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.
ESTECO webinar recording | Exploiting Design of Experiments (DOE) techniques for multibody and structural vehicle analysis with modeFRONTIER, Adams and MSC Nastran
On August 29th, 2017 ESTECO hosted expert engineers from MSC Software who demonstrated the advantages of the integration of their software in modeFRONTIER workflow to identify better solutions using Design of Experiment for multibody and structural vehicle analysis.
Knowledge-Based Integrated Aircraft
A multidisciplinary optimization framework connecting the geometric model, aerodynamic model and structural model is performed on a wing shape with predefined loads on the wing. For global optimization, MOGA is used and for local optimization Simplex algorithm is used as the design variables are continuos.
Formulation and optimization of involute spur gear in external gear pump
These analytical expressions are then used within a multi-objective numerical optimization algorithm aimed at minimizing both the ﬂow non-uniformity and the pump size to achieve a speciﬁc displacement.
Novel cost effective configurations of combined power plants for smalls scale cogeneration from biomass design of the particle heat exchanger
A general design procedure have been developed for the application of the Immersed Particle Heat Exchanger to a novel, small scale, externally fired combined cycle capable of generating electrical and thermal power from carbon-neutral biomass. The Immersed Particle Heat Exchanger serves as the high temperature heat exchanger needed to couple the Brayton cycle with an external combustor of biom
Multi-parameter Optimization of Double-Loop Fluidized Bed Solar Reactor for Thermochemical Fuel Production
The design of a double-loop fluidized bed solar reactor, capable to develop a thermo-chemical two-step cycle to produce CO, has been optimized to reach the highest values of global efficiency.
Optimization of High lift device system deployment for takeoff performance
This work presents a proposed framework intended to be used for the optimization of highlift devices, namely Flaps and Slats for the present study. This paper addresses a first phase of a work aimed at a complete tool of high lift devices using modeFRONTIER as the optimizer in the process. The study takes into account the experience of a company inserted in the aeronautical environment and of the databases constituted from old aircraft.
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.
Vehicle steering pull - from product development to manufacturing
The objective of this paper is to propose a novel method to evaluate the impact of dimensional variations on vehicle steering pull. The proposed method combines Monte Carlo simulation to validate the dimensional tolerances, a multibody software to simulate initial data and modeFRONTIER to create a polynomial response surface and simulate the Vehicle Residual Aligning Torque (VRAT) distribution curve, final directional vehicle trend, and factors influence on VRAT.
Hybrid flow management - multi objective optimisation
The objectives of the optimisation management that considers both assembly and production Hybrid Flow-Shops lines are several: optimal numbers of machines, shifts, product priority and time-period scheduling. The approach uses a combination of DES software with an MDO (Multidisciplinary Design Optimization) software, modeFRONTIER. model is optimized following the process: 1) A Multi-objective Genetic Algorithm cycle generates a set of optimal solutions; 2) A Clustering cycle groups the solutions into different sets; 3) The selection of the preferred solution via post-processing; 4) A mono-objective optimisation of each cluster; and 5) creation of weekly scheduling with optimal results.