Title :
Multi-criteria optimization of steel alloys for crankshafts production
Author :
Koprinkova-Hristova, Petia ; Tontchev, Nikolay ; Popova, Silviya
Author_Institution :
Inst. of Inf. & Commun. Technol., Sofia, Bulgaria
Abstract :
The paper presents application of multi-criteria optimization to steel alloy composition determination aimed at obtaining improved properties material for crankshafts production. Neural network model of steel mechanical characteristics in dependence on amounts of its alloying elements were used for simulation purpose. Then several Pareto optimal solutions were found based on obtained by simulation numerous compositions in the investigated region of interest.
Keywords :
Pareto optimisation; alloying; production engineering computing; shafts; steel; Pareto optimal solutions; alloying elements; crankshafts production; multicriteria optimization; neural network model; simulation purpose; steel alloy composition; steel mechanical characteristics; Alloying; Materials; Neural networks; Optimization; Production; Steel; Pareto front; crankshafts; multi-criteria optimization; neural network modelling; steel alloys;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
Conference_Location :
Trabzon
Print_ISBN :
978-1-4673-1446-6
DOI :
10.1109/INISTA.2012.6246988
