Dynamic optimization of tracked vehicle power train based on torsional vibration analysis

Aiming at the vehicle power train, system dynamic optimization is profoundly studied based on the system torsional vibration characteristics analysis. First, based on the concentrated mass method, the general torsional vibration model of vehicle power train is established and solved after parameters...

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Main Authors: Shengping Fu, Shengbo Li, Ning Luo, Mishchenko Elena
Format: Article
Language:English
Published: SAGE Publishing 2016-05-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814016647304
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spelling doaj-c009c7731acc43598f69820c19013da12020-11-25T03:20:34ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-05-01810.1177/168781401664730410.1177_1687814016647304Dynamic optimization of tracked vehicle power train based on torsional vibration analysisShengping Fu0Shengbo Li1Ning Luo2Mishchenko Elena3School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, P.R. ChinaSchool of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, P.R. ChinaSchool of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, P.R. ChinaFaculty of Agricultural Machinery and Power Supply, Orel State Agrarian University, Orel, RussiaAiming at the vehicle power train, system dynamic optimization is profoundly studied based on the system torsional vibration characteristics analysis. First, based on the concentrated mass method, the general torsional vibration model of vehicle power train is established and solved after parameters’ (inertia, stiffness, and damping) matrix and mathematic constraint conditions are acquired. Furthermore, both free vibration and forced vibration characteristics are analyzed. Second, the effects of the coupling stiffness on the dynamics behaviors of power train are thoroughly analyzed. The sensitivity analysis procedure is explored. And sensitivity models of both free and forced vibration feature parameters are deduced. Finally, dynamic optimization theory model and program are constructed based on genetic algorithm. The optimization results indicate that the proposed optimization method could contribute to the sharp attenuation of system torsional vibration.https://doi.org/10.1177/1687814016647304
collection DOAJ
language English
format Article
sources DOAJ
author Shengping Fu
Shengbo Li
Ning Luo
Mishchenko Elena
spellingShingle Shengping Fu
Shengbo Li
Ning Luo
Mishchenko Elena
Dynamic optimization of tracked vehicle power train based on torsional vibration analysis
Advances in Mechanical Engineering
author_facet Shengping Fu
Shengbo Li
Ning Luo
Mishchenko Elena
author_sort Shengping Fu
title Dynamic optimization of tracked vehicle power train based on torsional vibration analysis
title_short Dynamic optimization of tracked vehicle power train based on torsional vibration analysis
title_full Dynamic optimization of tracked vehicle power train based on torsional vibration analysis
title_fullStr Dynamic optimization of tracked vehicle power train based on torsional vibration analysis
title_full_unstemmed Dynamic optimization of tracked vehicle power train based on torsional vibration analysis
title_sort dynamic optimization of tracked vehicle power train based on torsional vibration analysis
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2016-05-01
description Aiming at the vehicle power train, system dynamic optimization is profoundly studied based on the system torsional vibration characteristics analysis. First, based on the concentrated mass method, the general torsional vibration model of vehicle power train is established and solved after parameters’ (inertia, stiffness, and damping) matrix and mathematic constraint conditions are acquired. Furthermore, both free vibration and forced vibration characteristics are analyzed. Second, the effects of the coupling stiffness on the dynamics behaviors of power train are thoroughly analyzed. The sensitivity analysis procedure is explored. And sensitivity models of both free and forced vibration feature parameters are deduced. Finally, dynamic optimization theory model and program are constructed based on genetic algorithm. The optimization results indicate that the proposed optimization method could contribute to the sharp attenuation of system torsional vibration.
url https://doi.org/10.1177/1687814016647304
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AT shengboli dynamicoptimizationoftrackedvehiclepowertrainbasedontorsionalvibrationanalysis
AT ningluo dynamicoptimizationoftrackedvehiclepowertrainbasedontorsionalvibrationanalysis
AT mishchenkoelena dynamicoptimizationoftrackedvehiclepowertrainbasedontorsionalvibrationanalysis
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