, or Industry 4.0, has ushered in a wide range of communication technologies, connection mechanisms, and data analysis capabilities. These technologies provide powerful tools to create a more lean, profitable, and data-driven manufacturing processes. In this paper, we review modern communication technologies and connection architectures for Digital Manufacturing and Industry 4.0 applications. An introduction to Cyber-Physical Systems and a review of digital manufacturing trends is followed by an overview of data acquisition methods for manufacturing processes. Numerous communication protocols are presented and discussed for connecting disparate machines and processes. Flexible data architectures are discussed and examples of machine monitoring implementations are provided. Finally, select implementations of these communication protocols and architectures are surveyed with recommendations for future architecture implementations.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); National Science Foundations (NSF)

Grant/Contract Number:: AC05-00OR22725; EE0008303

OSTI ID:: 1657951

Journal Information:: Journal of Manufacturing Science and Engineering, Journal Name: Journal of Manufacturing Science and Engineering Journal Issue: 11 Vol. 142; ISSN 1087-1357

Publisher:: ASMECopyright Statement

Country of Publication:: United States

Language:: English

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