Study of the variation of the leading edge of a railway crane on the aerodynamic characteristics
DOI:
https://doi.org/10.58712/jerel.v3i2.145Keywords:
Industry, innovation and infrastructure, Responsible consumption and production, Simulation research, Train designAbstract
The front body design of the railway crane is flat or bluff type. The design causes a large drag, so the railway crane requires high fuel consumption to drive. Therefore, this study aims to modify the front body of the railway crane by applying the shape of the leading edge to reduce drag. This research also investigates the effect of leading-edge angles on aerodynamic characteristics. The method used is computational fluid dynamics, using the flow simulation feature of the Solidworks research licence software. This study considered three variations of leading edge angle (40°, 45° and 50°). The simulation results show that the larger the leading edge angle, the lower the drag coefficient value. In addition, the simulation shows that there is a high air pressure at the front of the railway crane with the bluff shape, while the modified railway crane with the leading edge applied has a lower air pressure at the front. Furthermore, the results and discussion in this article present the simulation results showing the velocity streamline and pressure contour of each model.
Downloads
References
Aldio, M. F., Waskito, W., Purwantono, P., & Lapisa, R. (2023). Optimization of impeller blade number in centrifugal pump for crude oil using Solidworks Flow Simulation. Journal of Engineering Researcher and Lecturer, 2(3), 80–93. https://doi.org/10.58712/jerel.v2i3.116
Arafat, M., & Ishak, I. A. (2022). CFD Analysis of the Flow around Simplified Next-Generation Train Subjected to Crosswinds at Low Yaw Angles. CFD Letters, 14(3), 129–139. https://doi.org/10.37934/cfdl.14.3.129139
Arafat, M., Ishak, I. A., Mohammad, A. F., Khalid, A., Jaát, Md. N. M., & Yasak, M. F. (2023). Effect of Reynolds number on the wake of a Next-Generation High-Speed Train using CFD analysis. CFD Letters, 15(1), 76–87. https://doi.org/10.37934/cfdl.15.1.7687
Fragner, M. M., & Deiterding, R. (2018). Investigating Side-Wind Stability of High Speed Trains Using High Resolution Large Eddy Simulations and Hybrid Models (pp. 223–241). https://doi.org/10.1007/978-3-319-54490-8_14
Gan, E. C. J., Fong, M., & Ng, Y. L. (2020). CFD analysis of slipstreaming and side drafting techniques concerning aerodynamic drag in nascar racing. CFD Letters, 12(7), 1–16. https://doi.org/10.37934/cfdl.12.7.116
Iwnicki, S. (2006). Handbook of railway vehicle dynamics. In Handbook of Railway Vehicle Dynamics. https://doi.org/10.1201/9781420004892
Luo, J., Li, M., Chen, X., Ye, L., Xu, H., Liu, Z., Tie, Y., Xu, S., & Jiang, C. (2023). Review on aerodynamic characteristics and energy recovery of vehicle platoon. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. https://doi.org/10.1177/09544070231204104
Nath, D. S., Pujari, P. C., Jain, A., & Rastogi, V. (2021). Drag reduction by application of aerodynamic devices in a race car. Advances in Aerodynamics, 3(1). https://doi.org/10.1186/s42774-020-00054-7
Ragavan, T., Palanikumar, S., Anastraj, D., & Arulalagan, R. (2014). Aerodynamic Drag Reduction on Race Cars. Journal of Basic and Applied Engineering Research, 1(4).
Salmat, S., Yanti Sari, D., Fernanda, Y., & Prasetya, F. (2023). SolidWorks Flow Simulation: Selecting the optimal mesh for conducting CFD analysis on a centrifugal fan. Journal of Engineering Researcher and Lecturer, 2(3), 94–103. https://doi.org/10.58712/jerel.v2i3.104
Sun, Z., Yao, S., Wei, L., Yao, Y., & Yang, G. (2021). Numerical Investigation on the Influence of the Streamlined Structures of the High-Speed Train’s Nose on Aerodynamic Performances. Applied Sciences, 11(2), 784. https://doi.org/10.3390/app11020784
Volk, A., Ghia, U., & Liu, G. R. (2018). Assessment of CFD-DEM solution error against computational cell size for flows through a fixed-bed of binary-sized particles. Powder Technology, 325, 519–529. https://doi.org/10.1016/j.powtec.2017.11.051
Weinman, K. A., Fragner, M., Deiterding, R., Heine, D., Fey, U., Braenstroem, F., Schultz, B., & Wagner, C. (2018). Assessment of the mesh refinement influence on the computed flow-fields about a model train in comparison with wind tunnel measurements. Journal of Wind Engineering and Industrial Aerodynamics, 179, 102–117. https://doi.org/10.1016/j.jweia.2018.05.005
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Willy Hardi Vernando, Andre Kurniawan, Randi Purnama Putra
This work is licensed under a Creative Commons Attribution 4.0 International License.
Most read articles by the same author(s)
- Aprilla Fortuna, Waskito, Purwantono, Andre Kurniawan, Welli Andriani, Masnaini Alimin, Designing Learning Media Using Augmented Reality for Engineering Mechanics Course , Journal of Engineering Researcher and Lecturer: Vol. 2 No. 1 (2023): Regular Issue
- Angga Hermawansyah, Andre Kurniawan, Sein Laer Yi Win, Nanang Qosim, Syamsul Bahri Biki, Apri Wiyono, Efficiency comparison of fin heatsink models using solidworks thermal analysis , Journal of Engineering Researcher and Lecturer: Vol. 2 No. 2 (2023): Regular Issue
- Roki Putra Anwar, Andre Kurniawan, Mulianti, Zainal Abadi, Analysis and control of occupational safety risks using the HIRARC method in the Machining Workshop , Journal of Engineering Researcher and Lecturer: Vol. 3 No. 2 (2024): Regular Issue