Optimization and Robust Design with modeFRONTIER
Fiat’s latest success products, were developed using intensive use of virtual analysis in only 16-18 months.
The use of modeFRONTIER in Chassis Virtual Analysis as a DOE or/and optimization tool enabled to reduce time and calculation loops, to gain a deeper understanding of the system and the correlation between input variables and output parameters, to increase possibility to explore best solutions and to evaluate robust and stable solutions.
Design and optimization of space launch systems
modeFRONTIER offers a good framework for HADES ambition giving students and engineers an easy access to space launcher’s design, allowing comparison and optimization of designs on a cost and performance basis, and offering them an open background for further developments
Aerodynamic Optimization of Aircraft Configurations with Multidisciplinary Aspects
In this presentation the process for the design optimization of an aircraft configuration was set up with the modeFRONTIER methodology. Furthermore the aerodynamic optimization of a wing with a gradient based algorithm using the sensitivities provided by an adjoint method was carried out, but only using a structured mesh.
Multiple Regression Analysis of OSC Characteristics Under Transient TWC Conditions
TWC contain Oxygen Storage Component (OSC) materials to enhance HC, CO and NOx performance under A/F transient conditions. At the same time, it is necessary for the vehicle on board diagnostics (OBD) system to monitor that the catalyst OSC is functioning correctly. However, detailed understanding of how OSC characteristics can simultaneously match gas performance and OBD functionality are not well known.
Multidisciplinary design optimization of aerospace structures with aeroelastic criteria
The purpose of this presentation is to develop a robust design methodology to couple commercial codes for full aeroelastic optimization purpose to yield a convenient adaptation to engineering applications in industry
Multi-objective optimization in road design
Road design is a complicated problem relating economical and environmental considerations. Designers should evaluate sufficient number of alternative routes to locate a final route, with the lowest cost, while conforming to design specifications, and environmental. The required objectives in this presentation are minimizing total cost of construction and minimizing total cost of manteinance facing the constraints of the design requirements.
Multi Disciplinary Optimisation at JLR : from 6 months to 6 weeks
In this proceeding, the multi-objective optimization software, modeFRONTIER has been successfully applied to auto correlate a complex load cases in a very short time from 6 weeks to 2 hours.
Application of optimization techniques to components of complex assemblies
Design optimization consists in the application to real systems of numerical algorithms and techniques to assist designers, engineers and scientists in identifying the optimum design that meets all requirements.
Multi-Objective and Multi-Constraint Ride -Comfort and Handling Optimization with modeFRONTIER
The applications involved 4 different vehicle models in the customized version of ADAMS/Car MBSHARC for a unique optimization involving two conflicting objectives Ride-Comfort and Handling performance. The studies allowed to gain a deep understanding of the correlation between all parameters and performances. The optimization allowed a certain improvement of both aspects Handling and Comfort and in particular enabled to choose a “best compromise” considering the personalized target setting related to different vehicles.
Optimisation techniques applied to the design of a gas turbine cooling system
In this proceeding a novel methodology was used to design the layout of the tip cooling nozzles of a high pressure rotor blade turbine. The methodology used is a complete CAE approach, by means of a parametric CFD model which was run many times for the exploration of several designs by an optimizer.The final design of the tip cooling geometry found by the optimizer proved to be better than the base design (which used mean values of all input parameters) and also better than the design proposed by an experienced heat transfer AVIO engineer, who used standard best practice methods.