title: Optimization of nonlinear quarter car suspension-seat-driver model.
abstract: In this paper a nonlinear quarter car suspension-seat-driver model was implemented for optimum design. A nonlinear quarter car model comprising of quadratic tyre stiffness and cubic stiffness in suspension spring, frame, and seat cushion with 4 degrees of freedom (DoF) driver model was presented for optimization and analysis. Suspension system was aimed to optimize the comfort and health criterion comprising of Vibration Dose Value (VDV) at head, frequency weighted RMS head acceleration, crest factor, amplitude ratio of head RMS acceleration to seat RMS acceleration and amplitude ratio of upper torso RMS acceleration to seat RMS acceleration along with stability criterion comprising of suspension space deflection and dynamic tyre force. ISO 2631-1 standard was adopted to assess ride and health criterions. Suspension spring stiffness and damping and seat cushion stiffness and damping are the design variables. Non-dominated Sort Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization - Crowding Distance (MOPSO-CD) algorithm are implemented for optimization. Simulation result shows that optimum design improves ride comfort and health criterion over classical design variables.
authors.affiliation: SCSM College of Engineering, Ahmednagar 414005, MS, India; Research Department of Mechanical Engineering, AVCoE, Sangamner 422605, MS, India.
authors.forename: Mahesh P
authors.initials: MP
authors.lastname: Nagarkar
authors.affiliation: AVCoE, Sangamner 422605, Dist - Ahmednagar, MS, India.
authors.forename: Gahininath J
authors.initials: GJ
authors.lastname: Vikhe Patil
authors.affiliation: PDVVP CoE, Vilad Ghat, Ahmednagar 414111, MS, India.
authors.forename: Rahul N
authors.initials: RN
authors.lastname: Zaware Patil
keywords: Cubic stiffness in suspension spring; Genetic algorithm; MOSPO-CD; Multi-objective optimization; Nonlinear quarter car; Quadratic tyre stiffness