MUSTAPHA Arslane

Douadi Mokhtar

Etude de l’interface HMI SINUMERIK 828D de la machine CNC à 4 axes

BEN HAMIDAT FARES , CHARIF ABDELGHANI, CHENENE ABDELKRIM

ETUDE ET REALISATION D'UN COLLECTEUR ECOLOGIQUE INTELLIGENT DE DECHETS

BOUZIDI MOHAMMED , BELAID ABDBASSET, MOUADH BOUDJELALL

MODELISATION ET FABRICATION D’UN DISSIPATEUR DE CHALEUR POUR CIRCUITS ÉLECTRONIQUES

GHADRI WALID , BRAKHLIA AKRAM

PROGRAMMATION ET REALISATION D'UN ACCOUPLEMENT MECANIQUE FLEXIBLE SUR MOCN A 3 AXES

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

Mohamed SLAMANI , SALAH Amroune , Mustapha Arslane , elhadi.abdelmalek@univ-msila.dz, , (2025-02-17), Bootstrap analysis for predicting circularity and cylindricity errors in palm/jute fiber reinforced hybrid composites, Measurement, Vol:11, Issue:22, pages:20, ELSEVIER

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

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

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

Mohamed SLAMANI , Mustapha Arslane , , (2025-01-20), Analysis of Entry and Exit Hole Delaminations during Drilling of Jute/Palm Fiber Reinforced Hybrid Composites Using HSS Drill Bits, Journal of Natural Fibers, Vol:22, Issue:1, pages:1-30, Taylor & Francis

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

Mustapha Arslane , Mohamed Fnides, , (2025-01-07), Optimization of Manufacturing Parameters for Minimizing Vibrations and Surface Roughness in Milling Using Box–Behnken Design, Journal of Vibration Engineering & Technologies, Vol:13, Issue:3, pages:1-30, Springer

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

Mustapha Arslane , , (2024-12-26), Optimization of Drilling Parameters in Natural Fibers Composite Plates Based on Grey Relational Analysis, Journal of Natural Fibers WJNF, Vol:111, Issue:222, pages:25, Taylor & Francis

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

Mustapha Arslane , ,(2024-12-13), Efficient Drilling Path Optimization in CNC Machining Using Genetic Algorithms and TSP Methodology,the International Conference on Multidisciplinary Sciences and Technological Developments (ICMUSTED 2024),Turkey

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

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

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

SALAH Amroune , ADMIN Admin , Mohamed SLAMANI , ADMIN Admin , Abdelmalek ELHADI , ADMIN Admin , Mustapha Arslane , ADMIN Admin , , (2024-11-28), Multi-response optimization of drilling parameters in hybrid natural fiber composites using Taguchi and desirability function analysis (DFA), International Journal of Advanced Manufacturing Technology, Vol:135, Issue:2, pages:5631–5645, Springer

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

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

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

Mustapha Arslane , ,(2024-09-11), Innovative Fixture for Precise Machining of Turbine Blades: Design and SDT Validation,3rd International Conference on Scientific and Innovative Studies,Konya, Turkey

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

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

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

Mustapha Arslane , ,(2024-09-11), Milling Behavior of Untreated and NaOH-Treated Alpha Fiber Composites: Effects of Fiber Orientation,3rd International Conference on Scientific and Innovative Studies,Konya, Turkey

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

Mohamed SALMI , Abdelmalek ELHADI , SALAH Amroune , Mustapha Arslane , , (2024-08-26), Investigating the impact of drill material on hole quality in jute/palm fiber reinforced hybrid composite drilling with uncertainty analysis, Heliyon, Vol:10, Issue:17, pages:25, ELSEVIER

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

Abdelmalek ELHADI , Mohamed SLAMANI , SALAH Amroune , Mustapha Arslane , , (2024-08-15), Precision drilling optimization in jute/palm fiber reinforced hybrid composites, Measurement, Vol:236, Issue:115066, pages:25, ELSEVIER

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

Belkacem AOUFI , Mustapha Arslane , , (2024-08-01), An advanced framework for tolerance analysis of cam‑clamping devices integrating unified Jacobian–Torsor model, Monte Carlo simulation, and bootstrap technique, The International Journal of Advanced Manufacturing Technology, Vol:10, Issue:4234, pages:1111_33333, Springer

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

Mustapha Arslane , , (2024-01-05), Assessment and analysis of drilling‑induced damage in jute/palm datefiber‑reinforced polyester hybrid composite, Biomass Conversion and Biorefinery, Vol:200, Issue:, pages:1750-1780, Springer

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

Mustapha Arslane , , (2023-12-28), Enhanced investigations and modeling of surface roughness of epoxy/Alfa fiber biocomposites using optimized neural network architecture with genetic algorithms, The International Journal of Advanced Manufacturing Technology, Vol:3, Issue:, pages:1700-1720, Springer

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

MADANI Grine , Mohamed SLAMANI , Mustapha Arslane , MANSOUR Rokbi , , (2023-08-16), Investigation of the machining behavior of unidirectional Alfa (Stipa tenacissima L.)/epoxy composite material, The International Journal of Advanced Manufacturing Technology, Vol:128, Issue:, pages:3183–3196, Springer

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

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

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

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

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

MustaphaArslane , ,(2022-01-11); CONTRIBUTION A L’USINAGE DES PIECES DE FORMES COMPLEXES SUR MACHINE-OUTIL A COMMANDE NUMERIQUE,University of M'sila,

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

Mustapha Arslane , , (2021-04-01), Development and validation of a machining fixture for complex-shaped components based on Plückerian matrix approach and SDT concept., The International Journal of Advanced Manufacturing Technology, Vol:114, Issue:, pages:1697–1716, Springer

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

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

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

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