JOURNAL OF CLEANER PRODUCTION | 卷:241 |
A cloud service platform integrating additive and subtractive manufacturing with high resource efficiency | |
Article | |
Qian, Cheng1,3  Zhang, Yingfeng1  Liu, Yang2,4  Wang, Zhe1  | |
[1] Northwestern Polytech Univ, Minist Ind & Informat Technol, Key Lab Ind Engn & Intelligent Mfg, Xian 710072, Shaanxi, Peoples R China | |
[2] Linkoping Univ, Dept Management & Engn, SE-58183 Linkoping, Sweden | |
[3] Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen 518055, Guangdong, Peoples R China | |
[4] Univ Vaasa, Dept Prod, Vaasa 65200, Finland | |
关键词: Cloud manufacturing; Additive manufacturing; Subtractive manufacturing; Resource efficiency; | |
DOI : 10.1016/j.jclepro.2019.118379 | |
来源: Elsevier | |
【 摘 要 】
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. (C) 2019 Elsevier Ltd. All rights reserved.
【 授权许可】
Free
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
10_1016_j_jclepro_2019_118379.pdf | 4109KB | download |