Authors :
Dr. Anil Sahu; Nikhil Koli
Volume/Issue :
Volume 11 - 2026, Issue 7 - July
Google Scholar :
https://tinyurl.com/3tze2ywh
Scribd :
https://tinyurl.com/ycyp8t9s
DOI :
https://doi.org/10.38124/ijisrt/26jul191
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
High-speed trains have transformed modern transportation by providing fast and efficient travel options. However, the higher speeds and energy requirements of these trains have posed substantial challenges in managing thermal loads and ensuring the safety and efficiency of their radiator systems. This abstract presents a study on the design and optimization of high-speed train radiator systems, employing Ansys Computational Fluid Dynamics (CFD) for advanced analysis and enhancement. This research primarily aims to develop innovative radiator system designs specifically tailored to the unique demands of high-speed trains. This study utilizes Ansys CFD to perform comprehensive simulations and analyses aimed at optimizing airflow patterns, heat dissipation, and the overall performance of the radiator system. Furthermore, the study will examine how external factors, including fluctuating environmental conditions and train speeds, influence the performance of the radiator systems. The objective of this project is to investigate how various parameters—including radiator core shape, working fluid flow direction, frontal area, fin and tube spacing, coolant mass flow rate, fin material, tube pitch, fluid velocity, and inlet coolant temperature—affect automobile radiator efficiency in order to determine an optimized geometry through parametric analysis. The computational fluid dynamics (CFD) simulations were conducted to compare heat transfer and pressure drop across heat exchangers with varying parameters to identify optimal performance. The CFD results show a high degree of correlation with the actual experimental data. Various studies indicate that CFD has proven highly effective in reducing both the time and cost from concept to production.
Keywords :
Radiator, Heat Exchanger, CFD Analysis & Optimization.
References :
- Mr. Shanker T, Mr. Periyannan (2021) Design And Analysis of Circular Radiator SSRG International Journal of Mechanical Engineering Volume 8 Issue 4, 25-29, April 2021 ISSN: 2348 – 8360 /doi:10.14445/23488360/IJME-V8I4P103 ©2021 Seventh Sense Research Group.
- Chavan D. K & Tasgaonkar G. S (2013) “Study, Analysis And Design Of Automobile Radiator (Heat Exchanger) Proposed With Cad Drawings And Geometrical Model Of The Fan” ISSN 2249-6890 Vol. 3, Issue 2, Jun 2013, 137-146
- Syed Abuthahir.M, Vivek Sidharth.R, Swaminathan.R3, Joseph Manickam.A (2016) “Design Modification and Analysis of Helical Fins Used in Locomotive Engines Radiator” Vol. 5, Issue 5, May 2016
- Wenbin Qiu, Qiyuan Yu, Jinyuan Zhao (2017) “Research and Analysis of Cooling System for Diesel Locomotive”
- Ramesh J. Ladumor, Prof. V. Y Gajjar, Prof. K.K.Araniya (2014) “A Review Paper on Analysis of Automobile Radiator” Volume I Issue VIII, ISSN 2321-2705
- Hiyam Adil Habeeb, Ahmed Esmael Mohan (2020) “Analysis of Engine Radiator Performance at Different Coolant Concentrations and Radiator Materials” ISSN: 2277-3878, Volume-8 Issue-6, March 2020
- Qiong Jia, Jianbin Zang, Deng Pan, (2015) “Analysis of high speed train equipment cabin temperature field based on numerical simulation” Procedia Engineering 121 ( 2015 ) 1954 – 1961
- Upendra Kulshrestha, Gaurav Kumar Manu Augustine and Sanjay Mittal (2014) “CFD Analysis of Automobile Radiator – A Review” (IJERA) ISSN: 2248- 9622
- Sudalai Suresh Pungaiah, and Chidambara Kuttalam Kailasanathan (2020) “Thermal Analysis and Optimization of Nano Coated Radiator Tubes Using Fluid Dynamics and Taguchi Method”
- Prof. V. C. Pathade, Sagar R. Satpute , Mayur G. Lajurkar, Gopal R. Pancheshwar Tushar K. Karluke, Niranjan H. Singitvar (2017) “Design And Analysis Of Car Radiator By Finite Element Method” Vol-3 Issue-2 2017 IJARIIEISSN( O)-2395-4396
High-speed trains have transformed modern transportation by providing fast and efficient travel options. However, the higher speeds and energy requirements of these trains have posed substantial challenges in managing thermal loads and ensuring the safety and efficiency of their radiator systems. This abstract presents a study on the design and optimization of high-speed train radiator systems, employing Ansys Computational Fluid Dynamics (CFD) for advanced analysis and enhancement. This research primarily aims to develop innovative radiator system designs specifically tailored to the unique demands of high-speed trains. This study utilizes Ansys CFD to perform comprehensive simulations and analyses aimed at optimizing airflow patterns, heat dissipation, and the overall performance of the radiator system. Furthermore, the study will examine how external factors, including fluctuating environmental conditions and train speeds, influence the performance of the radiator systems. The objective of this project is to investigate how various parameters—including radiator core shape, working fluid flow direction, frontal area, fin and tube spacing, coolant mass flow rate, fin material, tube pitch, fluid velocity, and inlet coolant temperature—affect automobile radiator efficiency in order to determine an optimized geometry through parametric analysis. The computational fluid dynamics (CFD) simulations were conducted to compare heat transfer and pressure drop across heat exchangers with varying parameters to identify optimal performance. The CFD results show a high degree of correlation with the actual experimental data. Various studies indicate that CFD has proven highly effective in reducing both the time and cost from concept to production.
Keywords :
Radiator, Heat Exchanger, CFD Analysis & Optimization.
