A principal component analysis model-based predictive controller for controlling part warpage in plastic injection molding. Issue 6 (15th April 2015)
- Record Type:
- Journal Article
- Title:
- A principal component analysis model-based predictive controller for controlling part warpage in plastic injection molding. Issue 6 (15th April 2015)
- Main Title:
- A principal component analysis model-based predictive controller for controlling part warpage in plastic injection molding
- Authors:
- Zhang, Songtao
Dubay, Rickey
Charest, Meaghan - Abstract:
- <abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st075">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0220">Quality measurement on injection molded parts are related to process parameter data.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0225">The data experimentation data is analyzed using statistical methods (PCA), (ICA) and (ANOVA).</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0230">Models are constructed to predict a quality index based on data analysis results.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0235">A MPC scheme that allows for on-line quality control was developed using the models.</p> </list-item> <list-item id="u0025"> <label></label> <p id="p0240">The presented scheme is extendable to a variety of manufacturing processes.</p> </list-item> </list> </p> </sec> </abstract>
- Is Part Of:
- Expert systems with applications. Volume 42:Issue 6(2015)
- Journal:
- Expert systems with applications
- Issue:
- Volume 42:Issue 6(2015)
- Issue Display:
- Volume 42, Issue 6 (2015)
- Year:
- 2015
- Volume:
- 42
- Issue:
- 6
- Issue Sort Value:
- 2015-0042-0006-0000
- Page Start:
- 2919
- Page End:
- 2927
- Publication Date:
- 2015-04-15
- Subjects:
- Expert systems (Computer science) -- Periodicals
Systèmes experts (Informatique) -- Périodiques
Electronic journals
006.33 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09574174 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.eswa.2014.11.030 ↗
- Languages:
- English
- ISSNs:
- 0957-4174
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3842.004220
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4395.xml