Multi-sensor process analysis and performance characterisation in CNC turning—a cyber physical system approach

Multi-sensor process analysis and performance characterisation in CNC turning—a cyber physical... High accuracy manufacturing requires the utilisation of advanced signal processing and analytics to monitor, manage, and control production processes. These systems vary in size, scope, and complexity and have traditionally required the skill of multi-disciplinary individuals, for end-to-end application. Current research trends in digital manufacturing aim to remove this complexity through interoperability solutions encapsulated in cyber physical systems. These systems provide a platform for real-time heterogeneous data acquisition, analysis, and distribution. The focus of this research is to demonstrate the application of a cyber physical process monitoring system within an industrial case study. Specifically, a multi-scalable signal processing and analytic system is developed, for both user-driven and semi-autonomous production decision support in CNC turning machining. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

Multi-sensor process analysis and performance characterisation in CNC turning—a cyber physical system approach

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Publisher
Springer London
Copyright
Copyright © 2017 by Springer-Verlag London
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
D.O.I.
10.1007/s00170-017-0113-8
Publisher site
See Article on Publisher Site

Abstract

High accuracy manufacturing requires the utilisation of advanced signal processing and analytics to monitor, manage, and control production processes. These systems vary in size, scope, and complexity and have traditionally required the skill of multi-disciplinary individuals, for end-to-end application. Current research trends in digital manufacturing aim to remove this complexity through interoperability solutions encapsulated in cyber physical systems. These systems provide a platform for real-time heterogeneous data acquisition, analysis, and distribution. The focus of this research is to demonstrate the application of a cyber physical process monitoring system within an industrial case study. Specifically, a multi-scalable signal processing and analytic system is developed, for both user-driven and semi-autonomous production decision support in CNC turning machining.

Journal

The International Journal of Advanced Manufacturing TechnologySpringer Journals

Published: Mar 6, 2017

References

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