Dynamic Simulation of a Motor Vehicle in Virtual Prototyping Environment

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In this paper, we attempt to carry out the dynamic analysis of a motor vehicle, using the virtual prototype developed with the MBS (Multi-Body Systems) software ADAMS. The virtual prototype includes the front and the rear suspension subsystems, the steering subsystem, and the car body subsystem. The experiment designed is one frequently carried by the automotive manufacturers, namely passing over bumps. The connection between wheels (tires) and road (ground) is made using contact forces, which allow modelling how adjacent bodies interact with one another when they collide during the simulation. On the virtual prototype, several measurements have been realized having in view to evaluate the dynamic behaviour of the vehicle.

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369-374

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] A. Bernard: Virtual engineering - methods and tools, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture Vol. 219 (2005), pp.413-421.

DOI: 10.1243/095440505x32238

Google Scholar

[2] E. Fischer: Standard multi-body system software in the vehicle development process, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics Vol. 221 (2007), pp.13-20.

DOI: 10.1243/1464419jmbd59

Google Scholar

[3] E.J. Haug, K.K. Choi, J.G. Kuhl and J.D. Vargo: Virtual prototyping simulation for design of mechanical systems, Journal of Mechanical Design Vol. 117 (1995), pp.63-70.

DOI: 10.1115/1.2836472

Google Scholar

[4] X.C. Wang, Y.F. Cao, L.K. Zhuang, X.H. Liu, M. Ding and Z.J. Liu: Collaborative modeling approach for virtual prototype of complex systems, Journal of University of Electronic Science and Technology of China Vol. 42 (2013), pp.648-655.

Google Scholar

[5] X.C. Wang, Y.F. Cao, L.K. Zhuang, X.H. Liu, M. Ding and Z.J. Liu: Virtual prototype design environments of flight control system based on rhapsody, Journal of Vibration, Measurement and Diagnosis (Zhendong Ceshi Yu Zhenduan) Vol. 33 (2013).

Google Scholar

[6] C. Alexandru: Software platform for analyzing and optimizing the mechanical systems, Proceedings of the 10th IFToMM International Symposium on Science of Mechanisms and Machines - SYROM, pp.665-677 (2009).

DOI: 10.1007/978-90-481-3522-6_56

Google Scholar

[7] Ş. Staicu: Dynamics analysis of the Star parallel manipulator, Robotics and Autonomous Systems Vol. 57 (2009), pp.1057-1064.

DOI: 10.1016/j.robot.2009.07.005

Google Scholar

[8] Ş. Staicu: Dynamics of the 6-6 Stewart parallel manipulator, Robotics and Computer-Integrated Manufacturing Vol. 27 (2011), pp.212-220.

DOI: 10.1016/j.rcim.2010.07.011

Google Scholar

[9] C. Alexandru: Dynamic analysis of the guiding mechanisms used for the rear axle of the commercial vehicles, International Review of Mechanical Engineering Vol. 3 (2009), pp.1-6.

Google Scholar

[10] J.H. Ezeta, A. Mandow and A.C. Cerezo: Active and semi-active suspension systems: A review, Revista Iberoamericana de Automática e Informática Industrial Vol. 10 (2013), pp.121-132.

DOI: 10.1016/j.riai.2013.03.002

Google Scholar

[11] S. Formentin and A. Karimi: A data-driven approach to mixed-sensitivity control with application to an active suspension system, IEEE Transactions on Industrial Informatics Vol. 9 (2013), pp.2293-2300.

DOI: 10.1109/tii.2012.2220556

Google Scholar

[12] S. Lavanya and K. Rajeswari: Look-ahead fuzzy logic controller for vehicle suspension system, Proceedings of the International Conference on Emerging Trends in Computing, Communication and Nanotechnology, pp.634-639 (2013).

DOI: 10.1109/ice-ccn.2013.6528577

Google Scholar

[13] V. Patil, G. Pawar and S. Patil: A comparative study between the vehicles passive and active suspensions, International Journal of Engineering Research and Applications Vol. 3 (2013), pp.774-777.

Google Scholar

[14] V. Ţoţu and C. Alexandru: Multi-criteria kinematic optimization of a front multi-link suspension mechanism using DOE screening and regression model, Applied Mechanics and Materials Vol. 332 (2013), pp.351-356.

DOI: 10.4028/www.scientific.net/amm.332.351

Google Scholar

[15] V. Ţoţu and C. Alexandru: Dynamic analysis of a multi-link suspension mechanism with compliant joints, Bulletin of the Transilvania University of Braşov - Series I Vol. 6 (2013), pp.33-38.

Google Scholar