Documents published in Scipedia

• Simplified Electromagnetic Method for the Analytical Euclidean Modeling of Multiple Electrical Conductors in Arbitrary Directions

  D. Cardenas, S. Portugal, A. Chong

  Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 33

  
  

  Abstract

  The analytical modeling of electromagnetic fields generated by multiple current-carrying conductors is fundamental in power systems, electromagnetic compatibility, and transmission line analysis. Traditional analytical methods often assume conductors aligned with the coordinate system axes, limiting their applicability to arbitrary configurations. This paper presents a novel analytical approach that determines the exact electric and magnetic fields for multiple conductors oriented in arbitrary directions within a Euclidean space, assuming linear, homogeneous, and isotropic media. Unlike numerical methods, such as the Finite Element Method (FEM), which require extensive meshing and domain discretization, the proposed method directly computes field vectors without interpolation or artificial boundary conditions. The applicability of the method is evaluated through four case studies, demonstrating its effectiveness in various configurations, including power transmission lines, communication cables, and grounding systems in homogeneous isotropic media. Additionally, a comparative analysis is performed using a specific case with a known analytical solution, validating the method against FEM-based solvers such as ANSYS Maxwell and FEMM. The results confirm that the proposed approach achieves higher accuracy with significantly lower computational costs.OPEN ACCESS Received: 10/03/2025 Accepted: 09/06/2025 Published: 30/06/2025

  Abstract
  The analytical modeling of electromagnetic fields generated by multiple current-carrying conductors is fundamental in power systems, electromagnetic compatibility, and transmission [...]

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• Bidirectional Fluid-Structure Coupling Analysis of Steering Tool Performance with Spring Stress Consideration

  X. Zhou, Y. Peng, W. Cheng, Y. Xue, H. Fang

  Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 32

  
  

  Abstract

  This paper investigates the automatic steering tool in the integrated injection-production tubing string and proposes an analysis method for bidirectional fluid-structure coupling problems, incorporating spring stress accumulation. The pre-stress field feature in ABAQUS software is used to model the variation in leaf spring stress. A ball valve acts as an intermediary, and FLUENT software is employed to simulate the transfer of forces between the flow field and the ball valve’s motion. The results indicate that the transition response time from steam injection to oil production under the designed operating conditions is approximately 0.0787 s. The motion path of the ball valve aligns with expectations, exhibiting stable movement. Additionally, an indoor simulation of the steering tool’s opening and closing performance was conducted, with high-speed cameras used for experimental validation. The simulation and experimental results show a discrepancy of less than 15%, confirming the accuracy of the numerical model and providing theoretical support for the practical application of integrated injection-production tubing string technology.OPEN ACCESS Received: 06/11/2024 Accepted: 01/04/2025 Published: 30/06/2025

  Abstract
  This paper investigates the automatic steering tool in the integrated injection-production tubing string and proposes an analysis method for bidirectional fluid-structure [...]

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• Numerical Investigations of Fractional Complex Coupled Maccari and Cahn-Hilliard Equations Using Controlled Picard Iteration with ρ-Laplace Transform

  N. Raza, Z. Khalid, Y. Chahlaoui, M. Farman, E. Hincal

  Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 31

  
  

  Abstract

  This article presents a semi-analytical approach to address two nonlinear evolution equations: the fractional complex coupled Maccari system and the fractional Cahn-Hilliard equation. These mathematical models encapsulate essential concepts such as non-locality and memory, making them applicable in signal and image processing. The proposed method utilizes the controlled Picard framework combined with theρ-Laplace transform. The recommended approach eliminates the necessity for traditional techniques, such as Lagrange multipliers and Adomian expansions, by integrating the controlled Picard method with theρ-Laplace transformation. Additionally, a minimal parameter, ¯h, has been introduced to improve the convergence of the system under investigation. The results have been validated against exact solutions, and absolute error analyses support the accuracy of the proposed approach. The article includes 2D and 3D plots to illustrate how results vary with different parameters. In conclusion, this paper demonstrates that our method is explicit and efficiently executable.OPEN ACCESS Received: 25/03/2025 Accepted: 07/05/2025 Published: 30/05/2025

  Abstract
  This article presents a semi-analytical approach to address two nonlinear evolution equations: the fractional complex coupled Maccari system and the fractional Cahn-Hilliard [...]

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• Investigation of the Effect of Harmonics Caused by Transformer-Induced Nonlinear Loads on Electrical Energy

  S. Rüstemli, N. Sezgin, B. Coskun, G. Sahin

  Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 30

  
  

  Abstract

  In this study, distribution transformers in the Mu¸s Alparslan University campus are analyzed in order to minimize energy losses due to harmonics in the electrical network. Current and voltage harmonics, which are the power quality problems of these transformers, are analyzed. The power quality of different transformers in Mu¸s Alparslan University was measured with a Chauvin Arnoux CA:8331 energy analyzer. Three-phase nonlinear load models were created using current harmonic values in the Matlab/Simulink environment. A parallel active power filter is designed in the Matlab/Simulink environment to eliminate current harmonics. The performance of the parallel active power filter is analyzed for each transformer. As a result, the total harmonic distortion (THDI) ratio for the current decreased from 6.78% to 1.38% in fast Fourier transform analyses after the parallel active power filter was activated in the first transformer. Similarly, the THDI ratio decreased from 5.1% to 2.19% in the second transformer, from 4.5% to 1.39% in the third transformer, and from 5.63% to 1.36% in the fourth transformer.OPEN ACCESS Received: 20/02/2025 Accepted: 15/04/2025 Published: 30/05/2025

  Abstract
  In this study, distribution transformers in the Mu¸s Alparslan University campus are analyzed in order to minimize energy losses due to harmonics in the electrical network. [...]

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• Vectorization for Tower Sketches Using Large Model and Deep Learning

  Z. Tang, C. Han, H. Li, Z. Fan, K. Sun, Y. Huang, Z. Xu, C. Wang

  Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 29

  
  

  Abstract

  Background:3D modeling of transmission towers from hand-drawn sketches is occasionally needed in the exploration stage, construction stage, or operation of transmission lines. To achieve automatic 3D modeling, extracting standard vectors from the sketches is very important, however, this is still lacking for real applications. Methods: In this article, we propose a method for automatically converting the hand-drawn design drawings of a tower into standard vector diagrams. The network ControlNet is introduced to control the image generation model Stable Diffusion, to convert hand-drawn sketches into standard line-structural diagrams. Then, a vectorization network is used to vectorize the line structure, and some designed optimization modules are proposed to refine the vector extraction results. Results: Experiments prove that our method can output the most accurate and robust vectorization results compared with some state-of-the-art methods. Conclusion: The proposed method is automatic and does not need manual operations, which can bring convenience for the intelligent design and modeling of transmission towers. Furthermore, it can also provide technical support for developing relevant digital products for the smart grid.OPEN ACCESS Received: 31/10/2024 Accepted: 13/02/2025 Published: 30/05/2025

  Abstract
  Background:3D modeling of transmission towers from hand-drawn sketches is occasionally needed in the exploration stage, construction stage, or operation of transmission lines. [...]

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• Exploring the Flow Dynamics of MHD Hybrid Nanofluid over a Non-Flat Porous Surface Using Neural Network Approach

  H. Upreti, A. Pandey, T. Gupta

  Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 28

  
  

  Abstract

  T he current work examined the heat transfer performance of TiO2 Al2O3/kerosene oil flowing over a permeable non-flat plate. The energy equation is modeled using Fourier’s law, and heating is supported by Joule heating and nonlinear thermal radiation. Moreover, the momentum equation is extended with mixed convection, magnetic field, and porous medium. We applied an artificial neural network (ANN) to the data obtained from the bvp4c solver to show the significance of AI techniques in predicting skin friction coefficient (SFC) and local Nusselt number (LNN) values. The ANN is developed with the Levenberg-Marquardt backpropagation algorithm to predict the values precisely, and its signif icance is assessed in terms of mean square error (MSE) between values obtained by the bvp4c solver and the predicted value neural network. T heoutcomes revealed that the heat transfer rate decayed with the rise in variable thermal conductivity. Moreover, when increasing the magnitude of the mixedconvectionparameter,thefluidvelocity constantly increases.

  Abstract
  T he current work examined the heat transfer performance of TiO2 Al2O3/kerosene oil flowing over a permeable non-flat plate. The energy equation is modeled using Fourier’s [...]

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• Stability and Chaotic Analysis of Nonlinear Fractional Model Using Novel Analytical Technique: Soliton Solutions for Wazwaz Kaur Boussinesq Equation

  A. Mumtaz, M. Shakeel, A. Manan, N. Shah

  Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 27

  
  

  Abstract

  This study examines the exact solutions of the nonlinear WazwazKaur Boussinesq (NLWKB) equation in (2+ 1)-dimension by using a novel modified (G /G2)-expansion method. This examination uses BetaDerivative, M-Truncated and Conformable derivatives for finding new closed-form soliton solutions. The graphic demonstration covers some of these solutions. These visualized graphs show individual W-type, bright, and dark solitons to emphasize the effect of fractional derivatives on the behavior of waves. Furthermore, the study investigates the bifurcation analysis, chaotic dynamics, multistability, and Poincaré maps to describe the stability transitions of the system. The results illustrate how fractional calculus improves soliton modeling and nonlinear wave propagation, with possible applications in plasma physics, optical fiber communications, ion-acoustic, magneto-sound, and stationary media, and wave dynamics in complex media, and the transmission of tidal and tsunami waves. The proposed method proves to be a powerful method for solving nonlinear fractional models and examining their dynamic behavior.OPEN ACCESS Received: 12/02/2025 Accepted: 15/04/2025 Published: 30/05/2025

  Abstract
  This study examines the exact solutions of the nonlinear WazwazKaur Boussinesq (NLWKB) equation in (2+ 1)-dimension by using a novel modified (G /G2)-expansion method. This [...]

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• The Sealing Failure Mechanism of Old Well Plugging Section under Thermo-Mechanical Coupling in Salt Cavern Hydrogen Storage

  J. Wang, B. Zheng, R. Zhang, Q. Ren, Z. Song

  Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 37

  
  

  Abstract

  To address the plugged sections of old wells in salt-cavern hydrogen storage facilities, this study establishes a three-dimensional finite element model considering fluid-solid-thermal multi-field coupling effect is established. based on the Cohesive Zone Model (CZM). The model simulates the debonding failure process at the cement plug-formation interface and investigates the effects of various gas injection scenarios, operational pressures, formation temperatures, mechanical parameters of the cement plug, and interface bonding quality on the debonding failure length. Simulation results indicate that hydrogen, compared to natural gas, is more prone to interface debonding failure and leakage. Increasing the cement plug’s elastic modulus from 5 to 15 GPa reduces the debonding failure length by 10.37 m and increases the fracture propagation pressure by 2.2 MPa, demonstrating that higher elastic modulus effectively mitigates the risk of interface bonding failure. Increasing the Poisson’s ratio from 0.05 to 0.20 only reduces the debonding failure length by 2.2 m and increases the fracture propagation pressure by 1.2 MPa, indicating that Poisson’s ratio has minimal impact on bonding failure. Micro-annular gaps are highly sensitive to bonding quality, highlighting the need for rigorous quality control at the bonding interface. Under constant low operating pressure, minor debonding persists at the interface, but as operating pressure increases, the debonding failure length grows rapidly. Additionally, with increasing temperature, the debonding failure length gradually decreases. The research findings provide guidance for the optimization of cement slurry formulations and the underground hydrogen storage process.OPEN ACCESS Received: 07/04/2025 Accepted: 10/06/2025

  Abstract
  To address the plugged sections of old wells in salt-cavern hydrogen storage facilities, this study establishes a three-dimensional finite element model considering fluid-solid-thermal [...]

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• Numerical Study of a Vertical Axis Wind Turbine with an Inner Cylindrical Deflector

  N. Al-Khawlani, A. Fazlian, A. Abdalkarem, A. Ibrahim, Z. Harun

  
  

  Abstract

  Climate change demands innovative renewable energy solutions, with wind energy emerging as a key resource. Vertical-axis wind turbines (VAWTs) are particularly suited for low-speed, turbulent wind environments due to their ability to capture wind from all directions. However, VAWTs face aerodynamic difficulties, especially at the downwind, where problems like negative torque and decreased efficiency are frequent. This study explores a novel solution for enhancing VAWT performance by incorporating an inner cylindrical deflector aimed at optimizing airflow around the blades. Using computational fluid dynamics (CFD) simulations, the study focuses on a three-bladed H-type VAWT with an airfoil profile of NACA0018 at a turbine diameter of 1 m. The simulations begin by evaluating a bare turbine arrangement, which shows negative torque beginning at an azimuth angle of about 165 degrees onwards. When a cylindrical deflector of different diameters is introduced, the torque coefficient and overall performance are greatly enhanced by a 0.3-meter diameter. The cylindrical deflector’s effectiveness is demonstrated by the 15% increase in power coefficient C pthat results from its inclusion. These results highlight how an inner cylindrical deflector could be a useful addition to VAWTs, resolving significant inefficiencies while preserving a positive angle of attack. This strategy offers a way forward for more effective VAWT designs in renewable energy systems in addition to increasing energy output. To enhance the efficiency of vertical-axis wind turbines (VAWTs) for both urban and rural applications, future research could investigate different configurations and empirically confirm these findings.OPEN ACCESS Received: 21/01/2025 Accepted: 10/03/2025 Published: 20/04/2025

  Abstract
  Climate change demands innovative renewable energy solutions, with wind energy emerging as a key resource. Vertical-axis wind turbines (VAWTs) are particularly suited for [...]

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• MTNet: Multi-Task Underwater Image Enhancement Method Based on Retinex

  Y. song, X. Deng, H. Shao

  
  

  Abstract

  Underwater images play a critical role in underwater exploration and related tasks. However, due to light attenuation and other underwater factors, underwater images often suffer from color distortion and low contrast, which to some extent limit the efficiency and safety of underwater exploration. To meticulously address these issues and enhance the accuracy and reliability of underwater exploration, this paper proposes a multi-task underwater image enhancement method based on Retinex theory. This method divides the underwater image enhancement task into several sub-tasks, including image decomposition, color correction, detail reconstruction, and illumination adjustment. Specialized sub-networks— DecomNet, DecolorNet, and DelightNet—are designed to specifically address these problems, thereby alleviating color distortion, enhancing image details, and improving contrast. Experiments conducted on several publicly underwater image datasets indicate that the quality of underwater images is significantly improved after enhancement with the proposed method, compared to other representative underwater image processing techniques. For example, on the real-world dataset Underwater Image Enhancement Benchmark, the MSE, Structural Similarity Index Measure, and Peak signal-to-noise ratio scores achieved were 453.480, 0.901, and 25.145, respectively. This study holds significant implications for underwater exploration, with potential applications in the fields of marine research and underwater archaeology.OPEN ACCESS Received: 03/11/2024 Accepted: 27/12/2024 Published: 20/04/2025

  Abstract
  Underwater images play a critical role in underwater exploration and related tasks. However, due to light attenuation and other underwater factors, underwater images often [...]

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