Special Issue on: "Cyber Manufacturing – Emerging Frontiers in Sensing, Modelling and Control"
Assistant Prof. Prahalad Rao, University of Nebraska-Lincoln, USA
Assistant Prof. Chi Zhou and Assistant Prof. Olga Wodo, University at Buffalo, USA
The aim of this special issue is to present recent research advancements in cyber manufacturing. The 2016 Whitehouse report on advanced manufacturing emphasises the burgeoning need for fundamental research in next-generation technologies to spur manufacturing innovation. An information transparent cyber manufacturing paradigm is a key component of this thrust. Novel sensing, analytics, physical process modelling, part measurement and materials testing strategies, among other things, are consequential milestones that must be achieved to fully capitalise the revolutionary potential of cyber manufacturing.
Work in all areas of advanced manufacturing and materials processing including, but not limited to, the following will be considered: additive manufacturing; non-traditional manufacturing; subtractive, formative, nano manufacturing; robotics; pharmaceutical manufacturing; electronics manufacturing; precision machining; bio-manufacturing.
Specific subject areas include
- Sensor fusion and data analytics
- Process control
- Functional integrity measurement and testing, and reliability analysis
- Non-destructive testing and evaluation
- Process-machine interaction modelling and variability reduction
- Cause-effect analysis and defect mitigation strategies
- Manufacturing security and cloud manufacturing
- Cobotics and cooperative robotics
- Simulation and modelling
- Design of experiment strategies and human factors
- Human-machine interfaces
- Virtual manufacturing
- Green manufacturing
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Manuscripts due by: 15 December, 2017