An expert system aid for technological decisions in planning sheet metal forming operations

Teleionis, S; Vosniakos, GC; Giannakakis, T

dc.contributor.author	Teleionis, S	en
dc.contributor.author	Vosniakos, GC	en
dc.contributor.author	Giannakakis, T	en
dc.date.accessioned	2014-03-01T02:49:12Z
dc.date.available	2014-03-01T02:49:12Z
dc.date.issued	2002	en
dc.identifier.issn	0191085X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34407
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0036920732&partnerID=40&md5=0a3f0fc2eaf7d3f27ec08c7efb9a124c	en
dc.subject	Expert systems	en
dc.subject	Sheet metal forming	en
dc.subject	Technological decisions	en
dc.subject.other	Bending (forming)	en
dc.subject.other	Computer software	en
dc.subject.other	Decision making	en
dc.subject.other	Decision theory	en
dc.subject.other	Deep drawing	en
dc.subject.other	Expert systems	en
dc.subject.other	Knowledge acquisition	en
dc.subject.other	Metal cutting	en
dc.subject.other	Sheet metal	en
dc.subject.other	User interfaces	en
dc.subject.other	Decision trees	en
dc.subject.other	Sheet metal forming	en
dc.subject.other	Software Package XpertRule	en
dc.subject.other	Technological decisions	en
dc.subject.other	Metal forming	en
dc.title	An expert system aid for technological decisions in planning sheet metal forming operations	en
heal.type	conferenceItem	en
heal.publicationDate	2002	en
heal.abstract	Decisions in planning sheet metal work on presses and the resulting tool design are of two types: calculation-based and experience-based. The first type refers to factors such as blank-holding force, punching force, die-punch clearance, forming velocity, die and punch radii of curvature etc. and can be termed ""technological decisions"". The second type refer to factors such as number of forming stages, general layout of die etc. and are usually of preliminary nature, yet all subsequent decisions are based on them. Whereas the second type of decisions is by definition open to an AI approach, the first type is of algorithmic nature. However, due to the complexity of interacting factors, even technological decisions are more often than not based on empirical knowledge. This work attempts to systematically record rules and methods employed in technological decision-making for four sub-domains of the sheet metal forming domain, namely: cutting, bending, embossing and deep drawing. The platform used was the expert system shell XpertRule and the paradigm followed was decision trees. The main knowledge sources were tables, equations and diagrams digested from textbooks, handbooks and technical articles.	en
heal.journalName	Technical Paper - Society of Manufacturing Engineers. MF	en
dc.identifier.issue	MF02-272	en
dc.identifier.spage	1	en
dc.identifier.epage	10	en