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检索条件"机构=UR22ES12: Modeling Optimization and Augmented Engineering"

共 31 条记录，以下是1-10 订阅

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Heatline Visualization and Entropy Analysis of MHD Conjugate Heat Transfer in a Partitioned Medium Filled with (J5%Ag-85%MgO)/H20 Nanofluid: A Lattice Boltzmann Investigation 15

Heatline Visualization and Entropy Analysis of MHD Conjugate...

引用

15th International Renewable Energy Congress, IREC 2025

作者： Ferhi, Mokhtar Khemiri, Karim Najari, Montassar Djebali, Ridha University of Jendouba UR22ES12: Modeling Optimization and Augmented Engineering Dep. of Computer Sciences Islaib Beja9000 Tunisia

ISBN: (纸本)9798331516772

This study presents a Lattice Boltzmann Method (LBM) simulation of magnetohydrodynamic (MHD) conjugate heat transfer in a partitioned medium utilizing a (15%Ag-85%MgO)/H20 hybrid nanofluid. The investigation focuses on the enhancement of heat transfer and the minimization of entropy generation. Heatline visualization is employed to provide a clear representation of the heat transport mechanisms within the complex geometry, revealing the influence of the magnetic field and the nanofluid on the flow patterns and thermal distribution. The analysis quantifies entropy generation, providing a measure of thermal irreversibilities within the system. Results demonstrate the significant impact of both the magnetic field strength and the hybrid nanofluid on the heat transfer performance and entropy generation. The combined use of LBM, heatline visualization, and entropy analysis offers a comprehensive understanding of the complex interactions within the system, providing valuable insights for the design of advanced thermal management systems. © 2025 IEEE.

关键词： Magnetohydrodynamics

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Design of Experiments for Heat Transfer Phenomena and Entropy Generation in Thermal Management of Electronic Components 15

Design of Experiments for Heat Transfer Phenomena and Entrop...

引用

15th International Renewable Energy Congress, IREC 2025

ISBN: (纸本)9798331516772

This work explores the application of Design of Experiments methodologies to systematically investigate and optimize thermal management strategies, with a specific focus on maximizing heat transfer minimizing entropy generation. DOE provides a statistically robust framework for enabling the efficient identification of key parameters influencing heat transfer characteristics. This study employs a carefully designed experimental matrix to systematically vary critical parameters such as Rayleigh number (Ra), component length (L) and component position (P). Analysis of variance (ANOVA) is used to develop empirical models that quantify the relationships between these parameters and both heat transfer performance and entropy generation. The analysis reveals optimal parameter values that effectively reduces entropy generation, leading to a more sustainable and efficient heating solution. Polynomial regressions for the interaction between these parameters are correlated. The findings provide valuable insights and practical guidelines for optimizing thermal management in a wide range of electronic applications. © 2025 IEEE.

关键词： DOE entropy generation Heat transfer enhancement LBM optimization

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Enhancing State of Charge estimation for Lithium-Ion Batteries in Noisy Environments Using a Hybrid LSTM-EKF Mode 15

Enhancing State of Charge Estimation for Lithium-Ion Batteri...

引用

15th International Renewable Energy Congress, IREC 2025

作者： Khemiri, Karim Najari, M. Ferhi, M. Djebali, R. Bjaoui, M. University of Jendouba UR22ES12: Modeling Optimization and Augmented Engineering Islaib Beja9000 Tunisia Laplace Université de Toulouse Cnrs Inpt Ups Toulouse France

ISBN: (纸本)9798331516772

Lithium-ion battery State of Charge (SoC) calculation must be done accurately in order to maximize energy management in energy storage and electric car systems. SoC precision is impacted by issues like measurement noise and environmental influences, though. This research suggests a hybrid method to increase accuracy and robustness in noisy situations by combining Extended Kalman Filtering (LSTM-EKF) with Long Short-Term Memory (LSTM) networks. Through effective data fusion, the LSTM-EKF improves the model's capacity to manage noise, while the LSTM captures nonlinear battery dynamics. The hybrid model performs better than conventional techniques, according to experimental data, providing more dependable battery monitoring and effective energy utilization for electric mobility and sustainable energy. © 2025 IEEE.

关键词： State of charge

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Analyzing Series Resistance Effects on PV Characteristics and estimation Using LSTM-EKF 15

Analyzing Series Resistance Effects on PV Characteristics an...

引用

15th International Renewable Energy Congress, IREC 2025

作者： Khemiri, Karim. Najari, M. Ferhi, M. Djebali, R. Bjaoui, M. Islaib University of Jendouba UR22ES12: Modeling Optimization and Augmented Engineering Beja9000 Tunisia Laplace Université de Toulouse Cnrs Inpt Ups Toulouse France

ISBN: (纸本)9798331516772

The paper explores the modeling of photovoltaic (PV) generators and the influence of series resistance (Rs) on their electrical characteristics, particularly the I-V and P-V curves. By visualizing the variations in these characteristics with different values of Rs, we demonstrate how this parameter impacts power output and system efficiency, providing insights into potential performance issues such as cell degradation. To address the challenges of accurate Rs estimation, we introduce the use of a deep Kalman filter, which combines deep learning and recursive filtering techniques for robust state estimation. This approach enhances real-time monitoring capabilities, enabling fault detection and predictive maintenance for PV systems. The results show that deep Kalman filtering can effectively estimate Rs in noisy and dynamic environments, contributing to more reliable and efficient PV system operations. © 2025 IEEE.

关键词： Predictive maintenance

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Design of Experiments Investigation of Synthetic Jets Cooling Efficiency 14

Design of Experiments Investigation of Synthetic Jets Coolin...

引用

2023 14th International Renewable Energy Congress, IREC 2023

作者： Djebali, Ridha Khilifi, Dorra Ferhi, Mokhtar Islaib University of Jendouba UR22ES12: Modeling Optimization and Augmented Engineering Beja9000 Tunisia Higher Institute of Human Sciences University of Jendouba Jendouba Tunisia

This study investigates the dynamic and thermal behavior of a synthetic jet in a symmetric two-dimensional configuration composed of the surrounding air. The jet is cyclically driven by an actuator at a Reynolds numbe... 详细信息

ISBN: (纸本)9798350342840

关键词： Design of experiments

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Computational and DOE Assessment of Heat Transfer and Thermodynamic Second Law in Closed Medium with Internal Fan 14

Computational and DOE Assessment of Heat Transfer and Thermo...

引用

2023 14th International Renewable Energy Congress, IREC 2023

作者： Djebali, Ridha Ferhi, Mokhtar Khilifi, Dorra University of Jendouba UR22ES12: Modeling Optimization and Augmented Engineering Islaib Beja9000 Tunisia Higher Institute of Human Sciences University of Jendouba Jendouba Tunisia

ISBN: (纸本)9798350342840

This article presents an optimization study focused on heat transfer enhancement and irreversibility minimization in a two-dimensional square cavity with an elliptic heating element and internal fan. The study utilizes a Box-Behnken design of experiments (DoE) model to systematically explore the effects of input factors on heat transfer and irreversibility. The results reveal complex non-linear relationships between the input factors and the responses. Through the optimization process, an optimal combination of input factors is identified, which yields a significant improvement in heat transfer efficiency and a reduction in thermodynamic irreversibility. The findings provide valuable insights for the design and optimization of thermal systems, enabling engineers to make data-driven decisions to enhance performance and efficiency while minimizing energy losses. © 2023 IEEE.

关键词： Design of experiments

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Appraising heat transfer enhancement by nanofluid and entropy generation minimization in a micro tall cavity: : Magnetic field and sinusoidal heating effects 13

Appraising heat transfer enhancement by nanofluid and entrop...

引用

13th International Renewable Energy Congress, IREC 2022

作者： Djebali, Ridha Ferhi, Mokhtar University of Jendouba UR22ES12: Modeling Optimization and Augmented Engineering Dep. of Computer Sciences ISLAIB Beja9000 Tunisia

ISBN: (纸本)9781665488976

Improving heat transfer is a challenging area of research. In recent years, new ideas have continuously emerged on this subject. Microchannels and microcavities have proven better heat transfer efficiency [1-3]. The present study aims to analyze the magnetohydrodynamics (MHD) heat transfer enhancement and entropy generation in a micro open tall cavity filled with nanoliquid under the effects of uniform magnetic field and bottom sinusoidal heating in the slip flow regime. A mesoscopic numerical analysis based on the SRT-BGK lattice Boltzmann numerical method (LBM) is used to resolve the governing equations with boundary conditions special treatment. The slip velocity and the temperature jump conditions are used to incorporate the micro aspect. The flow pattern, heat transfer characteristics and the irreversibility pattern are studied dependently on various dimensionless independent monitoring parameters in a set of ranges, namely: Rayleigh number (Ra) (102-104), Knudsen number (Kn) (0-0.1) and Hartmann number (Ha) (0-80), nanosuspensions volume fraction Vf (0-0.04%) as well as the magnitude A (0-1) and wave length parameter f of the sinusoidal heating function T(x) =A sin(fx/L), 1≤f=2πL/λ≤9 and λ is the signal wavelength. © 2022 IEEE.

关键词： Numerical methods

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Heat Transfer and Irreversibility Response Due to Natural Convection in a Micro Partially Porous Cavity: Micro-Electronic Cooling Application 14

Heat Transfer and Irreversibility Response Due to Natural Co...

引用

2023 14th International Renewable Energy Congress, IREC 2023

作者： Ferhi, Mokhtar Khilifi, Dorra Djebali, Ridha Islaib University of Jendouba UR22ES12: Modeling Optimization and Augmented Engineering Dep. of Computer Sciences Beja9000 Tunisia Higher Institute of Human Sciences University of Jendouba Jendouba Tunisia

ISBN: (纸本)9798350342840

Recently, new ideas have emerged in the area of cooling micro-electronic component and becomes a challenging area of research. In this context, Micro porous channels and micro porous cavities have proven their increased efficiency for better heat transfer. The present study aims to analyze the MHD heat transfer enhancement and entropy generation in a micro open tall porous cavity filled with nanoliquid under the effect of uniform magnetic field in the slip flow regime. A mesoscopic numerical analysis based on the SRT-BGK lattice Boltzmann numerical method (LBM) is used to resolve the governing equations from the continuous to the slip flow regime with special treatment of the boundary conditions. The bottom side wall is partially heated with a constant temperature T H;however a cold temperature Tc is imposed to the top side wall. The effects of quadratic combination of several monitoring design factors in defined ranges, namely: Rayleigh number (Ra), Knudsen number (Kn), Darcy number (Da) and the medium porosity (Da) on heat transfer enhancement and volumetric entropy generation were reported. The improvement quality and performance of thermal system are determinate based on design of experiments (DOE) and a polynomial regression for the interaction between these parameters is correlated. © 2023 IEEE.

关键词： Numerical methods

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DOE of heat transfer and entropy generation in channel microheat exchanger driven by a coflow 13

DOE of heat transfer and entropy generation in channel micro...

引用

13th International Renewable Energy Congress, IREC 2022

作者： Djebali, Ridha Ferhi, Mokhtar University of Jendouba UR22ES12: Modeling Optimization and Augmented Engineering Dep. of Computer Sciences ISLAIB Béja9000 Tunisia

ISBN: (纸本)9781665488976

This paper aims to perform heat transfer and entropy generation in a micro medium filled with nanoliquid in the slip flow regime. The case of microchannel is investigated using a mesoscopic numerical analysis. The nanofluid flow is driven along the microchannel by a co- flow at the inlet. Near the top cold wall the flow is induced by a constant velocity (Uin) and hot temperature (TH) but near the bottom heated wall the nanoliquid is driven by a constant velocity (Uin/4) and a cold temperature (TC). The slip velocity and the temperature jump conditions are imposed to the walls. Lattice Boltzmann method was used to solve the obtained governing equation system by means of the SRT-BGK model. Attention was focused on the influence of the emerging input parameters such as Knudsen number (Kn), Reynolds number (Re), nanoparticles diameter (Dp) and volume fraction (Vf) on the heat transfer enhancement and entropy generation minimization throughout this paper. Correlations of heat transfer enhancement and volumetric entropy have been inscribed based on response surface methodology. © 2022 IEEE.

关键词： Reynolds number

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Micro Scale modeling of Heat Transfer and Entropy Generation in a Partially Porous Channel Using Lattice Boltzmann Method and Design of Experiments 14

Micro Scale Modeling of Heat Transfer and Entropy Generation...

引用

2023 14th International Renewable Energy Congress, IREC 2023

作者： Ferhi, Mokhtar Khilifi, Dorra Djebali, Ridha Islaib University of Jendouba UR22ES12: Modeling Optimization and Augmented Engineering Dep. of Computer Sciences Béja9000 Tunisia Higher Institute of Human Sciences University of Jendouba Jendouba Tunisia

ISBN: (纸本)9798350342840

Micro porous structures such as micro porous channel and micro porous cavities are characterized by very high energy efficiency. In this context, a numerical investigation based on the Lattice Boltzmann method is carried out in a micro porous channel filled with Cu/Water nanofluid in order to determinate the maximum of heat transfer by minimizing the irreversibility inside the micro porous geometry using design of experiments. In order to scrutinize the performance of this micro heat-exchanger from the continuous to the slip flow regime a coolant nanoliquid is diffused through the micro porous medium. The impact of independent several input design factors such as Kn, Re, Da and 8 is presented. The combination between the input design factors leads to obtain an optimized model in which the heat transfer is the maximum and the entropy generation is minimum. The results are presented in terms of response surface of heat transfer and total entropy generation. Correlations of the optimized model are then determinate. © 2023 IEEE.

关键词： Heat transfer

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