Optimization of Classical Hydraulic Engine Mounts Based on RMS Method
Based on RMS averaging of the frequency response functions of the absolute acceleration and relative displacement transmissibility, optimal parameters describing the hydraulic engine mount are determined to explain the internal mount geometry. More specifically, it is shown that a line of minima exi...
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Hindawi Limited
2005-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2005/653945 |
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doaj-17a0f074f8614fb5abee01ea3a27ab532020-11-24T22:48:13ZengHindawi LimitedShock and Vibration1070-96221875-92032005-01-0112211914710.1155/2005/653945Optimization of Classical Hydraulic Engine Mounts Based on RMS MethodJ. Christopherson0G. Nakhaie Jazar1Department of Mechanical Engineering and Applied Mechanics, North Dakota State University, Fargo, ND 58105, USADepartment of Mechanical Engineering and Applied Mechanics, North Dakota State University, Fargo, ND 58105, USABased on RMS averaging of the frequency response functions of the absolute acceleration and relative displacement transmissibility, optimal parameters describing the hydraulic engine mount are determined to explain the internal mount geometry. More specifically, it is shown that a line of minima exists to define a relationship between the absolute acceleration and relative displacement transmissibility of a sprung mass using a hydraulic mount as a means of suspension. This line of minima is used to determine several optimal systems developed on the basis of different clearance requirements, hence different relative displacement requirements, and compare them by means of their respective acceleration and displacement transmissibility functions. In addition, the transient response of the mount to a step input is also investigated to show the effects of the optimization upon the time domain response of the hydraulic mount.http://dx.doi.org/10.1155/2005/653945 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. Christopherson G. Nakhaie Jazar |
spellingShingle |
J. Christopherson G. Nakhaie Jazar Optimization of Classical Hydraulic Engine Mounts Based on RMS Method Shock and Vibration |
author_facet |
J. Christopherson G. Nakhaie Jazar |
author_sort |
J. Christopherson |
title |
Optimization of Classical Hydraulic Engine Mounts Based on RMS Method |
title_short |
Optimization of Classical Hydraulic Engine Mounts Based on RMS Method |
title_full |
Optimization of Classical Hydraulic Engine Mounts Based on RMS Method |
title_fullStr |
Optimization of Classical Hydraulic Engine Mounts Based on RMS Method |
title_full_unstemmed |
Optimization of Classical Hydraulic Engine Mounts Based on RMS Method |
title_sort |
optimization of classical hydraulic engine mounts based on rms method |
publisher |
Hindawi Limited |
series |
Shock and Vibration |
issn |
1070-9622 1875-9203 |
publishDate |
2005-01-01 |
description |
Based on RMS averaging of the frequency response functions of the absolute acceleration and relative displacement transmissibility, optimal parameters describing the hydraulic engine mount are determined to explain the internal mount geometry. More specifically, it is shown that a line of minima exists to define a relationship between the absolute acceleration and relative displacement transmissibility of a sprung mass using a hydraulic mount as a means of suspension. This line of minima is used to determine several optimal systems developed on the basis of different clearance requirements, hence different relative displacement requirements, and compare them by means of their respective acceleration and displacement transmissibility functions. In addition, the transient response of the mount to a step input is also investigated to show the effects of the optimization upon the time domain response of the hydraulic mount. |
url |
http://dx.doi.org/10.1155/2005/653945 |
work_keys_str_mv |
AT jchristopherson optimizationofclassicalhydraulicenginemountsbasedonrmsmethod AT gnakhaiejazar optimizationofclassicalhydraulicenginemountsbasedonrmsmethod |
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1725679062082387968 |