Topologycal Optimization Applied to Design of an Automotive Hood

Paper #:
  • 2016-36-0210

Published:
  • 2016-10-25
DOI:
  • 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, doi:10.4271/2016-36-0210.
Abstract:
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.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Technical Paper / Journal Article
2010-10-19
Technical Paper / Journal Article
2010-09-28
Article
2016-08-24
Training / Education
1997-11-03