Design Optimization for Weight Reduction of Locomotive Wheel using Response Surface Methodology

Authors

  • Harmesh lal Academician, PCTE-Institute of Engineering & Technology, Ludhiana, Punjab, India.

Keywords:

Locomotive wheel, weight reduction, FEA, ANSYS

Abstract

Manufacturing cost of locomotive wheel largely depends on mass of  locomotive wheel, and to reduce mass of wheel, design optimization is necessary. In this research, the design of the locomotive wheel is optimized considering hub radius and hub width as input parameters to DOE (Design of Experiments). Initially, finite element analysis is performed under static structural loading conditions to determine equivalent stress and safety factor, which is followed by design optimization using Response Surface Methodology. The software used for design and analysis is ANSYS.

References

Zhang MR, Gu HC. Fracture toughness of nanostructured railway wheels. Engineering Fracture Mechanics. 2008 Dec 1;75(18):5113-21.

“ANSYS” http://www.ansys.com

Mohan PM. Analysis of railway wheel to study thermal

and structural behaviour. International Journal of Scientific & Engineering Research. 2012 Nov;3(11):1-4.

Box GE, Draper NR. Empirical model-building and response surfaces. John Wiley & Sons; 1987.

Published

2024-10-28