A5041746534- Dental Implant Techniques and Outcomes
- Dental materials and restorations
- Bone Tissue Engineering Materials
- Orthopaedic implants and arthroplasty
- Orthodontics and Dentofacial Orthopedics
- Advanced Welding Techniques Analysis
- Aluminum Alloys Composites Properties
- Dental Radiography and Imaging
- Water Systems and Optimization
- Geotechnical Engineering and Underground Structures
- RFID technology advancements
- Metal Forming Simulation Techniques
- Dental Trauma and Treatments
- Temporomandibular Joint Disorders
- Cellular and Composite Structures
- Advanced materials and composites
- Connective tissue disorders research
- Welding Techniques and Residual Stresses
- Fire effects on concrete materials
- Total Knee Arthroplasty Outcomes
- Energy and Environment Impacts
- Material Properties and Failure Mechanisms
- Dental Erosion and Treatment
- Periodontal Regeneration and Treatments
- MXene and MAX Phase Materials
Université Mustapha Stambouli de Mascara
2010-2025
Université Djilali de Sidi Bel Abbès
2010-2025
Anglia Ruskin University
2015-2020
Romanian Research and Development Institute for Gas Turbines
2020
Laboratoire de Mécanique des Sols, Structures et Matériaux
2015
Conventional dense titanium (Ti) implants cause stress shielding, aseptic loosening and implant failure. This study investigates the effects of porous dental (63% 77% porous) with different neck angles (straight, 10° 15°) on healthy osteoporotic bone under loading conditions (axial load buccolingual load). Simulation results showed that in cortical bone, von Mises stresses are greater case Ti A (straight) as compared to B C (10°, 15° angled neck). Overall, strains higher than bone.
In order to reduce the loosening of dental implants, surface modification with hydroxyapatite (HA) coating has shown promising results. Therefore, in this present study, sol-gel technique been employed form a tantalum and strontium ion-doped hybrid HA layer onto titanium (Ti)-alloy substrate. was completed by using 3% pent oxide (Ta2O5), (Sr), combination 1.5% Ta2O5 Sr as additives, along gel spin technique. These additives played prominent role producing porous structure further cell...
Ever since the introduction of topology optimization into industrial and manufacturing fields, it has been a top priority to maximize performance any system by optimizing its geometrical parameters save material while keeping functionality unaltered. The purpose this study is design dental implant macro-geometry removing expendable using evaluate biomechanical function. Three-dimensional finite element models were created an embedded in cortical cancellous bone. Parameters like length...
Marginal bone loss (MBL) remains a controversial issue and major complication in the field of oral health. The goal this study was to evaluate biomechanical effect implant length, MBL levels, load magnitude under axial buccolingual loading on stress at bone-implant interface. Four case models (without loss, 0.5 mm 1 1.5 loss) two implants with different lengths (Type A 12 Type B 15 mm) were created using SOLIDWORKS. In first part, an 100 N 50 applied separately occlusal face crown. second...
This paper investigates the impact of fatigue overload on effectiveness adhesively bonded composite repair for aeronautical aluminum alloys (2024 T3 and 7075 T6). The focus is understanding how overload-induced plasticity influences efficiency these repairs. study divided into two parts: an experimental phase a numerical phase. analysis involves tests single edge notched tension (SENT) specimens made from both alloys, with cracks repaired by carbon/epoxy cracked plate. Fatigue life curves...
This study investigates the biomechanical performance of various dental materials when filled in different cavity designs and their effects on surrounding tissues. Finite element models three infected teeth with designs, Class I (occlusal), II mesial-occlusal (MO), mesio-occluso-distal (MOD) were constructed. These cavities amalgam, composites (Young's moduli 10, 14, 18, 22, 26 GPa), glass carbomer cement (GCC). An occlusal load 600 N was distributed top surface to carry out simulations. The...
Cracks in pipes used for water transfer have been identified as a significant contributor to loss and potential failures. To assess fracture behavior, the J-integral was computed 3D finite element HDPE (DN 355) with axial internal external cracks (with a/ c t ratios of 0.5) subjected range pressure (16–30 bar) crack face load condition. Four ranging from 0.3 0.9 an increment 0.2) were examined crack. Results indicate that under loading, exhibits higher intensity than values greater 8.4 kJ/m...
Introduction This investigation delves into the mechanical behaviour of titanium dental implants, a preferred choice for tooth replacement due to their superior reliability over alternative materials. The phenomenon implant loosening, frequently induced by masticatory activities, underscores significance surface modification or texturing bolster interaction between and bone tissue. research comprehensively examines effects four distinct techniques five varied quality conditions on...
The aim of this finite element study was to analyze effect supporting implants inclination on stress distribution in the bone for a four-unit fixed partial denture. A three-dimensional model mandibular molar section receive constructed. Three implant-supported dentures, with null, moderate and wide tilting, 0°, 15° 30° implant inclinations, respectively, were modeled. mechanical load 10 MPa applied coronal–apical direction bridge framework at regions crowns positions. analysis performed, von...
The aim of this study is to evaluate the effect alveolar bone quality on von Mises stress at bone-implant interface during occlusal loading. Four (3D) finite element models fully osteointegrated 3-mm diameter × 11.5-mm length dental implant indifferent with different cortical thickness are created, using SolidWorks computer aided design software. cortical-spongy ratio modelled includes I) 90%-10%, II) 60%-40%, III) 40%-60%, and IV) 10%-90%. These then exported ABAQUS software analyses run...
This paper reports on the employment of machine learning (ML) techniques, namely support vector (SVM), artificial neural networks (ANN), and random forest (RF), for predicting tensile behavior friction stir processed (FSP) dissimilar aluminium alloys joints (6083-T651 8011-H14). The are fabricated using welding (FSW) process. After that, friction-stir welded subjected to FSP procedure at different combinations process parameters. rotational speed, traverse tilt angle used as input...