Grey wolf optimiser in design of leaf springs of railway vehicles Online publication date: Mon, 28-Sep-2020
by Milan Bižić; Goran Marković; Radovan Bulatović; Dragan Petrović; Milan Dedić
International Journal of Vehicle Design (IJVD), Vol. 80, No. 2/3/4, 2019
Abstract: 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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Design (IJVD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook