Multi-objective optimization of hydraulic engine mounts vibrational behavior by non-dominated sorting genetic algorithm

Engine mounts are designed to hold the engine and isolate its vibration from the chassis of the vehicle. For optimum system performance, the mount must have high dynamic stiffness in the low-frequency range and low dynamic stiffness in the high-frequency range. As the conventional elastomeric mounts...

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Main Authors: F. Fallahi, R. Shabani, Gh. Rezazadeh, S. Tariverdilo
Format: Article
Language:fas
Published: Sharif University of Technology 2021-05-01
Series:مهندسی مکانیک شریف
Subjects:
Online Access:https://sjme.journals.sharif.edu/article_22311_0fe06e6765f416bd6ddad1bd82fef156.pdf
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author F. Fallahi
R. Shabani
Gh. Rezazadeh
S. Tariverdilo
author_facet F. Fallahi
R. Shabani
Gh. Rezazadeh
S. Tariverdilo
author_sort F. Fallahi
collection DOAJ
description Engine mounts are designed to hold the engine and isolate its vibration from the chassis of the vehicle. For optimum system performance, the mount must have high dynamic stiffness in the low-frequency range and low dynamic stiffness in the high-frequency range. As the conventional elastomeric mounts fail to satisfy such requirements due to their frequency-invariant behavior, the hydraulic engine mounts have been proposed, which provide appropriate dynamic stiffness employing two fluid-containing chambers. These two chambers are connected through a high-damped pass named inertia track and a floating plate named decoupler. In this paper, the low-frequency range response of a hydraulic engine mount has been studied using a discrete model. The effect of its parameters on the dynamic stiffness, damping ratio, and transmissibility of the mount is discussed. It is shown that increase in dynamic stiffness and damping ratio of the hydraulic engine mount is in contradiction with the decrease in its transmissibility. Hence, a multi-objective non-dominated sorting genetic algorithm has been used to achieve the desired results and the corresponding Pareto front is plotted. It is observed that upper chamber compliance and the effective area of the mount are the most dominant parameters in the optimization procedure. Also, a penalty function is used to transfer the maximum transmissibility out of the engine operation frequency range. Finally, the optimization results for transmissibility, damping ratio, and dynamic stiffness are presented for three series of parameters. It can be concluded that on the limit points of the Pareto front, which correspond to the one-objective optimization, the professed objective is optimized, but on the contradictory objective, no improvement is observed. There are points on the Pareto front where all the three objectives are optimized simultaneously. Therefore, as the transmissibility decreases and its maximum value falls out of the operating frequency range, the damping ratio and dynamic stiffness are increased.
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spelling doaj.art-8de4c120810442bc863056ac627ea5542023-12-03T07:27:25ZfasSharif University of Technologyمهندسی مکانیک شریف2676-47252676-47332021-05-0137.31495810.24200/j40.2021.56049.155722311Multi-objective optimization of hydraulic engine mounts vibrational behavior by non-dominated sorting genetic algorithmF. Fallahi0R. Shabani1Gh. Rezazadeh2S. Tariverdilo3F‌a‌c‌u‌l‌t‌y o‌f E‌n‌g‌i‌n‌e‌e‌r‌i‌n‌g U‌r‌m‌i‌a U‌n‌i‌v‌e‌r‌s‌i‌t‌yF‌a‌c‌u‌l‌t‌y o‌f E‌n‌g‌i‌n‌e‌e‌r‌i‌n‌g U‌r‌m‌i‌a U‌n‌i‌v‌e‌r‌s‌i‌t‌yF‌a‌c‌u‌l‌t‌y o‌f E‌n‌g‌i‌n‌e‌e‌r‌i‌n‌g U‌r‌m‌i‌a U‌n‌i‌v‌e‌r‌s‌i‌t‌yF‌a‌c‌u‌l‌t‌y o‌f E‌n‌g‌i‌n‌e‌e‌r‌i‌n‌g U‌r‌m‌i‌a U‌n‌i‌v‌e‌r‌s‌i‌t‌yEngine mounts are designed to hold the engine and isolate its vibration from the chassis of the vehicle. For optimum system performance, the mount must have high dynamic stiffness in the low-frequency range and low dynamic stiffness in the high-frequency range. As the conventional elastomeric mounts fail to satisfy such requirements due to their frequency-invariant behavior, the hydraulic engine mounts have been proposed, which provide appropriate dynamic stiffness employing two fluid-containing chambers. These two chambers are connected through a high-damped pass named inertia track and a floating plate named decoupler. In this paper, the low-frequency range response of a hydraulic engine mount has been studied using a discrete model. The effect of its parameters on the dynamic stiffness, damping ratio, and transmissibility of the mount is discussed. It is shown that increase in dynamic stiffness and damping ratio of the hydraulic engine mount is in contradiction with the decrease in its transmissibility. Hence, a multi-objective non-dominated sorting genetic algorithm has been used to achieve the desired results and the corresponding Pareto front is plotted. It is observed that upper chamber compliance and the effective area of the mount are the most dominant parameters in the optimization procedure. Also, a penalty function is used to transfer the maximum transmissibility out of the engine operation frequency range. Finally, the optimization results for transmissibility, damping ratio, and dynamic stiffness are presented for three series of parameters. It can be concluded that on the limit points of the Pareto front, which correspond to the one-objective optimization, the professed objective is optimized, but on the contradictory objective, no improvement is observed. There are points on the Pareto front where all the three objectives are optimized simultaneously. Therefore, as the transmissibility decreases and its maximum value falls out of the operating frequency range, the damping ratio and dynamic stiffness are increased.https://sjme.journals.sharif.edu/article_22311_0fe06e6765f416bd6ddad1bd82fef156.pdfhydraulic engine mountinertia trackdecoupleroptimization
spellingShingle F. Fallahi
R. Shabani
Gh. Rezazadeh
S. Tariverdilo
Multi-objective optimization of hydraulic engine mounts vibrational behavior by non-dominated sorting genetic algorithm
مهندسی مکانیک شریف
hydraulic engine mount
inertia track
decoupler
optimization
title Multi-objective optimization of hydraulic engine mounts vibrational behavior by non-dominated sorting genetic algorithm
title_full Multi-objective optimization of hydraulic engine mounts vibrational behavior by non-dominated sorting genetic algorithm
title_fullStr Multi-objective optimization of hydraulic engine mounts vibrational behavior by non-dominated sorting genetic algorithm
title_full_unstemmed Multi-objective optimization of hydraulic engine mounts vibrational behavior by non-dominated sorting genetic algorithm
title_short Multi-objective optimization of hydraulic engine mounts vibrational behavior by non-dominated sorting genetic algorithm
title_sort multi objective optimization of hydraulic engine mounts vibrational behavior by non dominated sorting genetic algorithm
topic hydraulic engine mount
inertia track
decoupler
optimization
url https://sjme.journals.sharif.edu/article_22311_0fe06e6765f416bd6ddad1bd82fef156.pdf
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AT rshabani multiobjectiveoptimizationofhydraulicenginemountsvibrationalbehaviorbynondominatedsortinggeneticalgorithm
AT ghrezazadeh multiobjectiveoptimizationofhydraulicenginemountsvibrationalbehaviorbynondominatedsortinggeneticalgorithm
AT stariverdilo multiobjectiveoptimizationofhydraulicenginemountsvibrationalbehaviorbynondominatedsortinggeneticalgorithm