An Investigation of the Suspension Characteristics of the Line Model of the Vehicle Using the Taguchi Method
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University of Kragujevac, Faculty of Engineering, Kragujevac, Serbia
College of Technical Engineering, Al-Farahidi University, Iraq
Air Conditioning and Refrigeration Techniques Engineering Department, Al-Mustaqbal University College, Babylon, Iraq
Department of Energy Engineering, College of Engineering, University of Baghdad, Baghdad, 10003, Iraq; Department of Mechanics, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan; System Technologies and Engineering Design Methodology, Hamburg University of Technology, 21073, Hamburg, Germany
Online publication date: 2022-12-03
Publication date: 2022-12-01
International Journal of Applied Mechanics and Engineering 2022;27(4):170-178
It can be considered that the suspension system is one of the most important systems in the VEHICLE. Where it is responsible for the stability and balance of the vehicle’s structure on the roads and curves to ensure the comfort of passengers. Also, it absorbs the shocks resulting from the unevenness of the road and prevents it from reaching the wheelhouse. The influence of the suspension constructive parameters in order to obtain the smallest level of displacements of the sprung mass has been investigated. The following control parameters are the stiffness of the sprung, unsprung mass, and the damping of the sprung mass. The parameter which affects most displacements of the sprung mass was determined by applying the analysis of variance (ANOVA). The investigation was conducted using MATLAB/SIMULINK software, and a line model of a quarter of the vehicle was created. It was determined that the stiffness of sprung has the most significant influence on the displacement of the sprung-mass, which further affect the vehicle’s comfort.
Jankovic A. (2008): Car Dynamics.– Faculty of Mechanical Engineering, University of Kragujevac, Kragujevac.
Yudianto A., N Kurniadi, I., Adiyasa W. and Arifin. Z. (2019): The effect of masses in the determination of optimal suspension damping coefficient.– Journal of Physics: Conference Series, vol.1723, Article ID.012073, DOI 10.1088/1742-6596/1273/1/012067.
Tak T. and Chung S. (2000): An optimal design software for vehicle suspension systems.– SAE Automotive Dynamics and Stability Conference, Troy, Mich, USA, May 2000, 2000-01-1618.
Harris C.M. and Piersol A.G. (2002): Harris’ Shock and Vibration Handbook.– (5th edition), McGraw-Hill, New York.
Ashtekar J.B. and Thakur A.G. (2014): Simulink model of suspension system and it’s validation on suspension test rig.– International Journal Mechanical Engineering & Robotics Research, vol.3, No.3, pp.811-818.
Verros G., Natsiavas S. and Papadimitriou C. (2005): Design optimization of quarter-car models with passive and semi-active suspensions under random road excitation.– Journal of Vibration and Control, vol.11, No.5, pp.581-606.
Materdey A. (2018): Higher-Order Numerical Solutions of the Quarter Car Suspension Model. –Proceedings of the 4th World Congress on Mechanical, Chemical, and Material Engineering (MCM’18), Madrid, Spain, Article.No.135, DOI: 10.11159/icmie18.135.
Maher D. and Young P. (2010): An insight into linear quarter car model accuracy.– International Journal of Vehicle Mechanics and Mobility, vol.49, No.3, pp.1966-1981.
Türkay S. and Akçay H. (2005): A study of random vibration characteristics of the quarter-car model.– Journal of Sound and Vibration, vol.282, No.1-2, pp.111-124.
John E.D., Ekoru J.E.D., Dahunsi O.A. and Pedro J.O. (2011): PID Control of a Nonlinear Half-Car Active Suspension System via Force Feedback.– IEEE Africon 2011 - The Falls Resort and Conference Centre, Livingstone, Zambia.
Aldair A. A. and Wang W.J. (2011): A neurofuzzy controller for full vehicle active suspension systems.– Journal of Vibration and Control, vol.18, No.12, pp.1837-1854.
Sun X.M., Chu Y., Fan J. and Yang Q. (2012): Research of simulation on the effect of suspension damping on vehicle ride.– Energy Procedia, vol.17, Part A, pp.145-151.
Çakan A., Botsalı F.M. and Tınkır M. (2014): Modeling and controller comparison for quarter car suspension system by using pid and type-1 fuzzy logic.– Applied Mechanics and Materials, vol.598, pp.524-528.
Grujic I., Miloradovic D. and Stojanovic N. (2016): Nonlinear kinematics of engine crank-piston mechanism.– The Ninth International Symposium Machine and Industrial Design in Mechanical Engineering, KOD 2016, pp.93-98.
Lee D-H., Yoon D-S. and Kim G-W. (2021): New indirect tire pressure monitoring system enabled by adaptive extended kalman filtering of vehicle suspension systems.– Electronics, vol.10, No.11, 1359.
Köksoy O. and Zeybek M. (2019): An efficient loss function approach to optimize correlated multi-responses.– International Journal of Industrial Engineering, vol.26, No.2, pp.221-235.
Abdullah, I.O., Stojanovic, N. and Grujic I. (2022): The influence of the braking disc ribs and applied material on the natural frequency”.– International Journal of Precision Engineering and Manufacturing, vol.23, No.1, pp.87-97.
Ebrahimi-Nejad S., Kheybari M. and Nourbakhsh Borujerd S.V. (2020): Multi-objective optimization of a sports car suspension system using simplified quarter-car models.– Mechanics & Industry, vol.21, Article ID.412, p.12.
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