國立虎尾科技大學 |

Language: English

Back

Vehicle suspension optimization for ...

The University of Texas at Arlington.

Vehicle suspension optimization for stochastic inputs.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Vehicle suspension optimization for stochastic inputs./
Author:	Inamdar, Kailas Vijay.
Description:	74 p.
Notes:	Source: Masters Abstracts International, Volume: 50-04, page: 2639.
Contained By:	Masters Abstracts International50-04.
Subject:	Engineering, Automotive. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1506971
ISBN:	9781267207807

Vehicle suspension optimization for stochastic inputs.
Inamdar, Kailas Vijay.

Vehicle suspension optimization for stochastic inputs. - 74 p.

Source: Masters Abstracts International, Volume: 50-04, page: 2639.

Thesis (M.S.)--The University of Texas at Arlington, 2011.

In the present thesis, a simulation based numerical method has been proposed for optimization of vehicle suspension system for stochastic inputs from random road surface profiles. Road surfaces are classified in based upon the power spectral density functions. The road surface is considered as a stationary stochastic process in time domain assuming constant vehicle speed. Using Fourier transforms, it is possible to generate the road surface elevations as a function of time.

ISBN: 9781267207807Subjects--Topical Terms:

845411
Engineering, Automotive.

Vehicle suspension optimization for stochastic inputs.
LDR:02189nam 2200313 4500 001 713072
005 20121003100407.5
008 121101s2011 ||||||||||||||||| ||eng d
020 $a 9781267207807
035 $a (UMI)AAI1506971
035 $a AAI1506971
040 $a UMI $c UMI
100 1 $a Inamdar, Kailas Vijay. $3 845703
245 1 0 $a Vehicle suspension optimization for stochastic inputs.
300 $a 74 p.
500 $a Source: Masters Abstracts International, Volume: 50-04, page: 2639.
500 $a Adviser: David A. Hullender.
502 $a Thesis (M.S.)--The University of Texas at Arlington, 2011.
520 $a In the present thesis, a simulation based numerical method has been proposed for optimization of vehicle suspension system for stochastic inputs from random road surface profiles. Road surfaces are classified in based upon the power spectral density functions. The road surface is considered as a stationary stochastic process in time domain assuming constant vehicle speed. Using Fourier transforms, it is possible to generate the road surface elevations as a function of time.
520 $a Time domain responses of the output of the suspension system are obtained using transfer function techniques. Optimum values of the damper constant are computed by simulation of the Quarter Car Model for generated stochastic inputs for good road holding and passenger ride comfort. A performance index minimization procedure is developed to find optimum damper constant value considering mutually conflicting requirements of ride comfort and road holding. The handling of the vehicle, cornering force, tractive force depends upon the road holding. The road holding capacity of the vehicle changes with change in vehicle speed as well as road roughness. A quantitative measure for deciding the road holding of the vehicle is defined.
590 $a School code: 2502.
650 4 $a Engineering, Automotive. $3 845411
650 4 $a Engineering, Mechanical. $3 845387
690 $a 0540
690 $a 0548
710 2 $a The University of Texas at Arlington. $b Mechanical Engineering. $3 845461
773 0 $t Masters Abstracts International $g 50-04.
790 1 0 $a Hullender, David A., $e advisor
790 1 0 $a Woods, Robert L. $e committee member
790 1 0 $a Subbarao, Kamesh $e committee member
790 $a 2502
791 $a M.S.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1506971

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library