Analysis of Carbody Spreader Loading of Electric Rail Train on Material Variations Using Finite Element Analysis Method

Authors

  • Alviz Mahardika Effendi Universitas Merdeka Madiun
  • Muhammad Fuad Abdul Hakim Universitas Merdeka Madiun
  • Doni Dwi Susilo Universitas Merdeka Madiun
  • Salim Subarkah Universitas Merdeka Madiun

DOI:

https://doi.org/10.55606/jtmei.v5i3.6302

Keywords:

Adjustable Spreader Carbody, Electric Multiple Unit (EMU), Finite Element Analysis (FEA), SS400 Material Optimization, Structural Strength Analysis

Abstract

This research analyzes the structural strength of an adjustable spreader carbody for Electric Multiple Unit (EMU) trains under a 40-ton load to determine the most optimal and efficient material for manufacturing at PERUSAHAAN KERETA API (Persero). The study employs Finite Element Analysis (FEA) static structural simulation using Ansys Workbench, based on a 3D model created in Autodesk Inventor. The spreader's most critical condition at a 4000 mm length was evaluated across three material variations: SS400, SM490A, and S355J2+N steel. Simulation results indicate that all materials are structurally safe, exhibiting maximum von Mises stresses between 106.96 MPa and 107.18 MPa, well below their respective yield strengths. Total deformation remained minimal at under 0.08 mm, and the minimum safety factors ranged from 2.94 to 3.22, satisfying the industrial standard of 2.5 to 3.0 for lifting equipment. Although S355J2+N offers the highest safety margin, SS400 is identified as the most optimal and efficient choice. It provides an adequate safety factor of 3.011, minimal deformation, superior cost-effectiveness, and broad market availability, ensuring safe and economical lifting operations without compromising structural integrity.

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References

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Published

2026-06-30

How to Cite

Alviz Mahardika Effendi, Muhammad Fuad Abdul Hakim, Doni Dwi Susilo, & Salim Subarkah. (2026). Analysis of Carbody Spreader Loading of Electric Rail Train on Material Variations Using Finite Element Analysis Method. Jurnal Teknik Mesin, Industri, Elektro Dan Informatika, 5(3), 34–54. https://doi.org/10.55606/jtmei.v5i3.6302