Predicting "springback" using 3D surface representation techniques: A case study in sheet metal forming. Issue 1 (January 2015)

• Record Type: Journal Article
• Authors: El Salhi, S.; Coenen, F.; Dixon, C.; Khan, M.S.
• Is Part Of: Expert systems with applications. Volume 42:Issue 1(2015)
• Page Start: 79
• Page End: 93
• Publication Date: 2015-01
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.07.041
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st095">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0220">Three generic 3D surface representation techniques are proposed.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0225">A framework for using the representations for classifier generation is described.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0230">A complete analysis of the representations in the context of classification.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0235">Statistical significance testing is presented with respect to the reported results.</p> </list-item> </list> </p> </sec> </abstract>