M. Abbasi, R. Kazemi, A. Ghafari Nazari,
Volume 1, Issue 3 (5-2011)
Abstract
Parametric design optimization of an automotive body crashworthiness improvement is presented. The thicknesses of parts are employed as design variables for optimization whose objective is to increase the maximum deceleration value of the vehicle center of gravity during an impact. Using the Taguchi method, this study analyzes the optimum conditions for design objectives and the impact factors and their optimal levels are obtained by a range analysis of the experiment results. A full frontal impact is implemented for the crashworthiness simulation in the nonlinear dynamic code, LS-DYNA. The controllable factors used in this study consist of the six inside foreheads structural parts, while design parameters are relevant thicknesses. The most interestingly the maximum deceleration of the vehicle center of gravity is reduced by 20% during a full frontal impact while several parts experience mass reduction.
Hamidreza Zarei, Mohammad Nazari,
Volume 12, Issue 3 (9-2022)
Abstract
In this manuscript, the energy absorption behavior of the empty aluminum and ALPORAS foam-filled square tubes is investigated through experimental and numerical routes. The experimental method is conducted by an axial impact test apparatus. To discover more details about crushing behavior, LS DYNA software is used for numerical simulation of the tests. The results of both methods are in satisfactory compliance. As a novelty, the crash performance of tubes filled with different foam densities is investigated. To examine the foam density effect on energy absorption of the tube, multi-layer foams with three different densities have been applied. It has been proven that filling the tubes with gradient foam improves the crash characteristics of the tubes. Numerical results revealed that tubes filled with gradient foam filler can absorb more energy than empty and tubes filled with different individual foams of lower weight. In numerical simulations, the required foam parameters are estimated from existing formulas. Compression test results of foam with different densities are implemented for calibrating these formulas.
