Reliability-based Robust Design Optimization Using Polynomial Chaos Expansion for Aero-Engine Inlet Applications
This paper describes the methodologies developed by ESTECO during the UMRIDA European Project, dedicated to Uncertainty Management and Robust Design Optimization and implemented in the modeFRONTIER software platform. The implementation and the results of an automatic Multi-Objective Robust Design Optimization methodology applied to a problem in the aerospace industry is described: the acoustic performance optimization of the liner of a typical regional jet engine nacelle (produced for the application treated in this paper by Leonardo Aircraft).
Azimut Benetti propels cruise speed with modeFRONTIER
The Naval Architecture and Marine Engineering Unit (DITEN Department) of Genoa University work jointly with DETRA Custom Propellers and Azimut Benetti’s R&D Centre, using modeFRONTIER to optimize the design of a custom propeller for a high-speed Azimut Benetti 95 RPH yacht.
Advanced Predictive Diesel Combustion Simulation Using Turbulence Model and Stochastic Reactor Model
This work studies the modeling of turbulence time-scales in diesel engines within a 0D model framework. The goal is to see its effect on combustion and emission formation taking into consideration different operating conditions. The combustion is described using the pdf based DI-SRM. Optimization was run using modeFRONTIER.
Optimum Design of Exhaust System of a Ship
A methodology for the optimization of a silencer in a ship's exhaust system is developed. The study aims to optimize the acoustics and back pressure, with results derived by using the optimization platform modeFRONTIER. The objectives of noise and pressure reduction were both successfully realized in this study, resulting in an optimized and validated system.
Multi-objective Optimization of a Data Center Modeling Using Response Surface
In the present paper, a multi-objective optimization process that utilizes a Genetic Algorithm is used in a response surface methodology based on radial basis function, with the aim of significantly reducing the engine running time of a model data center. A range of the design parameters is optimized to search for the best combinations that satisfy both of the two objectives.
Multi-Objective Analysis and Optimization of Integrated Cooling in Micro-Electronics With Hot Spots
This work aims to find the optimal configuration of three micro pin-fins in order to reach efficient thermal management. The optimization study using modeFRONTIER shows that pin-fin configurations are capable of containing heat flux levels of next generation electronic chips without compromising the structural integrity, and even the smallest thin film thickness improves both overall and local temperature uniformity.
Modelling and Multi-objective Optimisation of the VHP Pouch Packaging Sterilisation Process
This paper aims to optimize the pouch packaging sterilization process used in aseptic technology. The study is made of two parts: first the modeling and fluid dynamics simulation of the sterilization process on the pouch with a subsequent experimental validation, and then the multiobjective process optimization, with the aim of finding
the most suitable system configuration using modeFRONTIER.
Innovative methodologies for Robust Design Optimization with large number of uncertainties using modeFRONTIER
This paper describes the methodologies that have been developed by ESTECO during the first phase of the UMRIDA European Project, conducted in the fields of Uncertainty Management and Robust Design Optimization, implemented in the software platform modeFRONTIER. Aeronautical test cases proposed by UMRIDA consortium are used to verify the validity of the methodologies.
Characterization of Aerodynamic Design Spaces for Adjustable Tractor Surfaces
A method for the characterization of the aerodynamics benefit of a generic aerodynamic drag reduction device was presented in this work. CFD simulations were carried out using a Lattice-Boltzmann based method and coupled with modeFRONTIER for the creation of multiple Kriging Response Surfaces. The methodology was further refined by obtaining positioning maps for multiple tractor configurations.
Fluid dynamics Optimization of racing engine inlet ducts at Aprilia Racing
A two-step optimization procedure of intake valves and intake ports of the Aprilia RS-GP motorbike is presented in this work. Parametric geometry design, automatic mesh generation and three-dimensional CFD analysis are coupled with different optimization techniques – using the platform modeFRONTIER. The objective is the improvement of fluid dynamic efficiency of valve and port while simultaneously guaranteeing their feasibility.