A cloud service platform integrating additive and subtractive manufacturing with high resource efficiency

Cheng Qian, Yingfeng Zhang, Yang Liu, Zhe Wang

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Cloud manufacturing has been studied for years, yet commercial implementations are still limited. The recent advances in information technology have stimulated the free sharing of additive and subtractive manufacturing (A/SM) resources through cloud services. Currently, due to the lack of a general method to model manufacturing capabilities, as well as the absence of an open platform to integrate business and manufacturing processes, it is difficult to integrate A/SM resources within one platform efficiently and seamlessly. In this research, a service encapsulation model for A/SM resources was described using ontology modeling technique. A collaborative cloud platform integrating A/SM was designed that can provide optimal production plans considering time, cost, quality, and energy waste during manufacturing. The proposed platform and models were demonstrated by a prototype system and tested in a case study, which showed the integrated platform can increase the utilization rate of resources while reducing energy consumption. This research has provided a practical tool for virtualization, integration, and configuration of A/SM resource with high efficiency.

Original languageEnglish
Article number118379
JournalJournal of Cleaner Production
Volume241
DOIs
StatePublished - 20 Dec 2019

Keywords

  • Additive manufacturing
  • Cloud manufacturing
  • Resource efficiency
  • Subtractive manufacturing

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