International Journal of Computational Intelligence Systems

Volume 4, Issue 3, May 2011, Pages 314 - 320

Multi-Body Dynamics Simulation of A Tracked Vehicle Power Train in Consideration of Multi-Source Excitations

Authors
Hui Liu, Shengping Fu, Changle Xiang
Corresponding Author
Shengping Fu
Received 24 February 2011, Accepted 20 April 2011, Available Online 1 May 2011.
DOI
10.2991/ijcis.2011.4.3.4How to use a DOI?
Keywords
Multi-source dynamic excitations; Tracked vehicle; Power gear transmission system; Multi-body dynamic simulation
Abstract

This study proposed a new efficient method to investigate tracked vehicle gear transmission system dynamics applying Finite element theory and multi-body dynamics. Torsional excitation was simulated based on an engine dynamic model by considering flexibility of crankshaft, maximum fire pressure and variable inertia. Gear mesh stiffness coefficient, mesh error excitation, bearing dynamic stiffness coefficient and damping coefficient were numerically calculated. The virtual prototype model of power train system including all aforementioned excitations was constructed. Dynamic responses of transmission shaft working with multi-source excitations were analyzed.

Copyright
© 2011, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
4 - 3
Pages
314 - 320
Publication Date
2011/05/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2011.4.3.4How to use a DOI?
Copyright
© 2011, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Hui Liu
AU  - Shengping Fu
AU  - Changle Xiang
PY  - 2011
DA  - 2011/05/01
TI  - Multi-Body Dynamics Simulation of A Tracked Vehicle Power Train in Consideration of Multi-Source Excitations
JO  - International Journal of Computational Intelligence Systems
SP  - 314
EP  - 320
VL  - 4
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.3.4
DO  - 10.2991/ijcis.2011.4.3.4
ID  - Liu2011
ER  -