Function Block Based Real-Time Tool Path Optimisation

dc.contributor.advisorMehnen, Jorn
dc.contributor.advisorFan, Ip-Shing
dc.contributor.authorGuo, Xixuan
dc.date.accessioned2015-06-15T15:02:55Z
dc.date.available2015-06-15T15:02:55Z
dc.date.issued2014-09
dc.description.abstractWith the changing and increasingly more demanding global markets, also Computer Aided Process Planning (CAPP) gets challenged. Industry is expecting more adaptive, dynamic, intelligent CAPP systems to deal with the uncertainty and the increasing complexity of machining processes. Generally, high intelligence and automation are the tendency of industry. Conventional CAPP systems as well as off-line optimisation have been very well investigated over many years. However, well-optimised solutions developed for static environments still often need manual manipulation when dealing with uncertainty and dynamics. As one of the emerging software technologies, Function Blocks have been introduced to deal with uncertainty in CAPP and manufacturing. The underlying hypothesis of this research is that Function Blocks delivered through the Cloud and deployed into a milling machine controller can provide real-time monitoring, optimisation and control. In this study, a real-time Function Blocks based tool path optimisation for face milling system is proposed. The system can optimise feed rate and cutting speed to create stable cutting conditions in real-time based on measured dynamically fluctuating cutting forces.en_UK
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/9246
dc.language.isoenen_UK
dc.publisherCranfield Universityen_UK
dc.rights© Cranfield University 2013. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright ownen_UK
dc.titleFunction Block Based Real-Time Tool Path Optimisationen_UK
dc.typeThesis or dissertationen_UK
dc.type.qualificationlevelMastersen_UK
dc.type.qualificationnameMSc by Researchen_UK

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