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  • Design and simulation of additive manufactured structures of three component composite material

    Lattice structures have become widespread in many areas. Their obvious advantage is the light weight and significant cost savings of a material. Application of unidirectional composite materials allows preserve the exceptional strength properties of composites in construction regardless of the loading direction. For this reason, the lattice composite structures are actively used in the aerospace industry. The goal of this work is the study of the property change of lattice structures of three component composite materials depending on their parameters, as well as the determination of optimal configurations of these structures.​ 

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  • Damage characterization of aluminum 2024 thin sheet for different stress triaxialities

    Due to its attractive mechanical properties, aluminum 2024 is widely used in aircraft manufacturing industries, especially as fiber metal laminates, such as GLARE. In the present work, a series of experiments for different stress triaxialities are used to study the ductile damage of Al 2024 considering continuum damage mechanics (CDM).​

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  • Performance of different optimization concepts for reactive flow systems based on combined CFD and response surface methods

    Optimization of reactive flow systems, e.g. coal and biomass combustion, gasification or partial oxidation, is usually a multi-parameter problem, while geometry configurations (e.g. reactor dimensions, burner dimensions) and operating conditions (e.g. fuel mass flow, reactor temperature, cooling capability) mainly determine the process efficiency and profitability. 

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  • 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.

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  • 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.

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  • Vibration reduction using biologically inspired topology optimization method optimal stiffeners distribution on an acoustically excited plate

    In this work, a biologically inspired topology optimization method based on dendritic structures has been developed and applied to a dynamic vibration suppression problem (acoustically excited plate). The proposed method showed improved performance in comparison to traditional optimization methods, with an advantage also in mass savings.

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  • Optimization of laser micro milling of alumina ceramic using radial basis functions and MOGA II

    This paper considers the analysis and optimization of laser micro milling of alumina ceramics using smooth spline analysis of variance (ANOVA), radial basis functions (RBF), and a multi-objective genetic algorithm (MOGA-II). The workflow for the optimization study is developed using the software modeFRONTIER.

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  • NUMERICAL MODELING OF DYNAMIC RESPONSE OF FABRIC MATERIALS SUBJECTED TO IMPACT LOADING

    The present work investigates the dynamic response of fabric materials subjected to impact loading. The major purpose of study is the implementation, calibration and validation of meso-scale approach and material model for fabrics modeling in order to accurately predict their dynamic response. modeFRONTIER was chosen for the optimization methodology.

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  • Modeling and multi objective optimization of closed loop supply chains

    This paper investigates an optimization methodology of an asset management process in a real closed-loop supply chain (CLSC). The model is reproduced on a simulator and exploited for multi-objective optimization purposes, supported by the commercial software ModeFRONTIER.

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  • 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.

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