M. ARSLANE Mustapha

MCB

Directory of teachers

Department

Departement of MECHANICAL ENGINEERING

Research Interests

Specialized in Departement of MECHANICAL ENGINEERING. Focused on academic and scientific development.

Contact Info

University of M'Sila, Algeria

Email : mustapha.arslane@univ-msila.dz

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Recent Publications

2025-12-11

A metrological framework for fixture-induced uncertainty quantification in dimensional inspection using bootstrap-validated genetic algorithm optimization

Precision machining of turbine blade cooling channels presents significant challenges in aerospace manufacturing, where micron-level accuracy directly impacts engine performance. This research develops an intelligent fixture optimization system integrating genetic algorithms (GA) with Plücker coordinate mathematics to achieve optimal locator configurations. The methodology maximizes the determinant of the Plückerian location matrix, establishing a stability-optimized reference frame at the blade root while maintaining compatibility with industrial machining processes.
Experimental validation on complex turbine airfoil geometries demonstrates a 32 % improvement in positional accuracy (reducing errors from 0.25 mm to 0.17 mm) compared to conventional fixturing methods, verified through coordinate measuring machine (CMM) inspection and destructive cross-section analysis. The optimized design addresses critical production requirements including: (1) enhanced operator visibility for contact verification, (2) improved gauge shim compatibility, and (3) maintained thermal stability during electrochemical drilling operations.
This work provides manufacturers with a computationally efficient framework that significantly reduces fixture development time while achieving aerospace-grade precision. The demonstrated success on turbine blade geometries suggests immediate applicability for aeroengine components and adaptability to other complex machining applications in the energy sector.
Citation

M. ARSLANE Mustapha, (2025-12-11), "A metrological framework for fixture-induced uncertainty quantification in dimensional inspection using bootstrap-validated genetic algorithm optimization", [national] Measurement , ELSEVIER

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2025-07-15

Evaluation of thrust force, delamination and hole quality during drilling an alfa-jute/epoxy natural fiber hybrid composite

Drilling composite materials is a critical stage in assembly, especially for structures that rely on mechanical fasteners. This research investigates the drilling of a hybrid composite made of an epoxy matrix reinforced with natural jute and Alfa fibers, focusing on three key cutting parameters: feed rate, spindle speed, and drill point angle. The study aims to assess how these factors affect thrust force, delamination, and the quality of the hole’s exit. Findings indicate that using a low feed rate, moderate spindle speed, and a smaller drill point angle helps reduce delamination and enhances hole surface finish. On the other hand, higher feed rates increase thrust force, raising the likelihood of damage and defects. The optimal conditions for minimizing thrust force and delamination while maintaining good hole quality involve a drill with a 110° point angle, a spindle speed of 1000 rpm, and low feed rates. Under these settings, thrust force remains low—ranging from 32.38 N at 50 mm/min to 26.07 N at 150 mm/min—while the delamination factor stays minimal, peaking at 1.052 even at higher feed rates. These findings emphasize the significance of carefully choosing cutting parameters to maintain composite integrity and enhance drilling efficiency. The study highlights the need to balance productivity with precision, optimizing cutting conditions to reduce damage and ensure the structural reliability of hybrid composites.
Citation

M. ARSLANE Mustapha, Köklü Ugur, Louhichi Borhan, , (2025-07-15), "Evaluation of thrust force, delamination and hole quality during drilling an alfa-jute/epoxy natural fiber hybrid composite", [national] Journal of Composite Materials , Sage

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2025-07-03

Advanced Optimization of Drilling Parameters in Composite Materials: A TOPSIS-Based Approach for Enhanced Manufacturing Precision

Optimizing drilling parameters for composite materials is challenging due to their anisotropic and heterogeneous properties, which often cause defects like delamination and poor surface finish. This study employs the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to optimize drilling parameters, balancing cutting force, temperature, surface roughness, and delamination. Experimental data from 48 drilling trials, using three drill types (solid carbide, HSS, and composite-specific) with varied spindle speeds and feed rates, were analyzed. TOPSIS ranked parameter combinations, identifying Drill 2 (solid carbide) at 1000 rpm and 50 mm/min as optimal, achieving minimal delamination and superior surface finish.
This approach enhances manufacturing precision, reduces material waste, and promotes sustainable machining. The findings offer practical insights for industries like aerospace and automotive, improving product quality and process efficiency.
Keywords: TOPSIS, Composite Drilling Optimization, Sustainable Machining, Multi-Criteria Decision-Making, Process Efficiency
Citation

M. ARSLANE Mustapha, (2025-07-03), "Advanced Optimization of Drilling Parameters in Composite Materials: A TOPSIS-Based Approach for Enhanced Manufacturing Precision", [national] Journal of Natural Fibers , Taylor & Francis

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2025-06-23

Optimized fixture design for precision machining of tensile specimens in hybrid composites

Although CNC machines offer numerous advantages, machining hybrid composites presents unique challenges, particularly in the proper positioning and securing of tensile specimens during the process. These materials, often comprising layers of different types, can behave unpredictably under cutting forces, complicating the task of achieving precise, standard-compliant shapes. This study introduces a specialized machining fixture developed to securely hold and manipulate tensile specimens for composite testing, meeting the stringent requirements of academic research where dimensional precision is paramount. The fixture's design features robust clamping mechanisms that stabilize various specimen geometries, ensuring minimal distortion and precise alignment during CNC machining. The fabrication process included careful material selection and the application of advanced machining techniques to achieve exceptional dimensional accuracy. Performance evaluation through machining trials assessed factors such as clamping force, stability, and usability. Results demonstrate that the proposed fixture significantly enhances machining efficiency and accuracy, thereby improving the reliability of composite material testing.
Keywords: CNC precision machining; tensile specimen preparation; hybrid composite materials; International standards (ISO, ASTM).
Citation

M. ARSLANE Mustapha, (2025-06-23), "Optimized fixture design for precision machining of tensile specimens in hybrid composites", [national] Journal of materials and manufacturing , Zenodo

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2025-04-26

Quality Evaluation and Predictive Analysis of Drilled Holes in Jute/Palm/Polyester Hybrid Bio-Composites Using CMM and ANN Techniques

In this study, the evaluation of 75 holes drilled in a hybrid bio-composite jute/palm/polyester plate and controlled by a coordinate measuring machine (CMM) is essential to ensure the quality, dimensional precision, and geometric conformity of the plate. This rigorous process is necessary to meet industrial standards for circularity and cylindricity, which are essential criteria for high-performance applications. Additionally, the integration of artificial neural network (ANN) techniques has revolutionized this approach by enabling precise predictions of key parameters such as delamination, circularity, and cylindricity. In this study, the ANN was trained with 52 samples (70%), while 8 samples (10%) were used for validation and 15 others (20%) for testing at different stages. The results show the influence of feed rate on the delamination factor (Fd) (R2 = 0.98), circularity error (R2 = 0.99), and cylindricity error (R2 = 0.98). This predictive approach significantly improves the reliability and efficiency of the evaluation process
Citation

M. ARSLANE Mustapha, Ahmed Belaadi, , (2025-04-26), "Quality Evaluation and Predictive Analysis of Drilled Holes in Jute/Palm/Polyester Hybrid Bio-Composites Using CMM and ANN Techniques", [national] Journal of Natural Fibers , Taylor & Francis

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2025-04-10

Advancements and optimization in fixture layouts and machining processes: a comprehensive review in the context of Industry 4.0

This review paper explores the latest advancements and optimization strategies in fixture layout design and machining processes, particularly within the framework of Industry 4.0. It begins with a detailed analysis of fixture layout design and its impact on machining precision and efficiency. The paper reviews various optimization methods for fixture layouts, including traditional approaches and emerging techniques enabled by advanced technologies. It further examines the evolution of machining processes and the integration of automation and robotics in modern manufacturing environments. The review highlights the significance of intelligent fixtures and robot-based systems in enhancing flexibility, precision, and overall performance. By synthesizing current research and practical applications, this paper provides insights into future trends and developments in fixture and machining process optimization.
Keywords Fixture layout optimization · Industry 4.0 · Robot-based fixtures · Machining process efficiency · Intelligent manufacturing systems
Citation

M. ARSLANE Mustapha, Borhen Louhichi, , (2025-04-10), "Advancements and optimization in fixture layouts and machining processes: a comprehensive review in the context of Industry 4.0", [national] The International Journal of Advanced Manufacturing Technology , Springer

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2025-02-17

Optimisation des Tolérances Géométriques des Formes Complexes par Rétro Conception Basée sur l'Émission Laser

L’ingénierie inverse est essentielle pour analyser et valider les tolérances géométriques des formes complexes. Cette étude met en œuvre un processus de rétro-conception avec Geomagic Design X, un logiciel spécialisé dans la conversion de scans 3D en modèles numériques précis via la technologie laser. Une pièce complexe a été scannée en 3D, générant un modèle maillé, ensuite converti en modèle solide pour une fabrication de haute précision. Les écarts entre le maillage, le modèle solide et les tolérances spécifiées ont été rigoureusement analysés. Les résultats montrent que l’intégration de la modélisation de surface et de la conception solide, grâce aux outils d’ingénierie inverse, optimise la gestion des tolérances des formes complexes, assurant une précision accrue. Cette approche démontre l’efficacité de la rétro-conception pour répondre aux exigences de fabrication modernes.
Mots clés : L'ingénierie inverse, tolérances géométriques, rétro-conception, scan 3D, l'émission du laser, formes complexes.
Citation

M. ARSLANE Mustapha, Hacene Ameddah, , (2025-02-17), "Optimisation des Tolérances Géométriques des Formes Complexes par Rétro Conception Basée sur l'Émission Laser", [national] 2nd National seminar of Physics, Chemistry and their Applications NSPCA'25 , University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj - Algeria

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Bootstrap analysis for predicting circularity and cylindricity errors in palm/jute fiber reinforced hybrid composites

Hybrid composites reinforced with palm and jute fibers are increasingly valued in modern manufacturing due to their exceptional strength-to-weight ratio and eco-friendly properties. This study examines the drilling process of these hybrid composites, with a focus on circularity and cylindricity errors as key indicators of hole quality. The composite material was composed of 15 % palm fibers and 15 % jute fibers by weight. A distinguishing feature of this research is the innovative use of bootstrap analysis to quantify uncertainty in predicting circularity and cylindricity errors. The investigation explored the effects of spindle speed and feed rate on machining outcomes, uncovering intricate interdependencies between these parameters. Results show that lower spindle speeds yield more precise and consistent hole quality, while higher speeds increase variability. Two regression models were developed to predict circularity and cylindricity errors, demonstrating strong predictive accuracy with R-squared values of 0.91 and 0.95, respectively. The application of bootstrap analysis further validated the robustness of these models by providing detailed uncertainty estimates across a range of cutting conditions. Machining conditions associated with minimal errors were determined at a spindle speed of 1592 rpm and a feed rate ranging from 0.08 mm/rev to 0.12 mm/rev, yielding circularity errors as low as 44 µm and cylindricity errors of 59 µm.
Citation

M. ARSLANE Mustapha, elhadi.abdelmalek@univ-msila.dz, , (2025-02-17), "Bootstrap analysis for predicting circularity and cylindricity errors in palm/jute fiber reinforced hybrid composites", [national] Measurement , ELSEVIER

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2025-01-20

Analysis of Entry and Exit Hole Delaminations during Drilling of Jute/Palm Fiber Reinforced Hybrid Composites Using HSS Drill Bits

The purpose of this study is to explore drilling defects in hybrid jute/palm fiber composites and propose practical solutions for enhancing machining outcomes. This work is novel in its detailed analysis of delamination, fiber pull-out, and surface fluffing using HSS drills. The results reveal significant differences in delamination factors between the entrance (jute fibers) and exit (palm fibers) under varying machining conditions. Quantitative analysis reveals that optimal conditions for minimizing delamination occur at a spindle speed of 2388 rpm and feed rate of 0.04 mm/rev, achieving delamination factors of 1.121 (entrance) and 1.069 (exit). These findings emphasize the critical role of machining parameters in controlling drilling defects and improving the integrity of hybrid composite materials. Using Response Surface Methodology, predictive models identified feed rate as the dominant factor. Optimizing resin application improved structural integrity and reduced defects, offering experimental evidence for industrial applications in sustainable hybrid composite manufacturing.
Keywords: Hybrid composites, drilling defects, delamination, entrance defects, exit defects,, Response Surface Methodology (RSM)
Citation

M. ARSLANE Mustapha, (2025-01-20), "Analysis of Entry and Exit Hole Delaminations during Drilling of Jute/Palm Fiber Reinforced Hybrid Composites Using HSS Drill Bits", [national] Journal of Natural Fibers , Taylor & Francis

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2025-01-07

Optimization of Manufacturing Parameters for Minimizing Vibrations and Surface Roughness in Milling Using Box–Behnken Design

Background The machining process of AISI 1040 steel involves complex interactions among cutting parameters, which
significantly impact surface roughness (Ra) and vibration accelerations (Ax and Ay). Understanding and optimizing these
factors are critical for enhancing manufacturing efficiency, tool life, and product quality.
Purpose This study aims to develop mathematical models for combined optimization of vibration accelerations (Ax, Ay)
and surface roughness (Ra) in the milling of AISI 1040 steel using GC1030 coated carbide tools, thereby providing practical
guidance for industrial applications.
Methods The experimental design was based on a Box–Behnken design integrated with Surface Response Methodology
(SRM) and Analysis of Variance (ANOVA). The effects of manufacturing speed (Vc), tooth advancement (fz), and pass
height (ap) were modeled through unifactorial and multifactorial approaches to identify optimal machining conditions.
Results Cutting speed (Vc) was identified as the most influential factor affecting vibrations and surface roughness. The
optimal machining parameters were determined as Vc = 91.153 m/min, fz = 0.040 mm/tooth, and ap = 0.50 mm, resulting
in minimal vibration accelerations and improved surface quality. The developed mathematical models demonstrated high
predictive accuracy and industrial applicability.
Conclusion The proposed models provide a robust framework for optimizing milling processes, enabling engineers and
production managers to achieve improved efficiency, extended tool life, and superior part quality. These findings underscore
the models' value in enhancing decision-making in the manufacturing sector.
Keywords Face milling · Box–Behnken · Vibrations · Surface roughness · ANOVA · RSM
Citation

M. ARSLANE Mustapha, Mohamed Fnides, , (2025-01-07), "Optimization of Manufacturing Parameters for Minimizing Vibrations and Surface Roughness in Milling Using Box–Behnken Design", [national] Journal of Vibration Engineering & Technologies , Springer

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2024-12-26

Optimization of Drilling Parameters in Natural Fibers Composite Plates Based on Grey Relational Analysis

This study focuses on optimizing drilling parameters to minimize delamination, circularity error, and cylindricity in natural fiber composites through a comprehensive full factorial Design of Experiments (DoE) combined with Grey Relational Analysis (GRA). The novelty of this work lies in its systematic integration of these methods to evaluate the effects of spindle speed, feed rate, and drill type (HSS, HSS-Co, and Solid Carbide) on hole quality, providing a robust framework for multi-response optimization. Results reveal that feed rate is the most significant factor, with optimal conditions—lower feed rates (0.04 mm/rev) and moderate speeds (1592 rpm)—delivering reduced delamination and improved hole quality. Among the tested drills, Solid Carbide demonstrated superior performance with the lowest delamination and cylindricity errors. This study highlights the potential of systematic parameter optimization to advance eco-friendly composite manufacturing and enhance drilling precision.

Keywords: Natural Fiber Composites; Jute/Palm Fiber Reinforcement; Drilling Optimization; Delamination; Hole Quality; Grey Relational Analysis (GRA).
Citation

M. ARSLANE Mustapha, (2024-12-26), "Optimization of Drilling Parameters in Natural Fibers Composite Plates Based on Grey Relational Analysis", [national] Journal of Natural Fibers WJNF , Taylor & Francis

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2024-12-13

Optimization of Drilling Performance in Natural Fiber Composites Using Taguchi and Desirability Function Methods

Drilling natural fiber-reinforced composites presents unique challenges due to their heterogeneous structure, leading to issues such as delamination, poor hole quality, and material damage. This study focuses on optimiz-ing drilling parameters_ spindle speed, feed rate, and drill type_ to improve key metrics like delamination, cir-cularity, and cylindricity in hybrid jute/palm fiber-polyester composites. Employing the Taguchi method and Desirability Function Analysis (DFA), the investigation utilizes a 25-run orthogonal array to identify the opti-mal settings for each drill type. Analysis of variance (ANOVA) highlights feed rate as the dominant factor affect-ing hole quality, with spindle speed playing a secondary role. The optimized parameters significantly enhance drilling performance, particularly with solid carbide drills, which outperform others in maintaining precision and minimizing defects. This comprehensive multi-response optimization offers a pathway to improving the machining of natural composites for various industrial applications.
Keywords: Drilling optimization, Natural fiber composites, Taguchi method, Desirability function analysis, Delamination, Hole quality.
Citation

M. ARSLANE Mustapha, (2024-12-13), "Optimization of Drilling Performance in Natural Fiber Composites Using Taguchi and Desirability Function Methods", [international] the International Conference on Multidisciplinary Sciences and Technological Developments (ICMUSTED 2024) , Turkey

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Efficient Drilling Path Optimization in CNC Machining Using Genetic Algorithms and TSP Methodology

Optimizing drilling paths in CNC machining is critical to reducing production time and improving operational efficiency. This research integrates the Traveling Salesman Problem (TSP) framework with a Genetic Algorithm (GA) to minimize both the travel distance and machining time in drilling operations. By considering the vary-ing machining times at different drilling points and the distances between them, this study presents an approach that identifies near-optimal drilling sequences. The proposed solution led to a 20% reduction in total machin-ing time, demonstrating the effectiveness of advanced computational techniques in complex manufacturing environments. These findings contribute to ongoing improvements in manufacturing efficiency and precision.
Keywords: CNC Machining, Drilling Path Optimization, Genetic Algorithm (GA), Traveling Salesman Problem (TSP), Machining Time Reduction, Manufacturing Efficiency
Citation

M. ARSLANE Mustapha, (2024-12-13), "Efficient Drilling Path Optimization in CNC Machining Using Genetic Algorithms and TSP Methodology", [international] the International Conference on Multidisciplinary Sciences and Technological Developments (ICMUSTED 2024) , Turkey

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2024-11-28

Multi-response optimization of drilling parameters in hybrid natural fiber composites using Taguchi and desirability function analysis (DFA)

In the manufacturing of composite materials, achieving high precision in drilling processes is crucial to ensure product quality and performance. This study investigates the influence of drilling parameters on key performance metrics delamination, circularity, and cylindricity using the Taguchi method. An L25 orthogonal array was employed to systematically explore the effects of spindle speed, feed, and drill type on the quality of drilled holes. The analysis of variance (ANOVA) revealed that feed significantly influences the outcomes across all drill materials, with cutting speed playing a secondary role. The study further applied desirability function analysis (DFA) to optimize these multi-responses, identifying the optimal parameter settings for each drill type. The results highlight the critical role of feed in minimizing delamination, circularity, and cylindricity with the optimal settings offering significant improvements in drilling performance.
Citation

M. ARSLANE Mustapha, (2024-11-28), "Multi-response optimization of drilling parameters in hybrid natural fiber composites using Taguchi and desirability function analysis (DFA)", [national] International Journal of Advanced Manufacturing Technology , Springer

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2024-10-10

Modeling Surface Roughness of Epoxy/Alfa Fiber Biocomposites with a Neural Network Architecture Optimized by Genetic Algorithms

Abstract – The industry is currently experiencing a significant interest in biocomposites, largely fueled by
the growing appeal of natural fiber-reinforced composites (NFRCs). These composites provide a range of
advantages, including cost-effectiveness, biodegradability, environmental sustainability, and favorable
mechanical properties. Consequently, the manufacturing processes of natural fiber reinforced polymer
(NFRP) composites have attracted the attention of both industry professionals and researchers. The rise of
these eco-friendly materials in the automotive and aerospace sectors has intensified interest in their
production methods. However, the machining of NFRP composites presents considerable challenges due
to the intricate structure of natural fibers, necessitating in-depth studies to effectively tackle these issues.
This research paper offers a detailed examination of surface roughness during the milling process of
Alfa/epoxy biocomposites. A total of 100 experimental trials were conducted to assess surface roughness.
To develop a predictive model for this metric, a hybrid approach known as ANN-GA (artificial neural
networks-genetic algorithms) is proposed. This method integrates ANN and GA to establish an optimal
neural network architecture. The performance of the ANN-GA model is evaluated against the Levenberg–
Marquardt backpropagation (LM) algorithm, with results indicating that the ANN-GA model provides
superior accuracy in predicting surface roughness compared to the LM algorithm
Keywords – Biocomposite, Alfa fibers, Surface roughness, Optimization, ANN. GA
Citation

M. ARSLANE Mustapha, (2024-10-10), "Modeling Surface Roughness of Epoxy/Alfa Fiber Biocomposites with a Neural Network Architecture Optimized by Genetic Algorithms", [international] 5th International Conference on Innovative Academic Studies , Konya, Turkey

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2024-09-11

Milling Behavior of Untreated and NaOH-Treated Alpha Fiber Composites: Effects of Fiber Orientation

Abstract
This study presents a detailed analysis of the milling behavior of untreated and NaOHtreated composite samples at different fiber orientations (0° and 90°) using up milling and
down milling techniques. A cubic regression model was employed to analyze the
experimental data, demonstrating a good fit with high correlation coefficients of 0.90 and
0.91 for up milling at 0° and down milling at 90°, respectively, in untreated samples. This
strong performance was also observed in NaOH-treated samples. Although other
machining modes and orientations showed slightly lower correlation coefficients, the
models remained statistically valid, as confirmed by the Fisher statistic exceeding the
theoretical threshold at a 5% significance level. The results indicate that feed rate is the
dominant factor, exerting a significant influence on normal and axial cutting forces,
whereas the effect of cutting speed appears nearly negligible. Conversely, cutting speed
has a more pronounced effect on feed force than feed rate, with the interaction between
cutting speed and feed rate showing the highest statistical significance.
Keywords: Milling, NaOH treatment, Alpha fibers, composites, fiber orientation
Citation

M. ARSLANE Mustapha, (2024-09-11), "Milling Behavior of Untreated and NaOH-Treated Alpha Fiber Composites: Effects of Fiber Orientation", [international] 3rd International Conference on Scientific and Innovative Studies , Konya, Turkey

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A Comprehensive Method for Tolerance Analysis in Complex Mechanical Assemblies Using the Unified Jacobian–Torsor Model and Simulation-Based Uncertainty Quantification

In modern engineering, achieving precise tolerance levels in complex assemblies is vital for ensuring both product quality and functionality. This study presents a comprehensive framework for tolerance analysis that integrates the unified Jacobian–Torsor model with a simulation-based approach for quantifying uncertainty. The unified Jacobian–Torsor model is effective in representing and propagating geometric variations, while the simulation method strengthens the analysis by estimating variability within specified tolerances. Through a detailed case study, the framework is shown to automatically generate tolerance specifications while considering functional interactions and manufacturing constraints. The results validate the accuracy and reliability of this approach, making it a powerful tool for precision engineering in the design and assembly of intricate mechanical systems.

Keywords – Tolerance Analysis; Jacobian–Torsor Model; Geometric Variations; Uncertainty Quantification; Precision Engineering.
Citation

M. ARSLANE Mustapha, (2024-09-11), "A Comprehensive Method for Tolerance Analysis in Complex Mechanical Assemblies Using the Unified Jacobian–Torsor Model and Simulation-Based Uncertainty Quantification", [international] 3rd International Conference on Scientific and Innovative Studies , Konya, Turkey

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Innovative Fixture for Precise Machining of Turbine Blades: Design and SDT Validation

This study introduces a novel fixture designed to meet the challenges of machining complex geometry parts, specifically gas turbine blades with irregular surface curvatures. The fixture's design leverages the Plückerian matrix approach to strategically place locators, ensuring the workpiece is held in a stable and repeatable position throughout the machining process. This method addresses the critical requirement for high accuracy in the machining of turbine blades, which directly impacts the performance of gas turbines. The fixture was fabricated and tested using the small displacement torsor (SDT) concept to assess its effectiveness in maintaining the precise location of the workpiece under operational conditions. The evaluation revealed that the fixture provides superior localization repeatability, reducing the risk of deviations and enhancing the overall quality of the finished parts. The successful implementation of this fixture design offers a significant contribution to the field of high-precision machining, with potential applications in sectors where the production of complex-shaped components is essential.

Keywords – Fixture Design; Plücker Matrix; Precision Machining; Turbine Blades; Small Displacement Torsor (SDT)
Citation

M. ARSLANE Mustapha, (2024-09-11), "Innovative Fixture for Precise Machining of Turbine Blades: Design and SDT Validation", [international] 3rd International Conference on Scientific and Innovative Studies , Konya, Turkey

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2024-08-26

Investigating the impact of drill material on hole quality in jute/palm fiber reinforced hybrid composite drilling with uncertainty analysis

This study presents a method for modelling, predicting, and evaluating the impact of drill materials on the drilling process of hybrid palm/jute polyester composites, with the aim of enhancing hole quality regarding delamination, circularity, and cylindricity. Three drill materials, including High-Speed Steel (HSS), 5 % Cobalt-coated High-Speed Steel (HSS-Co5), and Solid Carbide drills were tested, and their impacts on drilling performance were assessed. Through thorough experimentation and statistical analysis, significant differences in results were observed between HSS drills and both HSS-Co5 and Solid Carbide drills. However, the variation in results between HSS-Co5 and Solid Carbide drill results was minimal. Additionally, the findings highlight notable disparities among drill types concerning uncertainty. The results also indicate that feed rate, drill material, and their interaction play crucial roles in determining drilling efficiency. Specifically, HSS drills consistently outperformed HSS-Co5 and Solid carbide drills, demonstrating superior performance in minimizing delamination, improving circularity, and enhancing cylindricity along with lower uncertainty.
Citation

M. ARSLANE Mustapha, (2024-08-26), "Investigating the impact of drill material on hole quality in jute/palm fiber reinforced hybrid composite drilling with uncertainty analysis", [national] Heliyon , ELSEVIER

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2024-08-15

Precision drilling optimization in jute/palm fiber reinforced hybrid composites

This paper rigorously examines drilling operations in a jute/palm fiber reinforced polyester composite (15 % palm fibers, 15 % jute fibers, 70 % polyester resin, 9 mm thickness), emphasizing factors affecting hole quality. The hole quality was characterized by assessing circularity, cylindricity, and delamination. The key findings include the identification of optimal cutting conditions, where a feed rate of 0.08 mm/rev and a spindle speed of 1592 rpm maximize circularity and cylindricity. Furthermore, a lower feed rate (0.04 mm/rev) to be optimal for minimizing delamination, circularity and cylindricity, underscoring the significance of precise adjustments. The influence of drill types is highlighted, with the High-Speed Steel twist drill emerging as the superior choice, demonstrating enhanced performance. The study also reveals the sensitivity of delamination to feed rate variations, emphasizing its primary role in material damage. Cyclical trends in circularity and cylindricity are observed, with feed rate standing out as the predominant factor affecting precision.
Citation

M. ARSLANE Mustapha, (2024-08-15), "Precision drilling optimization in jute/palm fiber reinforced hybrid composites", [national] Measurement , ELSEVIER

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2024-08-01

An advanced framework for tolerance analysis of cam‑clamping devices integrating unified Jacobian–Torsor model, Monte Carlo simulation, and bootstrap technique

Uncertainty analysis is essential for estimating variability within specified tolerances, particularly in three-dimensional (3D) assembly tolerance analysis. This study introduces a novel analytical approach for assessing assembly deviations, integrating the Jacobian–Torsor model with the bootstrap technique. The Jacobian–Torsor model combines the efficiency of representing tolerances with the adaptability of the Jacobian matrix for their propagation. This computerized method, based on the unified Jacobian–Torsor approach, focuses on cam-clamping devices, specifically the fastening flange component. The novelty of this study lies in the application of the bootstrap technique, a Monte Carlo Simulation approach, for uncertainty analysis to estimate variability within specified tolerances. A comprehensive comparison of statistical methods—bootstrap, stratified sampling, Bayesian statistics, and analytical methods—demonstrates the advantages of the Bootstrap approach. The results emphasize its user-friendliness and precision, even with complex shapes. The primary aim is to highlight the utility of the unified Jacobian–Torsor method for tolerance analysis. An experiment involving the fastening flange assembly illustrates the practical application of this approach. The findings confirm the effectiveness of the proposed method, demonstrating its accuracy and reliability for cam-clamping devices in real-world assembly scenarios with intricate geometries.
Citation

M. ARSLANE Mustapha, (2024-08-01), "An advanced framework for tolerance analysis of cam‑clamping devices integrating unified Jacobian–Torsor model, Monte Carlo simulation, and bootstrap technique", [national] The International Journal of Advanced Manufacturing Technology , Springer

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2024-01-05

Assessment and analysis of drilling‑induced damage in jute/palm datefiber‑reinforced polyester hybrid composite

This study investigates drilling-induced damage in hybrid composites, specifically examining the interplay between cuttingparameters and hole delamination. Three drill types—high-speed steel (HSS), 5% cobalt-coated high-speed steel (HSS-Co5),and solid carbide—are analyzed for their distinct impacts. The research underscores the substantial influence of feed rate androtational speed on delamination, noting that increased feed rates exacerbate the issue. Notably, HSS drills exhibit superiorperformance in mitigating delamination compared to other types. The study unequivocally demonstrates that operating theHSS drill at lower feed rates and rotational speeds significantly minimizes delamination, achieving remarkable results at afeed rate of 0.04 m/rev and 1592.35 rpm. While rotational speed’s consistent significance is limited, with the rotation speed2388.53 rpm, the delamination factor of the HSS drill recorded the smallest values with all the cutting conditions of the testscarried out. These insights emphasize the critical need for optimized cutting parameters when drilling hybrid composites,providing valuable guidance for engineering applications and materials science.
Citation

M. ARSLANE Mustapha, (2024-01-05), "Assessment and analysis of drilling‑induced damage in jute/palm datefiber‑reinforced polyester hybrid composite", [national] Biomass Conversion and Biorefinery , Springer

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2023-12-28

Enhanced investigations and modeling of surface roughness of epoxy/Alfa fiber biocomposites using optimized neural network architecture with genetic algorithms

Currently, there is a notable attraction within the industry towards biocomposites, driven by the increasing fascination with natural fiber-reinforced composites (NFRCs). These NFRCs offer remarkable benefits, including cost-effectiveness, biodegradability, eco-friendliness, and favorable mechanical properties. As a result, the manufacturing processes of natural fiber reinforced polymer (NFRP) composites have garnered attention from both industrial professionals and scientists. The emergence of these eco-friendly materials in the automotive and aerospace industries has sparked interest in understanding their production techniques. However, the machining processes of NFRP composites pose significant challenges due to the complex structure of natural fibers, necessitating thorough studies to address these issues effectively. This research paper presents a comprehensive investigation on surface roughness during the milling process of Alfa/epoxy biocomposites. A set of 100 experimental trials was conducted to test the surface roughness, and analysis of variance (ANOVA) was used to assess the impact of cutting parameters and chemical treatment on surface quality. To develop a predictive model for surface roughness, a hybrid approach called ANN-GA (artificial neural networks-genetic algorithms) is proposed in this research. This approach combines ANN and GA to determine an optimal neural network architecture. The performance of the ANN-GA model is compared to the Levenberg–Marquardt backpropagation (LM) algorithm. ANOVA results show that the feed per revolution have a significant influence on surface roughness, followed by the chemical treatment of fibers, while machining direction has a smaller effect. The ANN-GA model demonstrates good accuracy in surface roughness prediction compared to the LM algorithm.
Citation

M. ARSLANE Mustapha, (2023-12-28), "Enhanced investigations and modeling of surface roughness of epoxy/Alfa fiber biocomposites using optimized neural network architecture with genetic algorithms", [national] The International Journal of Advanced Manufacturing Technology , Springer

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2023-08-16

Investigation of the machining behavior of unidirectional Alfa (Stipa tenacissima L.)/epoxy composite material

Nowadays, with regard to many environmental problems, the development of environmentally friendly materials such as natural fiber composites is a real alternative to synthetic fibers. They have many interesting advantages such as their availability, their low cost, their low density, their biodegradable character, their specific resistance properties and their low impact on the environment. The present paper is aimed at fabricating and machining of an epoxy composite material reinforced with Alfa (Stipa tenacissima L.) fibers. The full factorial analysis was used to assess the effect of cutting parameters such as cutting velocity and feed rate on the arithmetic roughness Ra of machined surfaces obtained by down milling and up milling operations. For this purpose, a two flutes high-speed steel (HSS) cutting tool was used. The results showed that the up milling mode provides better surface roughness than down milling mode for almost all machined specimens. The feed rate is the main factor affecting the surface roughness, with a contribution of about 90%. The worst values of arithmetic roughness were observed, at low feed rate (0.05 mm/rev) regardless of the cutting velocity. The results also showed that machining parallel to fibers direction (0°) offers better surface roughness than machining perpendicular to fibers direction (90°). Microscopic and SEM images show some defects such as matrix cracking, cavity, fibers breakage, loss of matrix, fluffing, and thermal damage.
Citation

M. ARSLANE Mustapha, (2023-08-16), "Investigation of the machining behavior of unidirectional Alfa (Stipa tenacissima L.)/epoxy composite material", [national] The International Journal of Advanced Manufacturing Technology , Springer

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2022-10-26

OPTIMISATION PAR ALGORITHME GENETIQUE (AG) DE SYSTEME D'ISOSTATISME D'UNE AILETTE DE TURBINE A GAZ

Pour les montages d’usinage destiné pour les
pièces de forme complexe, l'optimisation des appuis de
positionnement et les éléments de serrage est la première
étape de conception qui doit être remplit. Cela permet
d'assurer un maintien et un positionnement corrects et de
réduire les erreurs géométriques de la pièce pendant le
processus d'usinage. Dans ce papier, une optimisation par
algorithme génétique (AG) a été présentée dans le but de
choisir les positions optimales des appuis de localisations
d'une ailette mobile de turbine à gaz dans un dispositif
d'usinage, en se basant sur les coordonnées
plückeriennes.
Citation

M. ARSLANE Mustapha, (2022-10-26), "OPTIMISATION PAR ALGORITHME GENETIQUE (AG) DE SYSTEME D'ISOSTATISME D'UNE AILETTE DE TURBINE A GAZ", [international] 1ère Conférence de Mécanique appliquée à l’Aéronautique (CMA’1) , ECOLE SUPERIEURE DES TECHNIQUES DE L’AERONAUTIQUE CHAHID RAHALI MOUSSA

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2022-09-10

Effect of the machining strategy on the surface roughness in hemispherical milling of nickel-based superalloys (IN 718)

Surface roughness plays a significant role in the performance of finished components.
Hemispherical milling is usually used to achieve high surface quality, especially in components with
complex geometries. However, the surface quality produced is strongly affected by the milling strategy
chosen. Different milling strategies can be applied depending on the cutting conditions chosen for
hemispherical milling. This paper investigates the effect of the milling direction on the surface roughness
of a nickel-based superalloy. A single sweep finish milling parameter is tested using a hemispherical
carbide tool. This milling operation was applied to a cylindrical surface segment of a support for
horizontal positioning of a gas turbine blade in two distinct directions. A longitudinal direction parallel to
the axis of rotation of the cylinder is first tested followed by a test in the transverse direction which
covering the entire perimeter of the cylinder. In order to carry out a sufficient number of experiments to
draw meaningful conclusions, a certain number of cutting parameters are tested including the extra
thickness, the axial and radial pitch of the cut, the feed rate and tool diameters. The two milling strategies
are considered and a mathematical model of the surface roughness is established and experimentally
validated. Results show that milling along the longitudinal direction provides better roughness values
compared to the transverse direction.
Citation

M. ARSLANE Mustapha, (2022-09-10), "Effect of the machining strategy on the surface roughness in hemispherical milling of nickel-based superalloys (IN 718)", [international] 1st International Conference on Innovative Academic Studies , Konya, Turkey

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2022-02-22

Conception et réalisation d'un système pour la localisation, le maintien et la fixation des ailettes fixes (directrices) de turbine à gaz durant l'usinage.

Il existe plusieurs types de pièces mécaniques de formes complexes possédant diverses fonctions. Les aubes de turbine sont l'un des composants les plus importants des turbines à gaz. Cependant, ces aubes ont des formes complexes et une courbure de surface irrégulière qui les rendent difficiles à usiner. Alors leur fabrication nécessite des montages spéciaux, qui malgré leurs difficultés de design et leurs coûts, doivent assurer la mise en position, le maintien en position, la rigidité, la précision ainsi que la répétabilité pour toute la série de pièces, sans qu’il y est détérioration ou usure pendant la fabrication de la série. C’est pour cette raison que la conception de ces montages spéciaux doit être faite d’une manière précise, performante et en même temps économique. Comme les besoins de précision de plus en plus augmentent dans l'industrie, de nouvelles configurations et procédés de fabrication des ailettes de turbines à gaz, doivent être développés pour satisfaire les exigences de la production moderne. Donc l’objectif de cette invention est de donner une contribution dans le domaine de la fabrication industrielle tel que, l’aéronautique, l’énergie, et la défense, précisément, dans le domaine de l’usinage des ailettes fixes de turbines sur des machines-outils à commande numérique par le développement de deux dispositifs d’usinage permettant de maintenir les pièces dans une position unique d’une manière répétitive et rigide pendant l’usinage. Ces dispositifs contribuent, de manière significative, à l’amélioration de la productivité des ailettes fixes de turbines, en matière de qualité et de temps d’exécution réduit.
Citation

M. ARSLANE Mustapha, (2022-02-22), "Conception et réalisation d'un système pour la localisation, le maintien et la fixation des ailettes fixes (directrices) de turbine à gaz durant l'usinage.", [national] University of M'sila

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2022-02-09

Conception et réalisation d'un dispositif d'usinage pour ailette de turbine à gaz

Dans l'industrie manufacturière, il existe plusieurs types de pièces de formes complexes possédant des fonctions diverses. Les aubes de turbine (aubes et palettes) sont l'un des composants les plus importants des turbines à gaz. Cependant, ces aubes ont des formes complexes et une courbure de surface irrégulière qui les rendent difficiles à usiner.
La production de ce type de pièces est très compliquée et nécessite un contrôle élevé du processus d'usinage, une programmation CNC avancée, des outils innovants et des montages spéciaux permettant de maintenir exactement et rigidement une position unique de la pièce pendant l'usinage.
Afin d'améliorer la productivité et de réduire le temps d'opération, augmentant ainsi la qualité des pièces, le dispositif d'usinage doit répondre à plusieurs exigences telles que permettre un positionnement correct avec sécurité et répétabilité de la pièce ainsi que maintenir la conformité et l'interchangeabilité des pièces usinées.
La présente invention relève le défi de l'usinage de pièces à géométrie complexe par le développement et la réalisation d'un dispositif d'usinage (FIG 01), dédié au maintien en position d'une ailette mobile (2) d'une turbine à gaz pendant l’usinage.
Les secteurs de l’énergie, de l’aéronautique et l'industrie de l'usinage profitera de manière significative de cette invention, en augmentant le temps d’usinage des machines (éliminer le temps mort), produire des pièces de haute qualité et de réduire considérablement la variabilité des temps de production tout en répondant constamment aux exigences de tolérance.
Citation

M. ARSLANE Mustapha, (2022-02-09), "Conception et réalisation d'un dispositif d'usinage pour ailette de turbine à gaz", [national] University of M'sila

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2022-01-11

CONTRIBUTION A L’USINAGE DES PIECES DE FORMES COMPLEXES SUR MACHINE-OUTIL A COMMANDE NUMERIQUE

In the manufacturing industry, there are many types of parts with complex shapes that have various functions. Turbine blades are one of the most important components of gas turbines. However, these blades have complex shapes and irregular surface curvature which make them difficult to machine. The production of this type of parts is so complicated and requires high control of the machining process, advanced CNC programming, innovative tools and special fixtures to hold exactly and rigidly in a single position of the part during the machining. This work addresses the challenge of machining parts with complex geometry by developing and producing a dedicated machining fixture for holding a gas turbine blade. The first novelty of this work lies in the application of the method of Plückeriennes coordinates to choose the placement of the locator of parts of complex shape. The choice of the location of the locator during the fixture design process is made based on the maximization of the determinant and the minimization of the condition number of the location matrix (information matrix). The second novelty lies in the optimization approach used. The latest innovation is in the developed and manufactured machining fixture. The performances of the developed machining fixture in terms of repeatability of localization are evaluated on the basis of the concept of small displacement torsor (SDT). The results show the validity of the developed machining fixture.
Citation

M. ARSLANE Mustapha, (2022-01-11), "CONTRIBUTION A L’USINAGE DES PIECES DE FORMES COMPLEXES SUR MACHINE-OUTIL A COMMANDE NUMERIQUE", [national] University of M'sila

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2021-04-01

Development and validation of a machining fixture for complex-shaped components based on Plückerian matrix approach and SDT concept.

In the manufacturing industry, there are several types of parts of complex shapes owning various functions. The turbine blades (buckets and vanes) are one of the most important components in gas turbines. However, these blades have complex shapes and irregular surface curvature which make them difficult to machine. Production of such kind of parts is so complicated and requires a high control of machining process, advanced CNC programming, innovative tools, and special fixtures allowing to maintain exactly and rigidly in a unique position of the part during machining. In order to enhance productivity and reduce operation time, thereby increasing parts quality, the machining fixture has to fulfill several requirements such as allowing a correct location with security and repeatability of the workpiece as well as maintaining conformity and interchangeability of the machined parts. This paper addresses the challenge of machining complex geometry parts by development and realization of a dedicated machining fixture (MF) for holding a mobile blade of a gas turbine. The first novelty of this work is in the application of the Plückerian coordinates method for choosing the locator’s placement of complex-shaped parts. The choice of the locator’s placement during the design process of the fixture is performed based on the maximization of the determinant and minimization of the condition number of the locator matrix (information matrix). The second novelty is in the optimization approach used. The last novelty is in the developed and fabricated machining fixture. The performance of the developed fixture in terms of localization repeatability is evaluated based on the small displacement torsor (SDT) concept. Results show the validity of the developed fixture.
Citation

M. ARSLANE Mustapha, (2021-04-01), "Development and validation of a machining fixture for complex-shaped components based on Plückerian matrix approach and SDT concept.", [national] The International Journal of Advanced Manufacturing Technology , Springer

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2018-11-28

Conception et fabrication d’un montage d’usinage pour ailettes mobiles d’une turbine à gaz

Les ailettes turbines soient fixes ou mobiles sont l’un des composants le plus important dans les turbines à gaz, une ailette peut être définie comme étant le moyen de transfert d’énergie des gaz vers le rotor turbine. Les ailettes turbine ont une géométrie complexe qui se réfère à la géométrie de forme libre. L’usinage de ce type de pièces est difficile et demande des montages spéciaux permettant de lier et positionner précisément et solidement la pièce dans le référentiel de la machine-outil. Il y’a une nécessité d’avoir des montages non encombrés et simple à manipuler en but de minimiser d’une part les coûts et les temps de réalisation de ces montages, et d’autre part, réduire les temps montage/démontage ainsi que les taches de vérification des pièces à usiner au moyen de ces montages. Ce travail consiste à concevoir et réaliser un dispositif de maintien d’une ailette mobile d’une turbine à gaz. Ce dispositif pourra se considérer comme un montage d’usinage pilote pour d’autres montages d’usinage dans la chaine de production.
Citation

M. ARSLANE Mustapha, (2018-11-28), "Conception et fabrication d’un montage d’usinage pour ailettes mobiles d’une turbine à gaz", [international] International conference on advanced mechanics and renewable energies , BOUMERDES

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2018-10-23

Réalisation d’un montage d’usinage pour les pièces de formes complexes

Dans l’industrie, il existe plusieurs types de pièces de formes complexes possédant différentes fonctions. Les ailettes turbines soient fixes ou mobiles sont considérées comme des pièces de forme complexe et sont l’un des composants le plus important dans les turbines à gaz. Cependant, ces ailettes regroupent la plupart des caractéristiques les plus difficiles à usiner. L’usinage de ces ailettes demande une bonne maitrise du procédé d’usinage, une programmation FAO avancée, un outillage novateur capable d'absorber les vibrations et des montages spéciaux permettant de positionner précisément et maintenir solidement la pièce durant l’usinage dans l’espace de travail de la machine-outil. Ce travail consiste de donner une contribution dans le domaine de l’usinage des pièces de formes complexes par la réalisation d’un dispositif de maintien d’une ailette mobile d’une turbine à gaz. Ce dispositif pourra se considérer comme un montage d’usinage pilote pour d’autres montages d’usinage dans la chaine de production.
Citation

M. ARSLANE Mustapha, (2018-10-23), "Réalisation d’un montage d’usinage pour les pièces de formes complexes", [international] International seminar in industrial engineering and applied mathematics , Université 20 Août 1955 / SKIKDA

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