Topologycal Optimization Applied to Design of an Automotive Hood

2016-36-0210

10/25/2016

Event
25th SAE BRASIL International Congress and Display
Authors Abstract
Content
The numerical simulation is currently an essential tool in the automotive engineering because it is possible in the virtual stage of product development to evaluate the performance of a component in the level of stress that would it be submitted, as well as evaluating displacement, natural frequency, stiffness and to the feasibility of manufacturing. Due to the stringent emission standards and pollutant, as well as sustainability guidelines, the goal of any automotive design is always seeking the maximum structural performance with minimal possible mass. This premise leads directly to a numerical optimization problem, that seeks the maximum (or minimum) of a function, subject to several constraints. Numerical optimization techniques can be divided mainly into: shape optimization, parametric optimization and topology optimization. In order to relieve mass during the process of forming it is common to perform a cutting operation to remove material in parts that are less required. In theory, this is characterized in a typical topology optimization problem, which consists in "holes" on the part topology, so as to remove the mass as possible without significant loss of performance. Thus, this work consisted of using topology optimization techniques to design the internal panel of a hood (hood inner panel) that provides the maximum ratio stiffness / mass to the entire hood. The results were compared with default settings found on the market and in which were evaluated the torsional stiffness, maximum stress, and natural frequencies. The results showed that the use of topology optimization for sheet metal forming are feasible and promising.
Meta TagsDetails
DOI
https://doi.org/10.4271/2016-36-0210
Citation
Resende, M., Silveira, M., and Resende, T., "Topologycal Optimization Applied to Design of an Automotive Hood," SAE Technical Paper 2016-36-0210, 2016, https://doi.org/10.4271/2016-36-0210.
Additional Details
Publisher
Published
Oct 25, 2016
Product Code
2016-36-0210
Content Type
Technical Paper
Language
English