Cloud Enabled CPS and Big Data in Manufacturing

Wang, Lihui; Ji, Wei

doi:10.1007/978-3-319-89563-5_20

Cited by 5 publications

(1 citation statement)

References 79 publications

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“…The hidden patterns in big data enable a much-improved machining optimization when combined with analytics algorithms. By combining machining condition optimization, cutting tool design/selection, and machine tool selection as a whole, big data analytics has been applied to machining optimization [115][116][117]. In this way, the machining-related decision process can be transformed into a data problem, which could provide a global optimization for machining, as shown in Fig.…”

Section: Data-driven Methods Enabling Comprehensive Optimization Of Mmentioning

confidence: 99%

A review on cutting tool technology in machining of Ni-based superalloys

Fan

Wang

et al. 2020

Int J Adv Manuf Technol

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In this paper, a state-of-the-art review on cutting tool technology in machining of Ni-based superalloys is presented to better understand the current status and to identify future directions of research and development of cutting tool technologies. First, past review articles related to the machining of Ni-based superalloys are summarized. Then machinability of superalloys is introduced, together with the reported methods used in cutting tool design. The current researches on cutting tools in the machining of superalloys are presented in different categories in terms of tool materials, i.e., carbide, ceramics, and Polycrystalline cubic boron nitride (PCBN). Moreover, a set of research issues are identified and highlighted to improve the machining of superalloys. Finally, discussions on the future development are presented, in the areas of new materials/geometries, functional surfaces on the cutting tool, and data-driven comprehensive optimization.

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Section: Data-driven Methods Enabling Comprehensive Optimization Of Mmentioning

confidence: 99%

A review on cutting tool technology in machining of Ni-based superalloys

Fan

Wang

et al. 2020

Int J Adv Manuf Technol

Self Cite

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A Cyber-Physical Warehouse Management System Architecture in an Industry 4.0 Context

Moufaddal

Benghabrit

Bouhaddou

2020

Advances in Intelligent Systems and Computing

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The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review

Dafflon

Moalla

Ouzrout

2021

Int J Adv Manuf Technol

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This work aims to review literature related to the latest cyber-physical systems (CPS) for manufacturing in the revolutionary Industry 4.0 for a comprehensive understanding of the challenges, approaches, and used techniques in this domain. Different published studies on CPS for manufacturing in Industry 4.0 paradigms through 2010 to 2019 were searched and summarized. We, then, analyzed the studies at a different granularity level inspecting the title, abstract, and full text to include in the prospective study list. Out of 626 primarily extracted relevant articles, we scrutinized 78 articles as the prospective studies on CPS for manufacturing in Industry 4.0. First, we analyzed the articles’ context to identify the major components along with their associated fine-grained constituents of Industry 4.0. Then, we reviewed different studies through a number of synthesized matrices to narrate the challenges, approaches, and used techniques as the key-enablers of the CPS for manufacturing in Industry 4.0. Although the key technologies of Industry 4.0 are the CPS, Internet of Things (IoT), and Internet of Services (IoS), the human component (HC), cyber component (CC), physical component (PC), and their HC-CC, CC-PC, and HC-PC interfaces need to be standardized to achieve the success of Industry 4.0.

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Cloud Enabled CPS and Big Data in Manufacturing

Cited by 5 publications

References 79 publications

A review on cutting tool technology in machining of Ni-based superalloys

A review on cutting tool technology in machining of Ni-based superalloys

A Cyber-Physical Warehouse Management System Architecture in an Industry 4.0 Context

The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review

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