TARIK Bouchala

ABDELATIF IBRAHIM , CHAICHE ALI

Theoretical and Experimental Study of Magnetic Field Leakage Testing of Drill Pipes

MANSOUR Taha Mahmoud

Simulation et Expérimentation d’un Système de CND par Courants de Foucault pour la détection de fissures

Abderrahmane ABOURA

Eddy Current Imaging Using Sensor Arrays for the Detection and Characterization of Random Defects

Merwane KHEBAL

Résolution des Problèmes Inverses dans les Systèmes d’Inspection par Courants de Foucault Non Destructifs des Structures Aéronautiques

REZKI Imad_ , BARKATI_Beha_Eddine

Détection et Réparation de Défauts de Gestion Moteur Automobile Essence

Moussab Hassen youra , Mohamed Ahmed sidi Mohamed

Détection et Réparation de Défauts de Gestion Moteur Automobile diesel

Aouf Anouar Assadat

Etude pour la réalisation d'une sonde multicapteurs à courants de Foucault pour l'inpection de matériaux à grandes surfaces

Amroune Marouane Abd allah , Tabti Abd Elghani

Etude et simulation 3D d'un capteur MFL destiné pour l'inspection des Equipements des installations hydrocarbures

Benmoussa Oum salama

Utilisation de Méthodes d'Optimisation pour la Résolution des Problèmes Inverses: Application aux Contrôle Non Destructif par Courants de Foucault

Belkhieri Kamel

etude et conception de dispositif d'inspection par Flux de Fuite Magnétique des installations hydrocarbures

This paper presents the design and modeling of a rotating eddy current array (ECA) system tailored for efficient detection and sizing of defects in complex and multilayer aerospace structures. The proposed system integrates a transmit/receive coil configuration with a rotating scanning mechanism, enhancing sensitivity, spatial resolution, and inspection coverage. Detailed descriptions of the sensor architecture, multiplexing strategy, and excitation parameters are provided, along with schematic illustrations of the system design. Simulation results demonstrate the system’s ability to detect defects regardless of rivet size or layer geometry, indicating uniform sensitivity and improved robustness. These findings confirm the system’s potential for reliable and rapid non-destructive evaluation of aerospace components, particularly in geometrically complex environments.

Citation

tarik Bouchala , , (2025-10-07), Rotating Eddy Current Array for Efficient Detection and Sizing of Defects in Multi-Layer Aerospace Structures, Russian Journal of Nondestructive Testing, Vol:61, Issue:1, pages:1004–1015, springer

Passenger and rail personnel safety is paramount. Rail defects can lead to derailments, collisions, and serious accidents if not detected and addressed in time. A reliable and efficient rail network requires regular and effective infrastructure maintenance. Early defect detection allows for planning and carrying out necessary repairs before problems escalate. Maintenance and repair costs for railway tracks can be significantly reduced through continuous monitoring and prompt intervention when defects are identified. Early defect detection helps extend the lifespan of rails and minimize disruptions to rail traffic, thus improving the overall reliability and availability of the network. Traditional inspection methods, such as visual or ultrasonic checks, have limitations in detecting and characterizing rail defects. Eddy current imaging offers an innovative solution for non-destructive and more comprehensive rail inspection. This technique allows visualizing the rail surface and subsurface in detail, revealing defects that might be difficult to detect using other methods. Imaging provides richer data, enabling in-depth analysis of the size, shape, and location of defects, facilitating accurate assessment of their criticality. Early defect detection through eddy current imaging contributes to informed decision-making in maintenance planning, optimizing interventions and reducing safety risks. This innovative technology is particularly beneficial for high-traffic rail networks, where continuous monitoring and rapid defect detection are essential. In summary, eddy current imaging represents a significant advancement in rail defect detection and characterization, contributing to improved safety, reliability, and efficiency of the rail network.In this paper, a railway inspection system is developed based on the use of multiple sensors for detecting surface defects on the rails. They emphasize the importance of integrating different types of sensors, such as vision sensors, laser sensors, ultrasonic sensors, etc., to achieve a more comprehensive and precise assessment of the rail condition.

Citation

tarik Bouchala , , (2024-12-31), Detection of crack in railhead by using eddy current array probe, STUDIES IN ENGINEERING AND EXACT SCIENCES, Vol:5, Issue:3, pages:1-10, Studies in Engineering and Exact Sciences

In a world where the reliability and lifespan of industrial equipment are critical, our research aims to go beyond the traditional limits of non-destructive testing. We seek to achieve accurate detection and comprehensive imaging of defects in their various forms by harnessing the capabilities of eddy current testing with multiplexing technology on multi-element sensors. This approach allows us to save time and ensure the quality of results. This paper presents a method for detecting and imaging different defect paths on an aluminium plate. Our methodology involves the strategic deployment of multi-sensor techniques specifically designed for eddy current testing. To address the inherent challenge of mutual magnetic induction between these sensors, we employ the alternating feed method, which is an advanced technology that ensures data integrity and significantly accelerates scanning times. By combining this technology with multi-sensor techniques, we capture signals that provide valuable insights into the presence of defects. Additionally, we produce 3D imaging that enables us to trace their paths, regardless of size. These preliminary results lay the foundation for future research aimed at accurately characterizing and visualizing the shapes and dimensions of these defects, thereby contributing to a more comprehensive understanding of defect behaviour.

Citation

tarik Bouchala , , (2024-12-12), Reconstruction of Defect Paths Using Eddy Current Testing Array 3D Imaging, Acta Universitatis Sapientiae, Vol:16, Issue:, pages:38–47, SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA

The study of 3D eddy current is non destrucWve testing system for cracks characterization using finite element method requires a great amount of computing time and memory space. In this article, we have validated the developed model and then determined directly the crack length by analyzing the complete signal. Afterwards, we have extracted from the complete sensor sweep signal the maximal amplitude that we have exploited to estimate the crack depth.

Citation

tarik Bouchala , ,(2024-12-11), Efficient Eddy Current Detection of 3D Cracks Through Probe Signal analysis,1st International Conference on Water, Energy, Environment and Materials Engineering,Ouargla

This study uses Particle Swarm Optimization (PSO) to estimate material properties like conductivity and permeability from eddy current testing data, crucial for industrial reliability in aerospace and energy sectors. PSO effectively solves inverse problems, handling noisy or incomplete data. The results highlight PSO's role in improving the accuracy and reliability of material property estimation, advancing non-destructive testing methods.

Citation

Merwane khebal , ABDELHAK Abdou , tarik Bouchala , ,(2024-12-10), Nondestructive Evaluation of Material Properties through Particle Swarm Optimization,NATIONAL CONFERENCE ON COMPUTATIONAL ENGINEERING, ARTIFICIAL INTELLIGENCE AND SMART SYSTEMS NC2EAIS22024,Tamanrasset, Algeria

This study presents an advanced optimization approach based on the Runge-Kutta algorithm to estimate the depth of internal defects in multilayer structures. The method is distinguished by its rapid and precise convergence toward optimal solutions, demonstrating its effectiveness in non-destructive testing applications. The analysis reveals high accuracy from the early iterations and a rapid reduction of errors, confirming the potential of this method to improve defect estimation in industrial environments, with superior accuracy and speed compared to traditional approaches.

Citation

Merwane khebal , ABDELHAK Abdou , tarik Bouchala , ,(2024-12-10), A Runge-Kutta Method for Optimizing Defect Depth in Multilayer Structures,NATIONAL CONFERENCE ON COMPUTATIONAL ENGINEERING, ARTIFICIAL INTELLIGENCE AND SMART SYSTEMS NC2EAIS22024,Tamanrasset, Algeria

Mainly, this paper presents experimental study of the detection of fatigue damages crack occurred in areas around the round head rivets due to the increased level of stress concentration. Hence, we have used a rotational eddy current differential probe because this kind of rivet perturbs Lift-off while using the usual sliding inspections methods. As predicted, the experiment results have shown that the defect can be detected with high sensibility even if the fastener is present. However, some geometrical parameters such as Lift-off and the distance between the rivet and the probe axis must be kept constant. On other hand, the noise signals became neglected, in aircraft routine inspection, when the Lift-off and the distance between the probe and the rivet are minimal.

Citation

tarik Bouchala , ,(2024-11-17), Simulation of 3D Crack by Analyzing Probe Signal in Multilayer Structures Near Rivet Holes,colloque sur inductique,Université de Msila

In the industrial sector, ensuring reliability and durability is of paramount importance. Our research aims to advance beyond conventional non-destructive testing methods by focusing on thorough defect detection and imaging. We utilize advanced, sensor-enhanced eddy current testing, featuring multiple elements arranged in a cutting-edge serial array. This innovative configuration addresses the issue of magnetic repulsion between sensor elements, thereby speeding up the testing process and ensuring precise results through both 3D and 2D imaging. This sophisticated approach allows us to more effectively characterize defects of varying sizes and depths in aluminum sheets. By meticulously collecting and analyzing data from the sensors, we can identify the appearance and nature of these defects with greater clarity. Our findings introduce a pioneering method for defect detection, highlighting the efficacy of our advanced testing technique. Our research underscores the potential of multi-element eddy current sensors in revolutionizing the inspection process. The ability to produce detailed 3D and 2D images of surface and internal defects represents a significant leap forward in non-destructive testing. This comprehensive imaging capability not only accelerates the detection process but also enhances the accuracy and reliability of defect characterization. By employing this state-of-the-art technology, we can detect even the smallest and most deeply embedded defects that traditional methods might miss. The precise imaging provided by our approach ensures that defects of various sizes and depths are accurately identified and characterized. This level of detail is crucial for maintaining the structural integrity and performance of aluminum sheets used in industrial applications. Our research demonstrates a groundbreaking approach to defect detection in aluminum sheets, leveraging the advanced capabilities of multi-element eddy current sensors. The innovative use of a serial array of sensors, combined with sophisticated data analysis techniques, allows for rapid, accurate, and detailed imaging of defects. These findings pave the way for improved reliability and durability in industrial applications, setting a new standard for non-destructive testing.

Citation

tarik Bouchala , , (2024-07-16), Inspection of aluminum sheets using a multi-element eddy current sensor: 2d and 3d imaging of surface defects of various sizes and internal defects at various depths, STUDIES IN ENGINEERING AND EXACT SCIENCES, Vol:5, Issue:2, pages:1-9, Studies in Engineering and Exact Sciences

Nowadays, 3D eddy current nondestructive characterization of crack and corrosion defects while using ECA remains an industrial challenge because the obtained image permits to determine only the 2D defect shape. Consequently, this article is devoted to determine directly the crack length and width by eddy current images through sensor array. Afterwards, we extract the maximal impedance amplitude to estimate the crack depth while using the deterministic algorithm that we have recently developed. In fact, the obtained results have demonstrated the effectiveness and the reliability of the proposed method.

Citation

tarik Bouchala , , (2023-04-02), 3D surface crack characterization by eddy current array image and a fast algorithm search, Journal of ELECTRICAL ENGINEERING, Vol:74, Issue:2, pages:127-131, Sciendo