| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document

Title:Modeling of forming efficiency using genetic programming
Authors:Brezočnik, Miran (Author)
Balič, Jože (Author)
Kampuš, Zlatko (Author)
Files:URL http://dx.doi.org/10.1016/S0924-0136(00)00783-4
 
Language:English
Work type:Unknown ()
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:This paper proposes new approach for modeling of various processes in metal-forming industry. As an example, we demonstrate the use of genetic programming (GP) for modeling of forming efficiency. The forming efficiency is a basis for determination of yield stress which is the fundamental characteristic of metallic materials. Several different genetically evolved models for forming efficiency on the basis of experimental data for learning were discovered. The obtained models (equations) differ in size, shape, complexity and precision of solutions. In one run out of many runs of our GP system the well-known equation of Siebel was obtained. This fact leads us to opinion that GP is a very powerful evolutionary optimization method appropriate not only for modeling of forming efficiency but also for modeling of many other processes in metal-forming industry.
Keywords:metal forming, yield stress, forming efficiency, mathematical modeling, adaptation, genetic methods, genetic algorithm, genetic programming, artificial intelligence, process optimisation
Year of publishing:2001
UDC:519.6:621.77
ISSN on article:0924-0136
COBISS_ID:5979414 Link is opened in a new window
NUK URN:URN:SI:UM:DK:LDKJ0PJG
Views:1105
Downloads:61
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:Misc.
:
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:AddThis
AddThis uses cookies that require your consent. Edit consent...

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Journal of materials processing technology
Shortened title:J. mater. process. technol.
Publisher:Elsevier
ISSN:0924-0136
COBISS.SI-ID:30105600 New window

Secondary language

Language:English
Keywords:plastično preoblikovanje, meja plastičnosti, napetost tečenja, matematično modeliranje, genetski algoritmi, genetsko programiranje, umetna inteligenca, optimizacija procesov


Comments

Leave comment

You have to log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica