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  • Formulation and optimization of involute spur gear in external gear pump

    The study focuses on developing a methodology of designing asymmetric involute gear, and formulate analytical expression for the instantaneous flowrate and flow non-uniformity given by asymmetric, non-standard involute gear pumps. 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.​

    paper 2017
  • Inverse analysis approach for determining the superplastic behaviour of the Titanium alloy Ti6Al4V-ELI

    The characterization of the superplastic behaviour of the Titanium (Ti) alloy Ti6Al4V-ELI (Extra Low Interstitial), largely adopted for biomedical applications, was carried out by means of free-inflation tests: both tests at a constant pressure and alternatively varying the gas pressure between two levels (JP test) were performed. 

    paper 2017
  • 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.

    paper 2017
  • Optimization of a dish stirling system working with DIR-type receiver using multi-objective techniques

    Multi-objective optimization based on NSGA-II algorithm has been employed to optimize the power and the efficiency of the system, by means of integration of Dish Stirling mathematical model in modeFRONTIER.​ 

    paper 2017
  • 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.​

    paper 2017
  • 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.

    paper 2017
  • 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.

    paper 2017
  • 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.

    paper 2017
  • 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.

    paper 2017
  • 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.

    paper 2017

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