Optimization of Alternative Design of Mask of Car of High Speed Train Against Aerodynamics of Speed Variation with Computational Fluid Dynamics (CFD) Simulation
DOI:
https://doi.org/10.37367/jpi.v9i1.386Keywords:
coefficient drag, aerodynamics, high-speed trains, mask of car, Computational Fluid Dynamics (CFD)Abstract
Drag coefficient reduction is a way to improve the aerodynamics of high-speed trains. The challenge in this research is the lack of studies on the aerodynamic analysis of the mask of car on fast trains, which is relevant to the development of the National Railway Master Plan (RIPNAS) which states that fast trains will be verified in 2025. This research aims to simulate the aerodynamics of high-speed trains with speeds of 100 km/h, 200 km/h, 300 km/h, and a rail width of 1435 mm. This research analyzes several mask of car designs, including mask of car 1 as an alternative to the Intercity Express (ICE) 3 high-speed train, mask of car 2 as an alternative to the Automotrice Grande Vitesse (AGV) Italo high-speed train, mask of car 3 as an alternative to the Pamela Jones high-speed train, and mask of car 4 as an alternative to the Jakarta Bandung High Speed Train (KCJB). The method used in this research is an experimental quantitative method with aerodynamic analysis using Computational Fluid Dynamics (CFD) through Ansys Workbench 2023 software. The results show that the mask of car 3 design has the lowest drag coefficient.
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