KHALIL Zouaoui
زواوي خليل
khalil.zouaoui@univ-msila.dz
0774732514
- Departement of MECHANICAL ENGINEERING
- Faculty of Technology
- Grade PHd
About Me
Science et Technologies
Research Domains
Modélisation numérique d’un matériau bio composite renforcé par des fibres lignocellulosiques cultivées dans la région de M'sila
LocationMsila, Msila
Msila, ALGERIA
Code RFIDE- 1996-11-09 00:00:00
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KHALIL Zouaoui birthday
- 2025-02-10
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2025-02-10
Fe-Al-Ni Nanostructured Alloys: Investigating Nickel’s Influence on BCC Phase Stability and Microstructural Evolution
This study explores the effect of nickel (Ni) concentration on the structural and microstructural properties of nanostructured (Fe₀.₇Al₀.₃)₁₀₀₋ₓNiₓ (x = 0, 5, 10, 15, 20 at.%) powders synthesized via high-energy mechanical alloying. X-ray diffraction (XRD) analysis, combined with the Williamson-Hall method, was used to evaluate lattice parameters, grain size, and microstrain evolution. After 72 hours of milling, all compositions formed a single-phase disordered solid solution with a body-centered cubic (BCC) structure. A systematic decrease in lattice parameter from 2.9085 Å (Ni-free) to 2.8907 Å (x = 20) was observed due to the substitution of larger Fe/Al atoms by smaller Ni atoms. Additionally, microstrain increased from 0.5% (x = 0) to 0.9% (x = 20), indicating greater lattice distortions. While grain size generally decreased to ~20 nm with increasing Ni content, an unexpected rise to 42 nm at x = 15 suggested a complex interplay between fracturing and cold-welding mechanisms during milling.These results highlight Ni’s dual role in grain refinement and microstrain amplification, which are crucial for tailoring mechanical properties in nanostructured alloys. The observed non-monotonic grain size variation at intermediate Ni concentrations provides new insights into processing challenges and optimization strategies. This study enhances the understanding of Fe-Al-Ni ternary systems and offers valuable guidance for developing high-performance materials with improved thermal stability and mechanical resilience.
Citation
KHALIL Zouaoui , ,(2025-02-10), Fe-Al-Ni Nanostructured Alloys: Investigating Nickel’s Influence on BCC Phase Stability and Microstructural Evolution,2nd International Conference on Recent and Innovative Results in Engineering and Technology,Konya, Turkey.
- 2024-10-30
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2024-10-30
Advanced evaluation of mechanical properties of FDM-Printed PLA components: An analytical study
Fused Deposition Modeling (FDM), commonly known as 3D printing, is a widely adopted additive manufacturing (AM) process that enables the production of lightweight components using different infill strategies and percentages. By manipulating key parameters such as temperature, infill density, and print speed, it is possible to produce parts with varying mechanical properties. Polylactic Acid (PLA), a biodegradable and cost-effective material derived from renewable resources, is frequently employed in FDM due to its environmental benefits and ease of use. This study investigates the mechanical behavior of PLA parts produced via FDM, with a particular focus on how extruder temperature, infill density, and weight influence tensile strength. In accordance with ASTM D-638 tensile testing standards, 27 PLA samples were printed using the Anycubic i3 Mega printer and analyzed. The findings indicated that while extruder temperature had a minimal effect on tensile strength, infill density significantly influenced mechanical performance. Weight, did not show any significant effect. Additionally, a predictive model based on the Taguchi L9 method was developed, showing high correlation with the experimental data, particularly for stress and strain.
Citation
KHALIL Zouaoui , ,(2024-10-30), Advanced evaluation of mechanical properties of FDM-Printed PLA components: An analytical study,Civil and Mechanical Engineering Study Days 2024 « JEGCM24 »,M’sila, Algeria
- 2024-10-10
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2024-10-10
Advanced evaluation of mechanical properties of FDM-Printed PLA components: An analytical study
Fused Deposition Modeling (FDM), commonly known as 3D printing, is a widely adopted additive manufacturing (AM) process that enables the production of lightweight components using different infill strategies and percentages. By manipulating key parameters such as temperature, infill density, and print speed, it is possible to produce parts with varying mechanical properties. Polylactic Acid (PLA), a biodegradable and cost-effective material derived from renewable resources, is frequently employed in FDM due to its environmental benefits and ease of use. This study investigates the mechanical behavior of PLA parts produced via FDM, with a particular focus on how extruder temperature, infill density, and weight influence tensile strength. In accordance with ASTM D-638 tensile testing standards, 27 PLA samples were printed using the Anycubic i3 Mega printer and analyzed. The findings indicated that while extruder temperature had a minimal effect on tensile strength, infill density significantly influenced mechanical performance. Weight, did not show any significant effect. Additionally, a predictive model based on the Taguchi L9 method was developed, showing high correlation with the experimental data, particularly for stress and strain.
Citation
KHALIL Zouaoui , ADMIN Admin , ,(2024-10-10), Advanced evaluation of mechanical properties of FDM-Printed PLA components: An analytical study,5th International Conference on Innovative Academic Studies,Konya, Turkey
- 2024-06-04
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2024-06-04
EXAMINING AND DEVELOPING A MEDICALLY RELEVANT COMPONENT THROUGH REVERSE ENGINEERING
This project focuses on the examination and design of a medically relevant component, specifically a dental prosthesis, using the method of reverse engineering. Reverse engineering involves a thorough analysis of an existing piece to understand its functioning and specifications, with the aim of creating an improved or adapted version. In the medical context, this approach is employed to develop a specific component with medical significance. This study explores the steps of this process, emphasizing detailed understanding, design, and implementation of this dental prosthesis, with a particular focus on its utility and importance in the medical field
Citation
KHALIL Zouaoui , , (2024-06-04), EXAMINING AND DEVELOPING A MEDICALLY RELEVANT COMPONENT THROUGH REVERSE ENGINEERING, ACADEMIC JOURNAL OF MANUFACTURING ENGINEERING, Vol:222024, Issue:2, pages:07, Salah Amroune
- 2024-05-08
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2024-05-08
Modeling of tensile strength of polylactic acid via Neural artificial Networks
This research investigated the effect of process parameters on the tensile strength of 3D-printed polylactic acid (PLA) using fused deposition modeling (FDM) for both rapid prototyping and production applications. The influence of extruder temperature, infill density, and sample mass were systematically evaluated. Following ASTM D-638 standards, 27 PLA samples were fabricated on an Anycubic i3 Mega printer and subsequently tested. The results revealed minimal impact of extruder temperature on tensile strength, while infill density exhibited a significant influence. Sample mass, however, showed negligible effect. Furthermore, an artificial neural network (ANN) model was developed for predictive purposes. This model demonstrated a strong correlation (91.03%) with the experimental data across all data points.
Citation
KHALIL Zouaoui , ,(2024-05-08), Modeling of tensile strength of polylactic acid via Neural artificial Networks,Doctoral day in mechanical engineering"“Green Hydrogen & Materials” Doctoral Day-GHMDD’24",M’sila, Algeria
- 2024-04-23
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2024-04-23
Analyzing the Impact of 3D Printing Parameters on Tensile Strength through Artificial Neural Network Modeling
This study concentrated on utilizing fused deposition modeling for both rapid prototyping and manufacturing, specifically examining the influence of extruder temperature, infill density, and mass on the tensile strength of polylactic acid (PLA) samples. Following ASTM D-638 tensile standards, 27 samples were 3D printed and evaluated using an Anycubic i3 Mega printer. Findings indicated a minimal impact of extruder temperature on tensile strength, a significant influence of infill density, and a negligible effect of mass. Additionally, an artificial neural network (ANN) predictive model was developed. The findings demonstrated a robust correlation (91.03%) with experimental data for all data points utilizing the ANN method.
Citation
KHALIL Zouaoui , SALAH Amroune , Mohamed Said Chebbah, ,(2024-04-23), Analyzing the Impact of 3D Printing Parameters on Tensile Strength through Artificial Neural Network Modeling,3 rd International Workshop on Structural Mechanics and Materials -IWSMM24,university of Batna , Algeria.
- 2023-12-10
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2023-12-10
Optimization of Heat-treatment Parameters with Taguchi Method for API X52 Pipe steel
This paper has described the use of Taguchi method and statistical techniques ANOVA and S/N ratio for analyzing and optimizing the ultimate tensile strength and the hardness by the heat treatments of low carbon X52 pipe steel specimens. From the study, the following conclusions are drawn From the ANOVA % contribution ratio plots reveal that the holding time is the factor which has considerable influence on ultimate tensile strength. The optimum heat treatment for the low carbon X52 pipe steel that gives higher ultimate tensile strength which improves its resistance against sulphide stress cracking (SSC is the normalization treatment at 950°C for 40 mns water quenched. The normalization temperature is the most significant parameter for the yield strength and the hardness. The optimal conditions to maximize the harness were obtained by the normalization treatment at 870°C with holding time of 20 mns with water quenched. The power of the present optimization procedure by using Taguchi method was confirmed by the confirmation test.
Citation
KHALIL Zouaoui , ,(2023-12-10), Optimization of Heat-treatment Parameters with Taguchi Method for API X52 Pipe steel,Second arab conference on mechnics and engineering,university of biskra , Algeria.