Synthesis of silicone oil based magnetorhelogical fluid and performance analysis in a landing gear using bat-based gradient boost mechanism
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1
Faculty of Mechanical Engineering, Kalasalingam Academy of Research and Education, 626126, Krishnankoil, India
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Amrita Vishwa Vidyapeetham, Department of Mechanical Engineering, 690525, Amritapuri, India
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Saveetha Institute of Medical and Technical Sciences, Department of Mechanical Engineering, Saveetha School of Engineering, Chennai, India
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Faculty of Mechanical Engineering, Cracow University of Technology, al. Jana Pawła II 37, 31-864 Cracow, Poland
Adv. Sci. Technol. Res. J. 2025; 19(5):375-389
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ABSTRACT
Aircraft landing gear is used to reduce the vibration and impact load that is transmitted from the ground to the aircraft body. This paper aims at investigating the application of the Magneto-Rehological damper in the landing gear system which provides high amplitude damping force through the variation of the external magnetic field. The control and reliability of the MR damper were numerically analyzed and experimentally tested in order to meet the aviation standards. The present research proposes a new Magneto-Rheological fluid combined with a Bat-based Gradient Boost Mechanism to manage damping parameters and current. The Magneto-Rheological fluid was developed with iron and silicon additives and was incorporated into a landing gear system in the form of an MR fluid damper designed using ANSYS. Optimum design parameters of the damper were analyzed in MATLAB with the help of Bat-based Gradient Boost Mechanism. The performance of the proposed Magneto-Rehological fluid damper was very encouraging, it produced a high damping force and low stroke rate with maximum yield stress of 160kPa at a flux density of 1.4. The minimum stroke was 0.185m and the energy efficiency obtained was 96.7%. Laboratory tests gave results of maximum damping force of 2.4 kN, the yield stress of 160 kPa together with the stroke of 0.185 m which is almost close to the theoretical analysis. The friction force of the damper was measured at -210nN prior to the optimization whereas, before the optimization it was -58nN only.