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.
Effective toolchain for the model based development of an EUVI exhaust aftertreatment system
BASF, as a leading global catalyst supplier, was approached by a commercial truck manufacturer to improve cost and performance of the current EUVI production exhaust after treatment system.
Optimizing Seat Belt and Airbag Designs for Rear Seat Occupant Protection in Frontal Crashes
Recent field data have shown that the occupant protection in vehicle rear seats failed to keep pace with advances in the front seats likely due to the lack of advanced safety technologies. The objective of this study was to optimize advanced restraint systems for protecting rear seat occupants with a range of body sizes under different frontal crash pulses.
Application to Short Fiber Reinforced Plastic (SFRP) Microstructure Optimization for NVH improvement
The role of simulation is of critical importance to drive the powertrain design for Noise, vibration, and harshness (NVH) on a Component, Sub-System and System Level.
The Future of Modeling, Simulation and Optimization at Cummins
Cummins uses modeFRONTIER to facilitate “system-level” design optimization studies, quantifying the trade-offs across system-level performance to detailed component design.
Optimization: I do not think you know what that word means
While many techniques and tools are available to perform an optimization analysis, during the relative quick pace of automotive development the difficulty is having the time to use these tools to find an optimal solution considering the number of variables and types of analyses that need to be included in the process.
Multivariate Optimization and 1-D Simulation of a High Performance Single Cylinder Engine for The ESTECO Academy Design Competition
Organized in partnership with Aprilia Racing and Gamma Technologies, the ESTECO Academy Design Competition 2016 was open to teams of undergraduate and graduate engineering students. The challenge was to improve the design of a 4 stroke single cylinder engine through multidisciplinary optimization (using modeFRONTIER) and 1-D simulation of the engine system with GT-Suite.
Vehicle occupant restraint system design under uncertainty by using multi-objective robust design optimization
The Multi-Objective Robust Design Optimization (MORDO) is employed for the vehicle occupant restraint system design. The optimization aims to improve the safety performance of the system and its robustness simultaneously.
White Paper | Aerodynamic Design Best Practices Using PowerFlow and modeFRONTIER optimization
The example in this paper is an aerodynamic guidance study of a generic SUV-type vehicle. The goal was to understand the impact of rear end design changes to provide guidance for achieving minimized drag, while also considering rear lift and side force fluctuations. The project was conducted on ExaCLOUD, which provided secure, web-based access to the complete Exa simulation software suite and modeFRONTIER.
Optimization on Fuel Injection Parameter of Heavy-Duty Diesel Engine Based on Multi-Objective Genetic Algorithms
By using the GT-power software to establish the computing model of diesel engines and employing the modeFRONTIER multiobjective genetic algorithm (MOGA), this study carried out optimal research on performance indicators of diesel engines such as BSFC, NOX, soot, HC and CO, achieved the optimal solution to combination of injection parameters, and analyzed the relationship between optimal objective and fitness.