In this paper, avehicle with eight degrees of freedom has been simulated to achieve driver’s seat comfort.Analytical results explained by mathematical equations presented in the graphical form have beenincluded.
📌 3 Key Takeaways
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Objective & Hypothesis:Vehicle ride comfort is a function of the frequency of transmitting vibrations to passengers fromroad irregularities.
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Key Findings & Data:The objective of this research is to provide a systematic method into therequirement of the passive suspension based on genetic algorithm (GA).
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Conclusion & Impact:In this paper, avehicle with eight degrees of freedom has been simulated to achieve driver’s seat comfort.Analytical results explained by mathematical equations presented in the graphical form have beenincluded.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
Vehicle ride comfort is a function of the frequency of transmitting vibrations to passengers fromroad irregularities. The objective of this research is to provide a systematic method into therequirement of the passive suspension based on genetic algorithm (GA). Objective function of GAmethod is driver’s seat acceleration to provide driver ride comfort. The passive suspension dampingcoefficient and driver’s seat suspension damping coefficient have been optimized. In this paper, avehicle with eight degrees of freedom has been simulated to achieve driver’s seat comfort.Analytical results explained by mathematical equations presented in the graphical form have beenincluded.
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Cite This Article
HEMATİ, A., SHOOSHTARİ, A. (2022). Suspension damping optimization using genetic algorithms. International Journal of Automotive Engineering and Technologies, Cilt: 8 - Sayı: 4, 178–185. https://ajindex.com/articles/540306
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