Increasing passive safety performances using an automatic CAE methodology
In the automotive industry, safety requirements are more and more stringent leading to engineering challenges in finding the best tradeoff between crashworthiness performances, structure weight, design and production costs. The goal of the activity is to develop an automatic optimization work flow for a car door. The final objective is to fulfill the safety requirements and obtain the best rating in the pole test.
Process Integration and Optimization of ICME Carbon Fiber Composites for vehicle lightweighting: a preliminary development
Different from the Sheet Molding Compounds (SMC) structure, the unidirectional (UD) structure (laminate) has multiple layers, and each layer has anisotropic properties. The layout of each component in the vehicle structure needs to be optimized in order to achieve the optimum structure performance such as stiffness, durability, NVH, and safety. he multi-layer UD structure optimization is implemented on the platform of modeFRONTIER.
Use of Parametric Finite Element Models to Investigate Effects of Occupant
This research project aims to investigate the effects of age, sex, and BMI on variations in LX geometry, material properties, body size, and body shape and the effects of these variations on lower-extremity injury risk. This was accomplished by performing simulations with male and female human body FE models that have geometry and material properties that are parametric with age, BMI, and stature. The optimization process was run in modeFRONTIER.
Study of Crash Phenomenon for Humanoid Robot
This study aims to find lighter and more robust cover solutions for robotic structures, with an ability to absorb shock energy due to strong collisions. Virtual robotic models based on the COMAN robot are chosen for the study, using the FEM model. Testing using multibody and modeFRONTIER has yielded excellent results for the chosen material.
Vehicular causation factors and conceptual design modifications to reduce aortic strain in numerically reconstructed real world nearside lateral automotive crashes
This study aims to find an effective means of substantially improving the outcome of motor vehicle crash induced aortic injuries. A DOCE study was performed on 16 different combinations of five design factors generated using a Latin Square method in modeFRONTIER 4.0. The experiment utilized FE vehicle models and the Wayne State Human Body Model.
Restraint system optimization for belted and unbelted occupants in frontal crashes
The objective of this study is to compare the performance of restraint systems optimized for belted only occupants with those optimized for both belted and unbelted occupants using computer simulations.
Mass Reduction and Energy Absorption Maximization of Automotive Bumper Systems
The main goal of automotive bumpers is to absorb kinetic energy during plastic structural deformation in order to prevent occupant injury. Typically, the more mass a bumper has, the more energy it can absorb. However, more mass also means more material, higher costs and poorer fuel efficiency. modeFRONTIER was employed to carry out the optimization of the best possible bumper design given the two opposing objectives.
Application of Optimization Methodology and Specimen Speciﬁc Finite Element Models for Investigating Material Properties of Rat Skull
This study represents a preliminary effort in the development and validation of FE models for the rat skull used to predict the reaction of traumatic brain injuries (TBI) in humans. modeFRONTIER automatically updated input parameters and submitted new keyword files to LS-DYNA, which ran in MPP mode, to reduce the time needed in completely the task. This same method can be used to other reverse engineering procedures to obtain accurate material parameters for FE models development.
Meta-Models application on bumper crash design optimization developed with modeFRONTIER
The challenge of this presentation is the optimization of a bumper during a frontal crash situation. During the optimization six parameters were used in order to optimize the bumper by reducing mass and minimizing force. The optimization comprised three steps that go from geometry design to physical behavior simulation.
A CAE based procedure to predict the low velocity impact response of a composite CAI specimen
In this case, modeFRONTIER was coupled with an LS-DYNA FE model in order to simulate the impact low velocity impact on composite plate.