Estimation of the Synchronization Time of a Transmission System through Multi Body Dynamic Analysis

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ISSN: 2278-0149 (Online)
Short Title: Int. J. Mech. Eng. Robot. Res.
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DOI: 10.18178/ijmerr
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Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.

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Home > Articles > All Issues > 2017 > Volume 6, No. 3, May 2017 >

A. Farokhi Nejad 1, G. Chiandussi 1, V. Solimine 2, and A. Serra 2

1. Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy
2. Department of Design and Virtual Validation, Oerlikon Graziano, Torino, Italy

Abstract—The essential component in transmission system is synchronizer. Synchronizer developed to obtain gear changing smoothly. Reducing the transmission time will increase the efficiency of the transmission system and minimize the energy loss during the shifting process. In order to achieve the optimized design, the time estimation for synchronizing process is necessary. In this present study, the multi body dynamic model is proposed to predict the synchronization time. For validation of the results two different synchronizer types, single cone and double cone were used in the test rig machine under different loading conditions. The results of multi body dynamic analysis were compared to experimental and analytical results and show that there is a good agreement between simulation and experimental results. Using the multi body dynamic analysis makes more accurate result to predict the synchronization dynamic behavior, especially synchronization time.

Index Terms—transmission system, synchronizer modeling, multi body dynamic, time estimation, rigid body motion

Cite: A. Farokhi Nejad, G. Chiandussi, V. Solimine, and A. Serra, "Estimation of the Synchronization Time of a Transmission System through Multi Body Dynamic Analysis," International Journal of Mechanical Engineering and Robotics Research, Vol. 6, No. 3, pp. 232-236, May 2017. DOI: 10.18178/ijmerr.6.3.232-236