Design and Optimization of a Bus Steering Linkage by Using Response Surface Methodology

Topaç, Mehmet Murat; Karaca, Merve; Deryal, Uğur; Atak, Mert

doi:10.1007/978-3-319-75677-6_52

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Steering kinematics are improved focusing on the steering rack [8]. Steering linkage of a bus is optimized using RSM approach [9]. Multi-criteria optimization of a suspension system is realized utilizing the conventional regression models [10].…”

Section: Introductionmentioning

confidence: 99%

Kinematics & Compliance Validation of a Vehicle Suspension and Steering Kinematics Optimization Using Neural Networks

AĞAKİŞİ,

ÖZTÜRK

2023

mech

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Physical and virtual K&C analyses are performed to achieve the vehicle dynamics targets by finding the optimum variables such as the position of hardpoints or stiffnesses of bushings. However, finding appropriate design variables that meet all the aims is challenging. This paper evaluates a hardpoint optimization approach to attain suspension K&C characteristic objectives with the design of experiments, neural networks, and genetic algorithm, based on a reference compact-sized prototype vehicle. The MBD model correlation is provided to optimize the hardpoints to improve the vehicle's steering kinematics concerning Ackerman error and camber angle variation that are out of target in baseline suspension. The results showed that NN based optimization strategy to define the hardpoints has significantly improved targeted characteristics compared to conventional response surface methods in the limited design space.

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Section: Introductionmentioning

confidence: 99%

Kinematics & Compliance Validation of a Vehicle Suspension and Steering Kinematics Optimization Using Neural Networks

AĞAKİŞİ,

ÖZTÜRK

2023

mech

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Mathematical Modeling of the Spatial Steering Linkage of a Wheeled Vehicle

Chernenko

Klimov

Chernysh

et al. 2020

2020 IEEE Problems of Automated Electrodrive. Theory and Practice (PAEP)

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Multibody Dynamics Modeling of a Continuous Rubber Track System: Part 1—Model Description

Faivre,

Duhamel,

Hemmatian

et al. 2023

SAE Int. J. Commer. Veh.

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<div>Continuous rubber track systems for farming applications are typically designed using multiple iterations on full-scale physical prototypes which is costly and time consuming. The development of numerical design tools could speed up the design process and reduce development costs while improving product performance. In this article, a rigid multibody dynamics (MBD) model of a continuous rubber track system is presented. This article is the first part of a two-part study: Part 1 focuses on the model description and part 2 describes the experimental evaluation of the MBD model. The modeling methodology is based on a track discretization as a set of rigid body elements interconnected by 6 degrees-of-freedom bushing joints. The mathematical formalism and experimental characterization of all critical subsystems such as the roller wheels, tensioner, suspensions, and contact models are also presented. Several simulation results are presented to illustrate the capability of MBD models in design activities to rapidly evaluate new concepts as a result of the relative short-solving time of the model (approximately 3 h). The MBD model is shown to be a powerful design tool to provide input boundary conditions for structural analysis or as a design space explorer and optimization tool.</div>

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Design and Optimization of a Bus Steering Linkage by Using Response Surface Methodology

Cited by 3 publications

References 12 publications

Kinematics & Compliance Validation of a Vehicle Suspension and Steering Kinematics Optimization Using Neural Networks

Kinematics & Compliance Validation of a Vehicle Suspension and Steering Kinematics Optimization Using Neural Networks

Mathematical Modeling of the Spatial Steering Linkage of a Wheeled Vehicle

Multibody Dynamics Modeling of a Continuous Rubber Track System: Part 1—Model Description

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