Numerical optimization of independent suspension hardpoint

2019-36-0154

01/13/2020

Features
Event
2019 SAE Brasil Congress & Exhibition
Authors Abstract
Content
The present work aims to use complex tools for the calculation of vehicle dynamics, using optimization analysis. The study was applied to a single seat off-road prototype that has independent suspension, Double A or WishBones type, both on the front and rear axles and whose main objective will be the analysis of the prototype suspension arms fixing points. A multi-body model was created by MotionView software and straight-line acceleration and deceleration analyzes were applied to obtain better longitudinal load transfer ratios for the axes, besides the force measurements for the arm connections during these events. After the creation of the multi-body model, some studies using optimization tools, through HyperStudy software, were performed in order to obtain the new positions of the attachment points in the chassis, achieving a better dynamic suspension design. The new points change the longitudinal load transfer design and generate controlled alteration between predefined parameters in the behavior of the camber and toe in angles resulting in a different suspension arm geometry. In addition, the new geometry also had a pickup analysis of forces for comparison between models. At the end of the study, the prototype model generated allows full comparison of the macro operation of the prototype, and allowing the developers to evaluate if this model is more efficient and robust than the previous one. The optimization tool allows to find important results that allow the studied competition prototype to gain competitive advantages contributing to achieve better results and a better design.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-36-0154
Pages
7
Citation
Alvim, O., and Silveira, M., "Numerical optimization of independent suspension hardpoint," SAE Technical Paper 2019-36-0154, 2020, https://doi.org/10.4271/2019-36-0154.
Additional Details
Publisher
Published
Jan 13, 2020
Product Code
2019-36-0154
Content Type
Technical Paper
Language
English