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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sangwan, Kuldip Singh | - |
dc.date.accessioned | 2023-08-31T06:40:53Z | - |
dc.date.available | 2023-08-31T06:40:53Z | - |
dc.date.issued | 2023-03 | - |
dc.identifier.uri | https://www.tandfonline.com/doi/abs/10.1080/0951192X.2023.2189312 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11751 | - |
dc.description.abstract | Cyber physical production system (CPPS) is an essential prerequisite to facilitate online monitoring, visualization, and control in a smart manufacturing system. The goal of this paper is to provide a proof of concept by proposing a CPPS framework, based on complementing cloud, fog and edge computing technologies, to demonstrate the real-time online monitoring, visualization, and control of a conventional 3D printer. The proposed methodology was successfully used for online detection and control of part defects, filament runouts, and smoke generation. The proposed methodology was also used to acquire, monitor, and visualize energy consumption, relative humidity, temperature, volatile organic compounds, particulate matters, and acceleration during 3D printing. The present work utilizes the computing technologies where they do not compete, but instead complement each other to enable intelligent capabilities and online sharing of resources which are scalable, reliable, and efficient. The proposed CPPS framework can be extended to provide low-cost solutions to micro, small and medium enterprises to convert their traditional critical equipment for real-time monitoring, visualization, control, and analytics | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.subject | Mechanical Engineering | en_US |
dc.subject | Cyber-Physical Production System | en_US |
dc.subject | Cloud computing | en_US |
dc.subject | Fog computing | en_US |
dc.subject | Edge computing | en_US |
dc.subject | 3D Printing | en_US |
dc.subject | Industry 4.0 | en_US |
dc.title | A cyber physical production system framework for online monitoring, visualization and control by using cloud, fog, and edge computing technologies | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Mechanical engineering |
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