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Title: Grey wolf optimiser in design of leaf springs of railway vehicles
Authors: Bižić, Milan
Marković, Goran
Bulatovic, Radovan
Milun Petrović D.
Dedic M.
Journal: International Journal of Vehicle Design
Issue Date: 1-Jan-2019
Abstract: Copyright © 2019 Inderscience Enterprises Ltd. The paper deals with the usage of grey wolf optimiser (GWO) in the optimal design of leaf springs with railway vehicles. The main goal is minimisation of mass of leaf spring, with retention required characteristics of suspension system. Based on the exposed analytical model of leaf springs and requirements for suspension system, an optimisation model is developed. The developed model and GWO are applied in the optimal design of leaf spring of 4-axled freight wagon for axle load of 200 kN. The obtained results have shown that the proposed model and GWO provide significant reduction of mass of leaf springs of about 46.7%, in relation to the conventional design method. In addition, the numerical model of leaf spring is developed and the design obtained by GWO is verified by finite element method (FEM) calculation. Proposed approach enables significant material savings and reduction of production costs, as well as the reduction of design time of leaf springs of railway vehicles.
Type: journal article
DOI: 10.1504/IJVD.2019.109855
ISSN: 01433369
SCOPUS: 85092268483
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

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