dc.contributor.author |
Vosniakos, G-C |
en |
dc.contributor.author |
Giannakakis, T |
en |
dc.date.accessioned |
2014-03-01T02:07:19Z |
|
dc.date.available |
2014-03-01T02:07:19Z |
|
dc.date.issued |
2012 |
en |
dc.identifier.issn |
09565515 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/29540 |
|
dc.subject |
Design interface |
en |
dc.subject |
Features |
en |
dc.subject |
Process planning |
en |
dc.subject |
Rule based system |
en |
dc.subject |
Sheet metal forming |
en |
dc.title |
A knowledge-based manufacturing advisor for pressworked sheet metal parts |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1007/s10845-012-0664-3 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/s10845-012-0664-3 |
en |
heal.publicationDate |
2012 |
en |
heal.abstract |
This paper describes an expert system for die design and process planning of sheet metal forming operations functioning on a part representation by custom-defined features input incrementally. Knowledge acquired from industrial experts pertains mainly to operations sequencing towards a complete process plan and to die and tool configuration, whilst knowledge acquired from handbooks pertains to calculations required to determine basic characteristics of individual manufacturing operations. The expert system is composed of seven modules: initial calculations, cutting-piercing, drawing-stamping, process planning, finishing, die and press selection, and tools selection. Part shape is converted from CAD environment to appropriate constructs in the expert system through a suitable interface to a library of customisable features. The expert system exports manufacturing advice in the form of a report. This can be used mainly by the product designer obtaining feedback on the production feasibility issue, or by the inexperienced die designer. In both cases design and manufacturing efficiency are greatly improved. © 2012 Springer Science+Business Media, LLC. |
en |
heal.journalName |
Journal of Intelligent Manufacturing |
en |
dc.identifier.doi |
10.1007/s10845-012-0664-3 |
en |
dc.identifier.spage |
1 |
en |
dc.identifier.epage |
14 |
en |