KAMEL Belkhiri

User profile picture

KAMEL Belkhiri

كمال بلخيري

kamel.belkhiri@univ-msila.dz

0675082664

  • DEPARTEMENT OF: ELECTRICAL ENGINEERING
  • Faculty of Technology
  • Grade PHd
Send Mail

About Me

Domain

Science et Technologies

Filiere

Electromécanique

Location

Msila, Msila

Msila, ALGERIA

Code RFIDE

  • 1991-01-03 00:00:00

  • KAMEL Belkhiri birthday

  • 2024-10-02
  • 2024-10-02

    Defect characterization from magnetic field leakage signals in petroleum and natural gas pipelines

    Pipelines transport invaluable energy resources such as crude oil and natural gas over long distances. The integrity of the piping system in terms of safety of the process is then of high importance. However, pipes are prone by time to defects that may degrade their properties and lead to failures. In this paper, we study the effect of defect parameters on the magnetic field leakage captured by Hall sensors operating along the pipe. In fact, the obtained results show that the defect parameters influence directly the MFL amplitude and shape. For this reason, the inversion problem allowing us to reconstruct the defect from the MFL signals became fast and easier in comparison to the deterministic and probabilistic algorithm inversion procedure. However, the simplified system cannot describe the real defects and the three-dimensional numerical study became necessary. In tank floor inspection domain, as our recent published work, we have studied the performance of defect shape reconstruction from MFL array sensor imaging and depth estimation while using an iterative inversion method. Indeed, the first stage consists of determining the defect width and length from magnetic flux leakage mapping reconstructed from the recorded signals of the micro-integrated magnetic sensors. Then, after coupling Comsol and Matlab software, the defect depth is obtained by coupling the 3D finite elements method and a fast iterative algorithm recently developed. Consequently, the defect shape and size are obtained after a few iterations with high precision. Furthermore, this method of defect reconstruction and seizing can be extended for irregular defect shapes encountered in pipeline such as cracks and corrosion.

    Citation

    Merwane khebal , Kamel belkhiri , tarik Bouchala , Abdelhak ABDOU , , (2024-10-02), Defect characterization from magnetic field leakage signals in petroleum and natural gas pipelines, STUDIES IN ENGINEERING AND EXACT SCIENCES, Vol:5, Issue:2, pages:e8590, STUDIES PUBLICACOES

    See publication
  • 2024-06-28
  • 2024-06-28

    Static eddy current imaging for nondestructive testing of aeronautical structures

    Non-destructive testing (NDT) plays a crucial role in ensuring the safety and reliability of the structures used in aeronautics as it enables the detection of defects without damaging the parts examined. In the field of aeronautics, it is necessary to ensure the structural integrity of aircraft components. Vaulted head bolts are the most commonly used in this area to assemble multi-layered structures due to their strength and ability to maintain the structural integrity of aircraft. Examining these assembly areas can be challenging and present unique hurdles for non-destructive testing due to the shape and structure of the rivet, particularly its curved surface. This curvature can result in varying lift-off distances during surface scanning and alterations in the path of swirling currents near the rivet. Consequently, the response of vortex currents may vary, complicating the precise interpretation of test outcomes. In recent years, researchers have concentrated on devising advanced techniques for vortex testing to identify defects in complex structures, particularly those found in the aerospace industry. In this study, we have devised a model employing the finite element method (FEM) using COMSOL Multiphysics for non-destructive testing via 3D imaging utilizing a grid of multi-element vortex sensors distributed across multiple layers around the rivet, without necessitating the displacement of this grid. Our investigation, which involved analyzing various changes in lift-off distances for the sensor, demonstrated the accuracy of defect detection near the rivet, irrespective of the length and width of the defect. We propose a promising solution to tackle both the rivet's shape and the issue of probe displacement during testing. The sensors' non-displacement eliminates parasitic signals, preventing errors in signal interpretation, while multiplexed powering eliminates mutual inductance between adjacent coils.

    Citation

    Merwane khebal , Abdelhak ABDOU , tarik Bouchala , Abderrahmane aboura , Kamel belkhiri , , (2024-06-28), Static eddy current imaging for nondestructive testing of aeronautical structures, STUDIES IN ENGINEERING AND EXACT SCIENCES, Vol:5, Issue:1, pages:3484–3501, STUDIES PUBLICACOES

    See publication
  • 2022-10-23
  • 2022-10-23

    DÉTECTION ET ÉVALUATION DES DÉFAUTS PAR LA TECHNIQUE DE FUITE DE FLUX MAGNÉTIQUE

    La détection des fuites de flux magnétique est l'une des méthodes les plus utilisées pour l’inspection des pipelines et des réservoirs de stockage en matériaux ferromagnétiques. C'est une technique rapide de contrôle non destructif, elle utilise des capteurs magnétiques sensibles pour détecter la fuite du flux magnétique des défauts sur les surfaces internes et externes (les pertes d’épaisseur). Dans cette présentation on va mettre en évidence lors des simulations les différents paramètres influant sur le CND-MFL en appliquant un champ magnétique intense à l’aide d’un aimant permanent montée sur une plaque ferromagnétique en présence d’un capteur de champ à effet HALL inspectant la surface de cette plaque ferromagnétique présentant plusieurs types de défauts. Le modèle ainsi développé sera implémenté sous COMSOL multiphysics, nous considérons un défaut de surface, défaut de sous-surface et nous étudierons l'effet de la variation des caractéristiques géométriques du défaut, à savoir la longueur, la largeur et la profondeur sur l'induction magnétique lors du déplacement linéaire.

    Citation

    Merwane khebal , Kamel belkhiri , Abdelhak ABDOU , tarik Bouchala , ,(2022-10-23), DÉTECTION ET ÉVALUATION DES DÉFAUTS PAR LA TECHNIQUE DE FUITE DE FLUX MAGNÉTIQUE,2ème Séminaire Internationale de Génie Industriel et de Mathématiques Appliquées (SIGIMA'22),SKIKDA, ALGERIA

    See publication