Browsing by Author "Armansyah"

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    Optimization and comparative analysis of an AISD suspension system with inerter element for enhanced ride and handling
    (Sage, 2024-05-23) Ridal, Reda; Keshavarzi, Ahmad; Armansyah; Harmanto, Dani; Kolahdooz, Amin
    This paper presents a comprehensive study on the modeling and optimization of an advanced suspension system, known as the Air Springs Inerter-Spring-Damper (AISD) system, incorporating an inerter element. A linear quarter car model is utilized to analyze the vibrational behavior of the AISD system when subjected to harmonic road disturbances. The steady-state response of the system is investigated by deriving the root mean square (RMS) values of the absolute relative displacement and acceleration of the sprung mass. To optimize the quarter car model, a criterion based on minimizing the absolute acceleration RMS while considering the relative displacement RMS is employed to calculate the inerter coefficient. The performance of the AISD suspension system is compared to that of both conventional quarter car systems and traditional air quarter car systems, with a focus on ride comfort and handling. The results demonstrate that the proposed AISD system outperforms the other two suspension systems, exhibiting a significant improvement in ride quality. Specifically, the AISD system achieves a 45% enhancement over the air suspension and an 82% improvement over the classic suspension system.
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    Optimization of air suspension system for improved ride and handling performance in road vehicles dynamic
    (Universitas Muhammadiyah Magelang, 2024-12-15) Armansyah; Keshavarzi, Ahmad; Kolahdooz, Amin; Rizal, Reda; Destri Mardhani, Muhammad
    This study focused on the optimization of air suspension systems (ASs) for road vehicles concerning on-ride and handling criteria. A quarter DOF vehicle model is used in this study to develop an optimized system based on nonlinear equations. The extracted equations are then linearized and transformed into dimensionless form to gain insights into the system's behavior. By employing the Root-Mean-Square (RMS) method, the dimensionless equations are utilized to optimize the system parameters focused on stability and ride comfort. The five main components are attached in the model which consisted of the sprung mass (SM), unsprung mass (USM), gas spring (GS), auxiliary reservoir (AR), and orifice (O). The optimization procedure involved adjustment to the orifice resistance coefficient, air spring volume, air spring area, and auxiliary volume using the RMS-based method. Simulation analysis revealed the superior performance of the RMS-optimized system in both ride quality and handling. The study concludes by emphasizing the advantages of utilizing the RMS method for optimizing air suspension, resulting in decreased sprung mass acceleration and enhanced handling qualities. Selecting the appropriate design point for the suspension system based on the method outlined in this article can ensure both stability and comfort in the vehicle simultaneously.