DESIGN OPTIMIZATION FOR WEIGHT REDUCTION OF LOCOMOTIVE WHEEL USING RESPONSE SURFACE METHODOLOGY
DOI:
https://doi.org/10.29121/ijetmr.v6.i1.2019.344Keywords:
Locomotive Wheel, Weight Reduction, FEA, ANSYSAbstract
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 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.
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References
M.R. Zhang, H.C. Gu, 2008, Fracture Toughness of nanostructured railway wheels; Engineering Fracture Mechanics, 5113–5121 DOI: https://doi.org/10.1016/j.engfracmech.2008.07.007
“ANSYS” http://www.ansys.com
Pramod Murali Mohan, 2012, Analysis of Railway Wheel to study Thermal and Structural Behavior, Published in International Journal of Scientific & Engineering Research, Volume 3, Issue 11
KLW
Box, E.P., and Draper, N.R. (1987) Empirical Model-building and Response Surfaces, John Wiley. -k
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