Implementation and calibration of meso-scale modeling technique for simulation of tensile behavior of fabric materials
In this paper, the proposed calibration methodology constitutes a unique solution for the correct determination of material properties of yarns, which are necessary for the simulation of fabric response. An algorithm in modeFRONTIER was designed to determine the combination of parameters in order to fit the experimental tensile load-displacement curve with the corresponding numerical curve.
MULTI-OBJECTIVE OPTIMIZATION OF VEHICLE OCCUPANT RESTRAINT SYSTEM BY USING EVOLUTIONARY ALGORITHM WITH RESPONSE SURFACE MODEL
This research reports a vehicle occupant restraint system design by using evolutionary multi-objective optimization with response surface model. The vehicle occupant restraint systems are composed of restraint equipment, such as an airbag, a seat belt, and a knee bolster. The optimization aims to improve the safety of the system by evaluating some indexes based on safety regulations.
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.
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).
How to optimize an external gear pump in highly constrained conditions
The objective of this project was to take a standard series gear pump with a displacement of about 20 cc/rev and to minimize its noise emission, while at the same time maintaining the same level of performance. The optimizer modeFRONTIER and simulator HygeSim are used to find the optimal configurations of the pump model.
Study of the impact of structural parameters on the dynamic response of an electronic fuel injector
The study concentrates on the effects of structural parameters of an electronic fuel injector on its dynamic response. The injector was developed for a marine medium-speed diesel engine. The dynamic response from the start of the control signal to the end of the needle valve closing was investigated. Firstly, a complete and detailed model of the electronic fuel injector was built and integrated into an optimization model, where a MOGA was applied.
Innovations in a floating production system for optimizing costs
An optimization process using modeFRONTIER is implemented with the aim of optimizing the design of a floating production system with the minimization of installation and operating cost in mind. The hull form was designed using a genetic algorithm, taking into account 7 parameters, and focusing on minimizing steel weight.
A comparative assessment of ventilative and mechanical cooling for residential zero energy buildings considering the future climate
In this study, a comparative assessment is performed between ventilation and mechanical cooling by assessing the performance of different design variants for different scenarios. This must help decision makers in the design process of residential buildings to achieve more future-proof zero energy houses. A methodology is proposed and applied to a case study building to compare the performance of both cooling strategies, and to find the most suitable strategies considering the future climate and various occupant scenarios.
Aircraft conceptual design of a business jet (category Large) using Multidisciplinary Design Optimization techniques
A Multidisciplinary Design Optimization approach considering closed-loop flight control laws was applied to a conceptual design of a large-cabin business jet. The optimization algorithm used in this work is the Multi-Objective Genetic Algorithm of second generation (MOGA-II algorithm) using modeFRONTIER. Two types of analysis were done: mono-objective, maximizing the internal rate of return, and multi-objective, maximizing the internal rate of return and minimizing Dubai – London City mission block time.
Development of a Multidisciplinary Design Optimization Framework Applied on UAV Design by Considering Models for Mission, Surveillance, and Stealth Performance
This paper presents a Multidisciplinary Design Optimization (MDO) framework that is intended to be employed in the early design stages of Unmanned Aerial Vehicles (UAVs). A development approach for modeling the sensor performance and the radar signature is proposed and it is shown that their integration in a framework which also takes into account the geometry, the aerodynamics, the stability, and the mission simulation is feasible.