Minimising drag coefficient of a hatchback car utilising fractional factorial design algorithm

Authors

  • Mehrdad Vahdati Mechanical Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran http://orcid.org/0000-0001-8557-6508
  • Sajjad Beigmoradi Mechanical Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran
  • Alireza Batooei Mechanical Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran

Keywords:

Vehicle aerodynamics, drag reduction, fractional factorial design, computational fluid dynamics

Abstract

Aerodynamic force is known as one of the most important attributes, which has significant weight on fuel consumption and vehicle performance. In this paper, minimising drag coefficient is performed considering modification of rear end factors. To this end, five geometrical parameters of a hatchback car are chosen as design factors in two levels: (1) rear spoiler length, (2) rear spoiler angle, (3) rear diffuser angle, (4) boat tail angle (5) fifth door height. Main and interaction effects of these factors on drag coefficient are investigated using design of experiments and optimum level for each parameter is achieved. Computational fluid dynamic method is applied to evaluate air stream around the car. To reduce the number of simulations fraction, factorial design algorithm is applied which decreased the number of case studies to half. Characteristics of airflow around optimum car model are discussed and reported at the end.

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Published

2018-08-01

How to Cite

Vahdati, M., Beigmoradi, S., & Batooei, A. (2018). Minimising drag coefficient of a hatchback car utilising fractional factorial design algorithm. European Journal of Computational Mechanics, 27(4), 322–341. Retrieved from https://journals.riverpublishers.com/index.php/EJCM/article/view/786

Issue

Section

Original Article