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.
Process Integration and Optimization of ICME Carbon Fiber Composites for vehicle lightweighting: a preliminary development
Different from the Sheet Molding Compounds (SMC) structure, the unidirectional (UD) structure (laminate) has multiple layers, and each layer has anisotropic properties. The layout of each component in the vehicle structure needs to be optimized in order to achieve the optimum structure performance such as stiffness, durability, NVH, and safety. he multi-layer UD structure optimization is implemented on the platform of modeFRONTIER.
An Evolutionary Multi-Objective Optimization Framework for bi-level problems
Bi-level Programming Problems (BPPs) are hierarchical optimization problems where an optimal solution at the lower level is used as a constraint at the upper level. This work introduces an optimization framework based on the proprietary Multi-Objective Genetic Algorithm for Structured Inputs (MOGASI) which was extended and adapted to two real-world BPPs related to pricing systems.
A support approach for the conceptual design of energy-eﬃcient cooker hoods
The design of a cooker hood concerns different aspects, such as the aesthetic design, thermal and structural analysis of components, fluid dynamics performance and energy consumption.The scope of the proposed research is to evaluate the performance of a kitchen hood during the conceptual design in terms of energy efficiency to classify the product using the European energy label. An optimization analysis is proposed to enhance the design of products with reduced energy consumption.
Prediction of flammability limits for ethanol-air blends by the Kriging regression model and response surfaces
Flammability limits must be identified in order to assess and control handling risks of particular processes according to combustion product composition and environmental conditions. The present paper aims to present a model that can predict flammability limits for ethanol-air blends with at different moisture concentrations by Kriging interpolation techniques.
Design of ducted propeller nozzles through a RANSE-based optimization approach
Marine propellers design requirements are always more pressing and the application of unusual propulsive configurations, like ducted propellers with decelerating nozzles, may represent a valuable alternative to fulfill stringent design constraints. This study proposes an optimization approach for the design of the accelerating
and decelerating nozzles for ducted propeller applications.
Optimization of a Brazilian FPSO Fuel Consumption for Petroleum Composition with Maximum Oil and Gas Content Using Genetic Algorithm Method
Considering the relevance of the FPSO (Floating, Production, Storage and Offloading) for Brazilian petroleum market, the main goal of this project is to provide an optimization procedure on Primary Petroleum Platform operating under maximum oil/gas composition of the crude oil configuration, based on coupling of thermodynamic modeling and optimization method.
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.
Crystal Plasticity Modeling and Experimental validation with an orientation distribution function for Ti-7 al alloy
An optimization study is performed to identify the slip system parameters of Ti-Al alloys (Ti-0Al and Ti-7Al) using the available tension and compression experimental data showing the true stress - true strain curves of the alloys.
How can decision makers be supported in the improvement of an emergency? A simulation optimization and data mining approach
This paper presents a novel approach in healthcare in which Discrete Event Simulation, Simulation-Based Multi-Objective Optimization and Data Mining techniques are used in combination. This methodology has been applied for a system improvement analysis in a Swedish emergency department.