Journal
APPLIED SCIENCES-BASEL
Volume 12, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/app12126143
Keywords
artificial neural network (ANN); cyber-physical systems (CPS); Industry 4; 0; Internet of Things (IoT); nanomanufacturing; smart expert system
Categories
Funding
- King Khalid University, Kingdom of Saudi Arabia [R.G.P. 1/212/41]
Ask authors/readers for more resources
This research provides a unique cyber nanomanufacturing framework by combining digital design with various artificial neural networks (ANN) approaches to predict the optimal nano/micro-manufacturing process in real-time. It establishes a foundation for real-time smart nanomanufacturing with predictive capabilities.
The development of Cyber-Physical Systems (CPS) and the Internet of Things (IoT) has influenced Cyber-Physical Manufacturing Systems (CPMS). Collaborative manufacturing among organizations with geographically distributed operations using Nanomanufacturing (NM) requires integrated networking for enhanced productivity. The present research provides a unique cyber nanomanufacturing framework by combining digital design with various artificial neural networks (ANN) approaches to predict the optimal nano/micro-manufacturing process. It enables the visualization tool for real-time allocation of nano/micro-manufacturing resources to simulate machine availability for five types of NM processes in real-time for a dynamic machine identification system. This research establishes a foundation for a smart agent system with predictive capabilities for cyber nanomanufacturing in real-time.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available