Genetic programming method for modelling of cup height in deep drawing process

L. Gusel, V. Boskovic, J. Domitner, M. Ficko, M. Brezocnik

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

Abstract

Genetic programming method for modelling of maximum height of deep drawn high strength sheet materials is proposed in this paper. Genetic pro-gramming (GP) is an evolutionary computation approach which uses the prin-ciples of Darwin's natural selection to develop effective solutions for different problems. The aim of the research was the modelling of cylindrical cup height in deep drawing process and analysis of the impact of process parameters on material formability. High strength steel sheet materials (DP1180HD and DP780) were formed by deep drawing using different punch speeds and blank holder forces. The heights of specimens before cracks occur were measured. Therefore, four input parameters (yield stress, tensile strength, blank holder force, punch speed) and one output parameter (cup height) were used in the research. The experimental data were the basis for obtaining various accurate prediction models for the cup heights by the genetic pro-gramming method. Results showed that proposed genetic modelling method can successfully predict fracture problems in a process of deep drawing.

Originalspracheenglisch
Seiten (von - bis)358-365
FachzeitschriftAdvances in Production Engineering & Management
Jahrgang13
Ausgabenummer3
DOIs
PublikationsstatusVeröffentlicht - 2018

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deep drawing
Deep drawing
Genetic programming
programming
punches
blanks
holders
Steel sheet
Formability
High strength steel
Evolutionary algorithms
Yield stress
Tensile strength
high strength steels
Cracks
high strength
tensile strength
cracks
Modeling
output

Schlagwörter

    ASJC Scopus subject areas

    • !!Nuclear and High Energy Physics
    • !!Mechanical Engineering
    • !!Management Science and Operations Research
    • !!Industrial and Manufacturing Engineering
    • !!Management of Technology and Innovation

    Dies zitieren

    Genetic programming method for modelling of cup height in deep drawing process. / Gusel, L.; Boskovic, V.; Domitner, J.; Ficko, M.; Brezocnik, M.

    in: Advances in Production Engineering & Management, Jahrgang 13, Nr. 3, 2018, S. 358-365.

    Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung

    Gusel, L. ; Boskovic, V. ; Domitner, J. ; Ficko, M. ; Brezocnik, M. / Genetic programming method for modelling of cup height in deep drawing process. in: Advances in Production Engineering & Management. 2018 ; Jahrgang 13, Nr. 3. S. 358-365.
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    AU - Brezocnik, M.

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