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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11751
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dc.contributor.authorSangwan, Kuldip Singh-
dc.date.accessioned2023-08-31T06:40:53Z-
dc.date.available2023-08-31T06:40:53Z-
dc.date.issued2023-03-
dc.identifier.urihttps://www.tandfonline.com/doi/abs/10.1080/0951192X.2023.2189312-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11751-
dc.description.abstractCyber 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 analyticsen_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectMechanical Engineeringen_US
dc.subjectCyber-Physical Production Systemen_US
dc.subjectCloud computingen_US
dc.subjectFog computingen_US
dc.subjectEdge computingen_US
dc.subject3D Printingen_US
dc.subjectIndustry 4.0en_US
dc.titleA cyber physical production system framework for online monitoring, visualization and control by using cloud, fog, and edge computing technologiesen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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