http://hdl.handle.net/10985/179 Tue, 14 Apr 2026 11:42:11 GMT 2026-04-14T11:42:11Z https://sam.ensam.eu:443/bitstream/id/41d3e44f-42df-4eba-a671-ec426cc8bc44/ http://hdl.handle.net/10985/179 http://hdl.handle.net/10985/11995 Design Elements for high speed SRM ABBA, Gabriel; ANTOINE, Jean-François; SAUVEY, Christophe; VISA, Codrut This paper deals with the study of high speed switched reluctance motors and their pre-dimensioning. The predimensioning is tackled towards the inductance profile and the torque generation. Then, the power density is assessed in terms of three defined fundamental parameters, each depending on electrical, mechanical and geometrical design of the motor. The mechanical limitations studied are the centrifugal stresses and the vibratory behavior of the motor. A shape optimization of the rotor teeth leans then on a coupled magnetic-mechanic coupled problem, solved with finite elements simulations. After that,mechanic, magnetic and copper losses are given in terms of the rotor external volume so as to assess the weight of each heat source in the global motor heating. Once all the losses are linked to temperature, a criterion to improve the ability to develop a high speed motor is finally proposed. Thu, 01 Jan 2004 00:00:00 GMT http://hdl.handle.net/10985/11995 2004-01-01T00:00:00Z ABBA, Gabriel ANTOINE, Jean-François SAUVEY, Christophe VISA, Codrut This paper deals with the study of high speed switched reluctance motors and their pre-dimensioning. The predimensioning is tackled towards the inductance profile and the torque generation. Then, the power density is assessed in terms of three defined fundamental parameters, each depending on electrical, mechanical and geometrical design of the motor. The mechanical limitations studied are the centrifugal stresses and the vibratory behavior of the motor. A shape optimization of the rotor teeth leans then on a coupled magnetic-mechanic coupled problem, solved with finite elements simulations. After that,mechanic, magnetic and copper losses are given in terms of the rotor external volume so as to assess the weight of each heat source in the global motor heating. Once all the losses are linked to temperature, a criterion to improve the ability to develop a high speed motor is finally proposed. http://hdl.handle.net/10985/9238 Comparaison des actionneurs ABBA, Gabriel Les objectifs de ce rapport sont donc multiples. En premier, le rapport établie la méthodologie de sélection des actionneurs d’un robot en fonction d’un ou plusieurs critères à satisfaire tout en respectant les contraintes nécessaires au bon fonctionnement du robot, contraintes elles mêmes liées très fortement aux performances dynamiques exigées du robot et aux différentes tâches auxquelles le robot est destiné. Il est facile de montrer que la sélection des actionneurs est fortement liée aux choix technologiques des dispositifs de transmission des mouvements et de la technologie même desdits actionneurs. Le second objectif du rapport est par conséquent d’élaborer une méthode de sélection couplée des actionneurs et des transmissions. Pour se faire, nous limitons délibérément les choix à certaines technologies. Enfin, le dernier objectif du rapport est de proposer un modèle physique approché mais néanmoins le plus précis possible du comportement énergétique de l’ensemble de la chaîne de transmission des mouvements et donc un modèle énergétique des actionneurs, des transmissions cinématiques jusqu’aux variables articulaires du robot. Sun, 01 Jan 2012 00:00:00 GMT http://hdl.handle.net/10985/9238 2012-01-01T00:00:00Z ABBA, Gabriel Les objectifs de ce rapport sont donc multiples. En premier, le rapport établie la méthodologie de sélection des actionneurs d’un robot en fonction d’un ou plusieurs critères à satisfaire tout en respectant les contraintes nécessaires au bon fonctionnement du robot, contraintes elles mêmes liées très fortement aux performances dynamiques exigées du robot et aux différentes tâches auxquelles le robot est destiné. Il est facile de montrer que la sélection des actionneurs est fortement liée aux choix technologiques des dispositifs de transmission des mouvements et de la technologie même desdits actionneurs. Le second objectif du rapport est par conséquent d’élaborer une méthode de sélection couplée des actionneurs et des transmissions. Pour se faire, nous limitons délibérément les choix à certaines technologies. Enfin, le dernier objectif du rapport est de proposer un modèle physique approché mais néanmoins le plus précis possible du comportement énergétique de l’ensemble de la chaîne de transmission des mouvements et donc un modèle énergétique des actionneurs, des transmissions cinématiques jusqu’aux variables articulaires du robot. http://hdl.handle.net/10985/11894 Crystal plasticity and phenomenological approaches for the simulation of deformation behavior in thin copper alloy sheets ADZIMA, Francis; BALAN, Tudor; MANACH, Pierre-Yves; BONNET, Nicolas; TABOUROT, Laurent In the expanding context of device miniaturization, forming processes of ultra thin sheet metals are gaining importance. Numerical simulation of these processes requires accurate material modeling. In this study, both the phenomenological modeling approach and the crystal plasticity finite element method (CPFEM) are considered. Theoretical definitions of both models, numerical implementation as well as their parameter identification procedures are outlined. Subsequently they are compared on a one to one basis, mainly with regards to their ability to predict mechanical responses for a variety of strain loading paths. Sun, 01 Jan 2017 00:00:00 GMT http://hdl.handle.net/10985/11894 2017-01-01T00:00:00Z ADZIMA, Francis BALAN, Tudor MANACH, Pierre-Yves BONNET, Nicolas TABOUROT, Laurent In the expanding context of device miniaturization, forming processes of ultra thin sheet metals are gaining importance. Numerical simulation of these processes requires accurate material modeling. In this study, both the phenomenological modeling approach and the crystal plasticity finite element method (CPFEM) are considered. Theoretical definitions of both models, numerical implementation as well as their parameter identification procedures are outlined. Subsequently they are compared on a one to one basis, mainly with regards to their ability to predict mechanical responses for a variety of strain loading paths. http://hdl.handle.net/10985/25921 Integrated-decision support system (DSS) for risk identification and mitigation in manufacturing industry for zero-defect manufacturing (ZDM): a state-of-the-art review AKBAR, Muhammad Awais; NASEEM, Afshan; ZAMAN, Uzair Khaleeq Uz; PETRONIJEVIC, Jelena Risk management has always been a trend in manufacturing related literature in the era of zero-defect manufacturing (ZDM). However, a gap still exists to present a holistic viewpoint of the integration for a product and its related processes involved during decision-making in manufacturing industry. The (knowledge-driven) integrated-decision support system indicates the opportunity by integrating the product design and manufacturing processes related risks in a manufacturing industry to make better decisions at the shop foor. It further proposes a direction towards development of a decision support system framework for their respective risks’ identifcation as well as mitigation to enhance the quality, while minimizing time and cost. Over the years, risk identifcation has been considered well but risk mitigation has mostly been overlooked in the published literature. This paper scanned over a thousand papers from renowned journals published between 2005 and 2024. Currently, the evolu tion involved in the advancement of decision support tools for risk management has been reviewed by utilizing systematic literature review methodology. The study also provides a design overview, highlighting its features, pros, and cons of the existing methods which can be used for risk identifcation, prioritization, and mitigation in the development of a dynamic decision support system to aim (data-driven) zero-defect manufacturing (ZDM). Lastly, the paper discusses the current challenges and opportunities to lessen the manufacturing recalls in the industry, followed by phases of the proposed model. Tue, 01 Oct 2024 00:00:00 GMT http://hdl.handle.net/10985/25921 2024-10-01T00:00:00Z AKBAR, Muhammad Awais NASEEM, Afshan ZAMAN, Uzair Khaleeq Uz PETRONIJEVIC, Jelena Risk management has always been a trend in manufacturing related literature in the era of zero-defect manufacturing (ZDM). However, a gap still exists to present a holistic viewpoint of the integration for a product and its related processes involved during decision-making in manufacturing industry. The (knowledge-driven) integrated-decision support system indicates the opportunity by integrating the product design and manufacturing processes related risks in a manufacturing industry to make better decisions at the shop foor. It further proposes a direction towards development of a decision support system framework for their respective risks’ identifcation as well as mitigation to enhance the quality, while minimizing time and cost. Over the years, risk identifcation has been considered well but risk mitigation has mostly been overlooked in the published literature. This paper scanned over a thousand papers from renowned journals published between 2005 and 2024. Currently, the evolu tion involved in the advancement of decision support tools for risk management has been reviewed by utilizing systematic literature review methodology. The study also provides a design overview, highlighting its features, pros, and cons of the existing methods which can be used for risk identifcation, prioritization, and mitigation in the development of a dynamic decision support system to aim (data-driven) zero-defect manufacturing (ZDM). Lastly, the paper discusses the current challenges and opportunities to lessen the manufacturing recalls in the industry, followed by phases of the proposed model. http://hdl.handle.net/10985/8825 A generic methodology to improve the control of forging process parameters ALLAM, Zakaria; BECKER, Eric; BAUDOUIN, Cyrille; BIGOT, Regis; KRUMPIPE, Pierre One of the common problems in forging processes is the lack of key process parameters control, as well as their identification. Certain controlled parameters exist, such as temperature or stroke length, which are usually identified and controlled through a systematic approach. Their selection depends particularly on the part to produce or on customer’s constraints, rather than a rational approach. In this paper, a methodology is proposed to select the key process parameters. There are some methodologies which already exist, such as the DMAIC, which are used to determine the control parameters and their influences on the desired specifications. However, this approach has certain drawbacks. For example, the key parameters are selected by experts, which makes each case study time consuming. The aim is to develop a generic methodology to improve the manufacturing process in the forging industry. The methodology is represented as a decision support system that connects product specifications (geometry, absence of defects…) or other forging specifications (tool wear, involved energy...) to the process parameters. The latter will be able to define the key parameters, their values and their appropriate way of control. These links will be setup using the empirical rules and physical laws. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10985/8825 2013-01-01T00:00:00Z ALLAM, Zakaria BECKER, Eric BAUDOUIN, Cyrille BIGOT, Regis KRUMPIPE, Pierre One of the common problems in forging processes is the lack of key process parameters control, as well as their identification. Certain controlled parameters exist, such as temperature or stroke length, which are usually identified and controlled through a systematic approach. Their selection depends particularly on the part to produce or on customer’s constraints, rather than a rational approach. In this paper, a methodology is proposed to select the key process parameters. There are some methodologies which already exist, such as the DMAIC, which are used to determine the control parameters and their influences on the desired specifications. However, this approach has certain drawbacks. For example, the key parameters are selected by experts, which makes each case study time consuming. The aim is to develop a generic methodology to improve the manufacturing process in the forging industry. The methodology is represented as a decision support system that connects product specifications (geometry, absence of defects…) or other forging specifications (tool wear, involved energy...) to the process parameters. The latter will be able to define the key parameters, their values and their appropriate way of control. These links will be setup using the empirical rules and physical laws. http://hdl.handle.net/10985/9095 Forging process control: Influence of key parameters variation on product specifications deviations ALLAM, Zakaria; BECKER, Eric; BAUDOUIN, Cyrille; BIGOT, Regis; KRUMPIPE, Pierre Process control in forging industry is essential to ensure a better quality of the product with a lower cost at the end of the manufacturing process. To control the process, a number of key parameters must be monitored to prevent product or forging plan deviations. This paper will illustrate how a variation in a process parameter can create product specifications deviations and how key parameters influence product final state. The illustration work is done on a part obtained via hot forging. An analysis is made on product parameters such as geometry, by varying the key process parameter values previously determined from a created methodology. This later is represented as a decision support system that connects product specifications (geometry, absence of defects…) or other forging specifications (tool wear, involved energy...) to the process parameters. Wed, 01 Jan 2014 00:00:00 GMT http://hdl.handle.net/10985/9095 2014-01-01T00:00:00Z ALLAM, Zakaria BECKER, Eric BAUDOUIN, Cyrille BIGOT, Regis KRUMPIPE, Pierre Process control in forging industry is essential to ensure a better quality of the product with a lower cost at the end of the manufacturing process. To control the process, a number of key parameters must be monitored to prevent product or forging plan deviations. This paper will illustrate how a variation in a process parameter can create product specifications deviations and how key parameters influence product final state. The illustration work is done on a part obtained via hot forging. An analysis is made on product parameters such as geometry, by varying the key process parameter values previously determined from a created methodology. This later is represented as a decision support system that connects product specifications (geometry, absence of defects…) or other forging specifications (tool wear, involved energy...) to the process parameters. http://hdl.handle.net/10985/8932 Statistical model of the tool/workpiece mechanical interactions in FSW ALLAM, Zakaria; ZIMMER-CHEVRET, Sandra; ABBA, Gabriel; LANGLOIS, Laurent The robotization of the FSW process is facing two challenges which are to support the amplitude of the tool / workpiece mechanical interaction generated by welding and to apply the process parameters and in particular the axial force. To design the control laws of the robot it is necessary to model the mechanical interaction between the tool and the workpiece as function of the fsw process parameters. Sun, 01 Jan 2012 00:00:00 GMT http://hdl.handle.net/10985/8932 2012-01-01T00:00:00Z ALLAM, Zakaria ZIMMER-CHEVRET, Sandra ABBA, Gabriel LANGLOIS, Laurent The robotization of the FSW process is facing two challenges which are to support the amplitude of the tool / workpiece mechanical interaction generated by welding and to apply the process parameters and in particular the axial force. To design the control laws of the robot it is necessary to model the mechanical interaction between the tool and the workpiece as function of the fsw process parameters. http://hdl.handle.net/10985/26843 AI-driven advances in composite materials for hydrogen storage vessels: A review AMINHARATI, Pedram; SHIRINBAYAN, Mohammadali; BENFRIHA, Khaled; MERAGHNI, Fodil; FITOUSSI, Joseph This review provides a comprehensive examination of artificial intelligence methods applied to the design, optimization, and performance prediction of composite-based hydrogen storage vessels, with a focus on composite overwrapped pressure vessels. Targeted at researchers, engineers, and industrial stakeholders in materials science, mechanical engineering, and renewable energy sectors, the paper aims to bridge traditional mechanical modeling with evolving AI tools, while emphasizing alignment with standardization and certification re­quirements to enhance safety, efficiency, and lifecycle integration in hydrogen infrastructure. The review begins by introducing HSV types, their material compositions, and key design challenges, including high-pressure durability, weight reduction, hydrogen embrittlement, leakage prevention, and environmental sustainability. It then analyzes conventional approaches, such as finite element analysis, multiscale modeling, and experimental testing, which effectively address aspects like failure modes, fracture strength, liner damage, dome thickness, winding angle effects, crash behavior, crack propagation, charging/discharging dynamics, burst pressure, durability, reliability, and fatigue life. On the other hand, it has been shown that to optimize and predict the characteristics of hydrogen storage vessels, it is necessary to combine the conventional methods with artificial intelligence methods, as conventional methods often fall short in multi-objective optimization and rapid predictive analytics due to computational intensity and limitations in handling uncertainty or complex datasets. To overcome these gaps, the paper evaluates hybrid frameworks that integrate traditional techniques with AI, including machine learning, deep learning, artificial neural networks, evolutionary algorithms, and fuzzy logic. Recent studies demonstrate AI’s efficacy in failure prediction, design optimization to mitigate structural risks, structural health monitoring, material property evaluation, burst pressure forecasting, crack detection, com­posite lay-up arrangement, weight minimization, material distribution enhancement, metal foam ratio optimi­zation, and optimal material selection. By synthesizing these advancements, this work underscores AI’s potential to accelerate development, reduce costs, and improve HSV performance, while advocating for physics-informed models, robust datasets, and regulatory alignment to facilitate industrial adoption. Mon, 01 Sep 2025 00:00:00 GMT http://hdl.handle.net/10985/26843 2025-09-01T00:00:00Z AMINHARATI, Pedram SHIRINBAYAN, Mohammadali BENFRIHA, Khaled MERAGHNI, Fodil FITOUSSI, Joseph This review provides a comprehensive examination of artificial intelligence methods applied to the design, optimization, and performance prediction of composite-based hydrogen storage vessels, with a focus on composite overwrapped pressure vessels. Targeted at researchers, engineers, and industrial stakeholders in materials science, mechanical engineering, and renewable energy sectors, the paper aims to bridge traditional mechanical modeling with evolving AI tools, while emphasizing alignment with standardization and certification re­quirements to enhance safety, efficiency, and lifecycle integration in hydrogen infrastructure. The review begins by introducing HSV types, their material compositions, and key design challenges, including high-pressure durability, weight reduction, hydrogen embrittlement, leakage prevention, and environmental sustainability. It then analyzes conventional approaches, such as finite element analysis, multiscale modeling, and experimental testing, which effectively address aspects like failure modes, fracture strength, liner damage, dome thickness, winding angle effects, crash behavior, crack propagation, charging/discharging dynamics, burst pressure, durability, reliability, and fatigue life. On the other hand, it has been shown that to optimize and predict the characteristics of hydrogen storage vessels, it is necessary to combine the conventional methods with artificial intelligence methods, as conventional methods often fall short in multi-objective optimization and rapid predictive analytics due to computational intensity and limitations in handling uncertainty or complex datasets. To overcome these gaps, the paper evaluates hybrid frameworks that integrate traditional techniques with AI, including machine learning, deep learning, artificial neural networks, evolutionary algorithms, and fuzzy logic. Recent studies demonstrate AI’s efficacy in failure prediction, design optimization to mitigate structural risks, structural health monitoring, material property evaluation, burst pressure forecasting, crack detection, com­posite lay-up arrangement, weight minimization, material distribution enhancement, metal foam ratio optimi­zation, and optimal material selection. By synthesizing these advancements, this work underscores AI’s potential to accelerate development, reduce costs, and improve HSV performance, while advocating for physics-informed models, robust datasets, and regulatory alignment to facilitate industrial adoption. http://hdl.handle.net/10985/8443 A flexible modular master programme in technology developped whithin a Tempus Project AMIRAT, Abdelaziz; CHAOUI, Kamel; MARTIN, Patrick; CHATTI, Sami In today’s competitive industry and in view of recent economic turbulences new frontiers of challenges emerge that require new educational paradigms accompanied by new tools and methodologies applicable to all aspects of engineering areas including the functional and organizational aspects. In accordance with the objectives stipulated by the Council of European Union work programme on the future of education and training, a Tempus project (2010-2013) has been mounted to develop a novel model for modular programmes to be used in education of technology specialities at master level. The model is implemented in manufacturing technology and management area and has general applicability for technology education in several fields. The main feature of this project consists in flexibility, adaptability, dynamic interactivity while consolidating theoretical and practical skills. MasTech is the name of a flexible modular master two-year programme in technology being developed according to the Bologna process that is to be adapted to the particular conditions of the universities in Algeria, Morocco and Tunisia. Three European Universities (Sweden, Germany, France) are involved in the project. This paper introduces MasTech and describes the different steps that have been followed to develop the master programme taking into account both academic and industrial needs and priorities. Results are expressed in terms of a professional master programme that has been submitted for accreditation. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10985/8443 2013-01-01T00:00:00Z AMIRAT, Abdelaziz CHAOUI, Kamel MARTIN, Patrick CHATTI, Sami In today’s competitive industry and in view of recent economic turbulences new frontiers of challenges emerge that require new educational paradigms accompanied by new tools and methodologies applicable to all aspects of engineering areas including the functional and organizational aspects. In accordance with the objectives stipulated by the Council of European Union work programme on the future of education and training, a Tempus project (2010-2013) has been mounted to develop a novel model for modular programmes to be used in education of technology specialities at master level. The model is implemented in manufacturing technology and management area and has general applicability for technology education in several fields. The main feature of this project consists in flexibility, adaptability, dynamic interactivity while consolidating theoretical and practical skills. MasTech is the name of a flexible modular master two-year programme in technology being developed according to the Bologna process that is to be adapted to the particular conditions of the universities in Algeria, Morocco and Tunisia. Three European Universities (Sweden, Germany, France) are involved in the project. This paper introduces MasTech and describes the different steps that have been followed to develop the master programme taking into account both academic and industrial needs and priorities. Results are expressed in terms of a professional master programme that has been submitted for accreditation. http://hdl.handle.net/10985/20657 Conception sûre des systèmes de production : intégration de la santé/sécurité des opérateurs à travers l’analyse des usages ARIAS CORZO, Sergio O.; DAILLE-LEFEVRE, Bruno; GODOT, Xavier; MARTIN, Patrick Lors d’une démarche de conception de poste de travail, les leviers d’action du concepteur face à d’éventuels risques dépendront du moment où celui-ci sera en mesure d’identifier ces risques. En effet, s’ils sont découverts trop tard, les retours en arrière sont très difficiles, voire impossible dans certains cas. Quoiqu’il en soit, ils impacteront immanquablement le projet en termes de coût et de délai. En cas de poursuite du projet malgré les risques encourus, le poste de travail ne sera pas adapté aux opérateurs, ce qui provoquera une diminution de la productivité et une augmentation inéluctable de situations dangereuses. Dans le cadre de ce projet, pour pouvoir assurer la santé et la sécurité des opérateurs, nous avons développé une méthodologie qui permettra aux concepteurs d’identifier le plus rapidement possible les usages de poste de travail et les risques associés. Cette méthodologie combine une démarche de conception générique qui s’appuie sur une approche systémique afin d’identifier les usages que les opérateurs feront du système pour assurer les impératifs de production, et une démarche reposant sur une approche énergétique, qui elle, vise à identifier les dangers potentiels. Fri, 01 Jan 2021 00:00:00 GMT http://hdl.handle.net/10985/20657 2021-01-01T00:00:00Z ARIAS CORZO, Sergio O. DAILLE-LEFEVRE, Bruno GODOT, Xavier MARTIN, Patrick Lors d’une démarche de conception de poste de travail, les leviers d’action du concepteur face à d’éventuels risques dépendront du moment où celui-ci sera en mesure d’identifier ces risques. En effet, s’ils sont découverts trop tard, les retours en arrière sont très difficiles, voire impossible dans certains cas. Quoiqu’il en soit, ils impacteront immanquablement le projet en termes de coût et de délai. En cas de poursuite du projet malgré les risques encourus, le poste de travail ne sera pas adapté aux opérateurs, ce qui provoquera une diminution de la productivité et une augmentation inéluctable de situations dangereuses. Dans le cadre de ce projet, pour pouvoir assurer la santé et la sécurité des opérateurs, nous avons développé une méthodologie qui permettra aux concepteurs d’identifier le plus rapidement possible les usages de poste de travail et les risques associés. Cette méthodologie combine une démarche de conception générique qui s’appuie sur une approche systémique afin d’identifier les usages que les opérateurs feront du système pour assurer les impératifs de production, et une démarche reposant sur une approche énergétique, qui elle, vise à identifier les dangers potentiels.