NUMERICAL ANALYSIS OF THE DRAG COEFFICIENT OF A MOTORCYCLE HELMET
Zbigniew CZYŻ
z.czyz@pollub.plDepartment of Thermodynamics, Fluid Mechanics and Aviation Propulsion Systems, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin (Poland)
Paweł KARPIŃSKI
* Department of Thermodynamics, Fluid Mechanics and Aviation Propulsion Systems, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin (Poland)
Tacetdin SEVDIM
Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Altinbas University, Mahmutbey Mah, Mahmutbey Dilmenler Cad 26, 34218 Bagcılar/Istanbul (Poland)
Abstract
The paper discusses a numerical investigation, using a CFD tool, ANSYS FLUENT, of drag acting on a motorcycle helmet. The simulations were performed on a model of a helmet downloaded from a free CAD model library. A solid model enabled us to generate a mesh, to define boundary conditions and to specify a model of turbulence. Accordingly, the values of forces acting on individual sections of the helmet were obtained and the coefficients of aerodynamic drag were calculated. The test results can be used to optimize the shape of the existing motorcycle helmet construction and to study the impact of generated drag forces on reaction forces affecting a motorcyclist’s body.
Keywords:
numerical analysis, CFD, drag coefficient, motorcycle helmetReferences
Alam, F., Chowdhurya, H., Zhi Weia, H., Mustarya, I., & Zimmerb, G. (2014). Aerodynamics of ribbed bicycle racing helmets. Procedia Engineering, 72, 691–696. https://doi.org/10.1016/j.proeng.2014.06.117
DOI: https://doi.org/10.1016/j.proeng.2014.06.117
Google Scholar
Beaumont, F., Taiara, R., Polidori, G., Trenchard, H., & Grappe, F. (2018). Aerodynamic study of timetrial helmets in cycling racing using CFD analysis. Journal of Biomechanics, 67, 1–8. https://doi.org/10.1016/j.jbiomech.2017.10.042
DOI: https://doi.org/10.1016/j.jbiomech.2017.10.042
Google Scholar
Blocken, B., & Toparlar, Y. (2015). A following car influences cyclist drag: CFD simulations and wind tunnel measurements. Journal of Wind Engineering and Industrial Aerodynamics, 145, 178–186. https://doi.org/10.1016/j.jweia.2015.06.015
DOI: https://doi.org/10.1016/j.jweia.2015.06.015
Google Scholar
Blocken, B., Defraeye, T., Koninckx, E., Carmeliet, J., & Hespel, P. (2013). CFD simulations of the aerodynamic drag of two drafting cyclists. Computers & Fluids, 71, 435–445. https://doi.org/10.1016/j.compfluid.2012.11.012
DOI: https://doi.org/10.1016/j.compfluid.2012.11.012
Google Scholar
Blocken, B., Toparlar, Y., & Andrianne, T. (2016). Aerodynamic benefit for a cyclist by a following motorcycle. Journal of Wind Engineering and Industrial Aerodynamics, 155, 1–10. https://doi.org/10.1016/j.jweia.2016.04.008
DOI: https://doi.org/10.1016/j.jweia.2016.04.008
Google Scholar
Brownlie, L., Kyle, C., Carbo, J., Demarest, N., & Harber, E. (2009). Streamlining the time trial apparel of cyclists: the Nike Swift Spin project. Sports Technology, 2, 53–60. https://doi.org/10.1002/jst.12
DOI: https://doi.org/10.1080/19346182.2009.9648499
Google Scholar
Brownlie, L., Ostafichuk, P., Tews, E., Muller, H., Briggs, E., & Franks, K. (2010). The windaveraged aerodynamic drag of competitive time trial cycling helmets. Procedia Engineering, 2, 2419–2424. https://doi.org/10.1016/j.proeng.2010.04.009
DOI: https://doi.org/10.1016/j.proeng.2010.04.009
Google Scholar
Fernandes, F. A., & Alves de Sousa, R. J. (2013). Motorcycle helmets – a state of the art review. Accident Analysis & Prevention, 56, 1-21. https://doi.org/10.1016/j.aap.2013.03.011
DOI: https://doi.org/10.1016/j.aap.2013.03.011
Google Scholar
Rice, T. M., Troszak, L., Ouellet, J. V., Erhardt, T., Smith, G. S., & Tsai, B.W. (2016). Motorcycle helmet use and the risk of head, neck, and fatal injury: Revisiting the Hurt Study. Accident Analysis and Prevention, 91, 200–207. https://doi.org/10.1016/j.aap.2016.03.002
DOI: https://doi.org/10.1016/j.aap.2016.03.002
Google Scholar
United Nations Economic Commission for Europe. (2016). The United Nations Motorcycle Helmet
Google Scholar
Study, United Nations, New York and Geneva. https://doi.org/10.18356/82cd1e4b-en
DOI: https://doi.org/10.18356/82cd1e4b-en
Google Scholar
Authors
Zbigniew CZYŻz.czyz@pollub.pl
Department of Thermodynamics, Fluid Mechanics and Aviation Propulsion Systems, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin Poland
Authors
Paweł KARPIŃSKI* Department of Thermodynamics, Fluid Mechanics and Aviation Propulsion Systems, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin Poland
Authors
Tacetdin SEVDIMDepartment of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Altinbas University, Mahmutbey Mah, Mahmutbey Dilmenler Cad 26, 34218 Bagcılar/Istanbul Poland
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