Naslov
Optimization of Extrusion Force Prediction Model Using Different Techniques

Autori
Jurković, Zoran ; Jurković, Milan ; Buljan, Stipo

Izvornik
Journal of Achievements in Materials and Manufacturing Engineering (1734-8412) 17 (2006), 1-2; 353-356

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Plastic forming; Forward extrusion force model; Optimization; Taguchi approach

Sažetak
Purpose: This research is determination of the optimal cold forward extrusion parameters with objective the minimization of tool load. Design/methodology/approach: This paper deals with the different optimization approaches relating to determine optimal values of logarithmic strain, die angle and coefficient of friction with the purpose to find minimal tool loading obtained by cold forward extrusion process. To achieve this, it has been carried out two experimental plans based on factorial design of experiment and orthogonal array. By using these plans it was performed classical optimization, according to response model of extrusion forming force, and the Taguchi approach, respectively. Findings: Experimental verification of optimal forming parameters with their influences on the forming forces was done. The experimental results showed an improvement in minimization of tool loading. It was compared results of optimal forming parameters obtained with different optimization approaches and based on that the analysis of the characteristics (features and limitations) of both techniques. Research limitations/implications: Suggestion for future research it will be application of evolutionary algorithms namely model prediction of the process by genetic programming and optimization of extrusion parameters by genetic algorithm. Practical implications: a practical (industrial) implication on the smallest energy consumption, longer tool life, better formability of the work material and the quality of the finished product. Originality/value: This paper is obtained original extrusion force model for experimental domain of forming parameters and identification of parameters influence in that model.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

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