4.7 Article

IoT-enabled cloud-based additive manufacturing platform to support rapid product development

Journal

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 57, Issue 12, Pages 3975-3991

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2018.1516905

Keywords

Additive Manufacturing; Cloud Manufacturing; Internet of Things; cyber-physical system; artificial intelligence

Funding

  1. New Zealand Product Accelerator (NZPA) Programme - Ministry of Business, Innovation and Employment (MBIE), New Zealand [UOAX1309]
  2. New Zealand Ministry of Business, Innovation & Employment (MBIE) [UOAX1309] Funding Source: New Zealand Ministry of Business, Innovation & Employment (MBIE)

Ask authors/readers for more resources

Additive Manufacturing (AM) with its unique capabilities provides a new way of rapid product development. The emerging Cloud Manufacturing paradigm makes it much easier to access various AM resources with minimum investment. Distributed recourses can also be utilised more efficiently. However, the current cloud platforms mainly focus on providing simple 3D printing services, rather than support the customers throughout the product development process, from design, to process planning, and to printing. Therefore, a new cloud platform is proposed to integrate not only hard resources such as 3D printers and materials, but also soft resources such as the know-how and test data to provide supports on printing as well as design and process planning. Internet of Things provides new capabilities to the cloud platform, enabling customers to remotely control and monitor the printing process. The paper also examined the feasibility of Artificial Neural Networks for surface defect detection. The platform is able to work in dynamic and iterative product development processes and reduce development time and cost. An illustrative platform is developed to demonstrate the functionalities.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available