MATLAB-Assisted Dynamic Analysis and Balancing Optimization in Railway Wheel Sets

MATLAB-Assisted Dynamic Analysis and Balancing Optimization in Railway Wheel Sets

Authors

DOI:

https://doi.org/10.56741/jnest.v4i01.851

Keywords:

Balancing Weight, Dynamic Balancing, Optimization, Press Fitting, Rail Wheel, Wheel Boring, Wheelset

Abstract

This study presents a MATLAB-assisted approach for dynamic analysis and optimization of balancing in railway wheel sets. By simulating multi-plane dynamic balancing equations, critical sources of imbalance were identified and mitigated. The methodology reduced counterbalancing weight consumption by 95.9%, achieving significant cost savings and operational efficiency in production trials. Factors such as wheel eccentricity and machine calibration were addressed comprehensively. This approach validates MATLAB as a cost-effective tool for industrial applications, with the provided code enabling adaptation in similar fields.

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Author Biography

Jeetender Singh Kushawaha, Modern Coach Factory

is a Senior Section Engineer in Mechanical Engineering at Modern Coach Factory, Raebareli, Uttar Pradesh, India, where he has been working since 2017. He has extensive experience in academia and industry, having previously served as an Instructor at Industrial Training Institute, Hardoi (2016-2017), Assistant Professor at Indus Institute of Technology and Management, Kanpur (2009-2016), and Sergeant in the Indian Air Force (1988-2008). He holds a Master’s degree in Mechanical Engineering from HBTU, Kanpur (2007-2009) and is a Member of the Institution of Engineers (MIE) Kolkata since 2011. His research contributions include numerous journal articles and conference papers on mechanical engineering topics such as FEA simulation, railway wheel balancing, and meshfree methods in engineering analysis. (email: k.jitendrasingh@yahoo.com).

References

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Published

2025-03-24

How to Cite

Kushawaha, J. S. (2025). MATLAB-Assisted Dynamic Analysis and Balancing Optimization in Railway Wheel Sets. Journal of Novel Engineering Science and Technology, 4(01), 39–43. https://doi.org/10.56741/jnest.v4i01.851

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