High Volume Closed Loop Machining Simulation

Perry, Brian

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/9171

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DC Field	Value	Language
dc.contributor.advisor	Veldhuis, S. C.	en_US
dc.contributor.author	Perry, Brian	en_US
dc.date.accessioned	2014-06-18T16:45:56Z	-
dc.date.available	2014-06-18T16:45:56Z	-
dc.date.created	2011-05-31	en_US
dc.date.issued	2010-09	en_US
dc.identifier.other	opendissertations/4318	en_US
dc.identifier.other	5336	en_US
dc.identifier.other	2039578	en_US
dc.identifier.uri	http://hdl.handle.net/11375/9171	-
dc.description.abstract	<p>Statistical Process Control (SPC) provides tools to monitor process quality and productivity. When coupled with closed loop control theory, SPC algorithms can be utilized to compensate for various error sources in stable, high volume, discrete part manufacturing processes. These error sources include environmental effects, tool wear, measurement, and material errors.</p> <p>Closed loop machining cells must be analyzed from both Quality and Manufacturing Engineering perspectives for efficient and successful implementation. Discrete, stochastic, time event manufacturing simulation is used to analyze process organization, data flow and control system performance. SPC and Engineering Process Control (EPC) control algorithms are compared using data gathered from a high volume machining process involving steel turned components with a critical machined surface.</p>	en_US
dc.subject	Mechanical Engineering	en_US
dc.subject	Mechanical Engineering	en_US
dc.title	High Volume Closed Loop Machining Simulation	en_US
dc.type	thesis	en_US
dc.contributor.department	Mechanical Engineering	en_US
dc.description.degree	Master of Applied Science (MASc)	en_US
Appears in Collections:	Open Access Dissertations and Theses

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