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All Journal Journal of Novel Engineering Science and Technology Journal of Railway Transportation and Technology
Kushawaha, Jeetender Singh
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Innovative Approach to Minimize Balancing Weight in Railway Wheel Sets Kushawaha, Jeetender Singh
Journal of Railway Transportation and Technology Vol. 3 No. 2 (2024): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v3i2.52

Abstract

This study elaborates the re-iterative, trial & error procedure adapted to reduce the excessive consumption of balancing weights in the railway wheel sets during wheel set assembling. The process involved MATLAB programming for dynamic balancing equations and CAD simulations to arrive at the solution. On the completion of the study and implementation of findings, the reduction in the consumption of balancing weight by 95.9% has been realized.
MATLAB-Assisted Dynamic Analysis and Balancing Optimization in Railway Wheel Sets Kushawaha, Jeetender Singh
Journal of Novel Engineering Science and Technology Vol. 4 No. 01 (2025): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v4i01.851

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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