https://sam.ensam.eu:443 The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. Tue, 09 Jun 2026 18:58:22 GMT 2026-06-09T18:58:22Z http://hdl.handle.net/10985/10230 Investigation into potential use of artificial intelligence techniques in piloting additive Manufacturing Systems for Metallic materials CALATORU, Victor; BALAZINSKI, Marek; RIVETTE, Mickaël Known from the beginning of the eighties, additive manufacturing (AM) was seen as an alternative to the more traditional manufacturing technologies because of its advantages, such as absence of tools and fixtures, the possibility to produce complex, even hollow forms and a short delay between design and obtaining the part. Limited until recently mostly to low fusion point materials and to rapid building form prototypes or mock-ups, its potential use was extended to building solid parts, from high fusion point materials, such as stainless steels, refractory and Titanium alloys, due to recent developments in the field of high power, high efficiency fiber or diode lasers the density of energy available in the work area increased, allowing now higher productivity. Wed, 01 Jan 2014 00:00:00 GMT http://hdl.handle.net/10985/10230 2014-01-01T00:00:00Z CALATORU, Victor BALAZINSKI, Marek RIVETTE, Mickaël Known from the beginning of the eighties, additive manufacturing (AM) was seen as an alternative to the more traditional manufacturing technologies because of its advantages, such as absence of tools and fixtures, the possibility to produce complex, even hollow forms and a short delay between design and obtaining the part. Limited until recently mostly to low fusion point materials and to rapid building form prototypes or mock-ups, its potential use was extended to building solid parts, from high fusion point materials, such as stainless steels, refractory and Titanium alloys, due to recent developments in the field of high power, high efficiency fiber or diode lasers the density of energy available in the work area increased, allowing now higher productivity. http://hdl.handle.net/10985/10231 Fixator : Dispositif d'aide à la montée et/ou à la descente de personne RIVETTE, Mickaël Fixator : Dispositif d'aide à la montée et/ou à la descente de personne. Wed, 01 Jan 2014 00:00:00 GMT http://hdl.handle.net/10985/10231 2014-01-01T00:00:00Z RIVETTE, Mickaël Fixator : Dispositif d'aide à la montée et/ou à la descente de personne. http://hdl.handle.net/10985/14035 Integrated design-oriented framework for Resource Selection in Additive Manufacturing UZ ZAMAN, Uzair Khaleeq; BAQAI, Aamer Ahmed; SIADAT, Ali; RIVETTE, Mickaël Resource selection (RS) is one of the prime phases of product design that have substantiating impact on the manufacturing of products. Material and manufacturing process selection are considered an important ingredient of RS and must be dealt with in early stages of design. Since, emerging technologies such as Additive Manufacturing (AM) have re-defined the potentials of manufacturing by re-orienting market drivers such as high part-complexity needs, individualization, shorter product development cycles, abundant materials and manufacturing processes, diverse streams of applications, etc., it is imperative to select the right compromise of materials, manufacturing processes and associated machines in early stages of design considering the Design for Additive Manufacturing guidelines. As several criteria, material attributes and process functionality requirements are involved for decision making in the industries today, an integrated design-oriented framework is proposed in this paper for RS in AM to structure design knowledge pertaining to each stage of design process; conceptual, embodiment and detail designs. However, more focus will be kept on the conceptual and embodiment design phases. Moreover, axioms are defined to aid in decision making and help in extracting the rules associated with each of the design criteria. The framework is aimed to act as a guideline for designers in the AM industry to provide design oriented and feasible material-machine-process combinations. Mon, 01 Jan 2018 00:00:00 GMT http://hdl.handle.net/10985/14035 2018-01-01T00:00:00Z UZ ZAMAN, Uzair Khaleeq BAQAI, Aamer Ahmed SIADAT, Ali RIVETTE, Mickaël Resource selection (RS) is one of the prime phases of product design that have substantiating impact on the manufacturing of products. Material and manufacturing process selection are considered an important ingredient of RS and must be dealt with in early stages of design. Since, emerging technologies such as Additive Manufacturing (AM) have re-defined the potentials of manufacturing by re-orienting market drivers such as high part-complexity needs, individualization, shorter product development cycles, abundant materials and manufacturing processes, diverse streams of applications, etc., it is imperative to select the right compromise of materials, manufacturing processes and associated machines in early stages of design considering the Design for Additive Manufacturing guidelines. As several criteria, material attributes and process functionality requirements are involved for decision making in the industries today, an integrated design-oriented framework is proposed in this paper for RS in AM to structure design knowledge pertaining to each stage of design process; conceptual, embodiment and detail designs. However, more focus will be kept on the conceptual and embodiment design phases. Moreover, axioms are defined to aid in decision making and help in extracting the rules associated with each of the design criteria. The framework is aimed to act as a guideline for designers in the AM industry to provide design oriented and feasible material-machine-process combinations. http://hdl.handle.net/10985/17858 Design for additive manufacturing (DfAM) methodologies: a proposal to foster the design of microwave waveguide components FRANÇOIS, Mathieu; SEGONDS, Frederic; RIVETTE, Mickaël; TURPAULT, Simon; PEYRE, Patrice Additive manufacturing offers many advantages, especially in terms of creativity and design freedom. However, this emerging technology is disrupting the way design is carried out and creativity is often limited by the cognitive barriers installed through years of traditional manufacturing processes. Likewise, as this manufacturing process is relatively recent and quite unknown to designers, its specificities are not always considered during the design phase, which leads to manufactured parts happening to differ from CAD models in terms of sizing or surface quality. Consequently, microwave components nowadays manufactured layer-by-layer do not exhibit operational electromagnetic performances. In this way, it is necessary to guide designers throughout the development of a product by drawing their attention to the different steps they must consider in order to design an additive manufactured optimised part. Tue, 01 Jan 2019 00:00:00 GMT http://hdl.handle.net/10985/17858 2019-01-01T00:00:00Z FRANÇOIS, Mathieu SEGONDS, Frederic RIVETTE, Mickaël TURPAULT, Simon PEYRE, Patrice Additive manufacturing offers many advantages, especially in terms of creativity and design freedom. However, this emerging technology is disrupting the way design is carried out and creativity is often limited by the cognitive barriers installed through years of traditional manufacturing processes. Likewise, as this manufacturing process is relatively recent and quite unknown to designers, its specificities are not always considered during the design phase, which leads to manufactured parts happening to differ from CAD models in terms of sizing or surface quality. Consequently, microwave components nowadays manufactured layer-by-layer do not exhibit operational electromagnetic performances. In this way, it is necessary to guide designers throughout the development of a product by drawing their attention to the different steps they must consider in order to design an additive manufactured optimised part. http://hdl.handle.net/10985/17138 Integrated product-process design: Material and manufacturing process selection for additive manufacturing using multi-criteria decision making ZAMAN, Uzair Khaleeq Uz; MOUSAVI, Seyed Meysam; SIADAT, Ali; RIVETTE, Mickaël Market dynamics of today are constantly evolving in the presence of emerging technologies such as Additive Manufacturing (AM). Drivers such as mass customization strategies, high part-complexity needs, shorter prod- uct development cycles, a large pool of materials to choose from, abundant manufacturing processes, diverse streams of applications (e.g. aerospace, motor vehicles, and health care) and high cost incurred due to manufac- turability of the part have made it essential to choose the right compromise of materials, manufacturing processes and associated machines in early stages of design considering the Design for Additive Manufacturing guidelines. There exists a complex relationship between AM products and their process data. However, the literature to-date shows very less studies targeting this integration. As several criteria, material attributes and process function- ality requirements are involved for decision making in the industries, this paper introduces a generic decision methodology, based on multi-criteria decision-making tools, that will not only provide a set of compromised AM materials, processes and machines but will also act as a guideline for designers to achieve a strong foothold in the AM industry by providing practical solutions containing design oriented and feasible material-machine com- binations from a current database of 38 renowned AM vendors in the world. An industrial case study, related to aerospace, has also been tested in detail via the proposed methodology. Sun, 01 Jan 2017 00:00:00 GMT http://hdl.handle.net/10985/17138 2017-01-01T00:00:00Z ZAMAN, Uzair Khaleeq Uz MOUSAVI, Seyed Meysam SIADAT, Ali RIVETTE, Mickaël Market dynamics of today are constantly evolving in the presence of emerging technologies such as Additive Manufacturing (AM). Drivers such as mass customization strategies, high part-complexity needs, shorter prod- uct development cycles, a large pool of materials to choose from, abundant manufacturing processes, diverse streams of applications (e.g. aerospace, motor vehicles, and health care) and high cost incurred due to manufac- turability of the part have made it essential to choose the right compromise of materials, manufacturing processes and associated machines in early stages of design considering the Design for Additive Manufacturing guidelines. There exists a complex relationship between AM products and their process data. However, the literature to-date shows very less studies targeting this integration. As several criteria, material attributes and process function- ality requirements are involved for decision making in the industries, this paper introduces a generic decision methodology, based on multi-criteria decision-making tools, that will not only provide a set of compromised AM materials, processes and machines but will also act as a guideline for designers to achieve a strong foothold in the AM industry by providing practical solutions containing design oriented and feasible material-machine com- binations from a current database of 38 renowned AM vendors in the world. An industrial case study, related to aerospace, has also been tested in detail via the proposed methodology. http://hdl.handle.net/10985/17116 Additive manufacturing technology: the status, applications, and prospects BAHNINI, Insaf; RECHIA, Ahmed; ELMESBAHI, Abdelilah; SIADAT, Ali; RIVETTE, Mickaël Additive manufacturing (AM) has first emerged in 1987 with the invention of stereolithography. The AM is an important, rapidly emerging, manufacturing technology that takes the information from a computer-aided design (CAD) and builds parts in a layer-by-layer style. As this technology offers many advantages such as manufacturing of complex geometries, reducing manufacturing cost and energy consumption, it has transformed manufacturing from the mass production to the mass customization. Also, it has found wide applications in several fields although some drawbacks. This paper presents the state of the art of the different AM processes, the material processing issues, and the post-processing operations. A comparison between AM and conventional processes is presented as well. We finish by presenting some prospects of this technology such as hybrid manufacturing and 4D printing. Mon, 01 Jan 2018 00:00:00 GMT http://hdl.handle.net/10985/17116 2018-01-01T00:00:00Z BAHNINI, Insaf RECHIA, Ahmed ELMESBAHI, Abdelilah SIADAT, Ali RIVETTE, Mickaël Additive manufacturing (AM) has first emerged in 1987 with the invention of stereolithography. The AM is an important, rapidly emerging, manufacturing technology that takes the information from a computer-aided design (CAD) and builds parts in a layer-by-layer style. As this technology offers many advantages such as manufacturing of complex geometries, reducing manufacturing cost and energy consumption, it has transformed manufacturing from the mass production to the mass customization. Also, it has found wide applications in several fields although some drawbacks. This paper presents the state of the art of the different AM processes, the material processing issues, and the post-processing operations. A comparison between AM and conventional processes is presented as well. We finish by presenting some prospects of this technology such as hybrid manufacturing and 4D printing. http://hdl.handle.net/10985/17137 A design methodology for additive manufacturing applied to fused deposition modeling process BOYARD, Nicolas; RICHIR, Simon; CHRISTMANN, Olivier; RIVETTE, Mickaël The aim of this article is to propose a design methodology for the production of parts in additive manufacturing (AM). The AM process allows new features (e.g., multi-material, fixed assemblies, complex shapes), and this paradigm shift requires the accompaniment of designers to take account of these characteristics. In response to this problematic, we propose a design methodology, in three stages, which respects the integrity of the digital channel and whose purpose is to provide a digital mock-up sliced ready to be manufactured on the most common AM process (Fused Deposition Modeling). From the specifications and the process knowledge, our methodology provides the designer a first solid geometry which satisfies all the constraints. Then, a topology optimization limits the useful volume of material of the part in order to limit the weight and the manufacturing time. If necessary, an optimized support providing manufacturability of the part is generated according to the same criteria. The methodology we propose is applied to a real industrial part. Tue, 01 Jan 2019 00:00:00 GMT http://hdl.handle.net/10985/17137 2019-01-01T00:00:00Z BOYARD, Nicolas RICHIR, Simon CHRISTMANN, Olivier RIVETTE, Mickaël The aim of this article is to propose a design methodology for the production of parts in additive manufacturing (AM). The AM process allows new features (e.g., multi-material, fixed assemblies, complex shapes), and this paradigm shift requires the accompaniment of designers to take account of these characteristics. In response to this problematic, we propose a design methodology, in three stages, which respects the integrity of the digital channel and whose purpose is to provide a digital mock-up sliced ready to be manufactured on the most common AM process (Fused Deposition Modeling). From the specifications and the process knowledge, our methodology provides the designer a first solid geometry which satisfies all the constraints. Then, a topology optimization limits the useful volume of material of the part in order to limit the weight and the manufacturing time. If necessary, an optimized support providing manufacturability of the part is generated according to the same criteria. The methodology we propose is applied to a real industrial part. http://hdl.handle.net/10985/17025 Geometrical deviation identification and prediction method for additive manufacturing HUANG, Zhicheng; BONNET, Nicolas; DANTAN, Jean-Yves; ETIENNE, Alain; RIVETTE, Mickaël Purpose – One major problem preventing further application and benefits from additive manufacturing (AM) nowadays is that AM build parts always end up with poor geometrical quality. To help improving geometrical quality for AM, this study aims to propose geometrical deviation identification and prediction method for AM, which could be used for identifying the factors, forms and values of geometrical deviation of AM parts. Design/methodology/approach – This paper applied the skin model-based modal decomposition approach to describe the geometrical déviations of AM and decompose them into different defect modes. On that basis, the approach to propose and extend defect modes was developed. Identification and prediction of the geometrical deviations were then carried out with this method. Finally, a case study with cylinders manufactured by fused deposition modeling was introduced. Two coordinate measuring machine (CMM) machines with different measure methods were used to verify the effectiveness of the methods and modes proposed. Findings – The case study results with two different CMM machines are very close, which shows that the method and modes proposed by this paper are very effective. Also, the results indicate that the main geometrical defects are caused by the shrinkage and machine inaccuracy-induced errors which have not been studied enough. Originality/value – This work could be used for identifying and predicting the forms and values of AM geometrical deviation, which could help realize the improvement of AM part geometrical quality in design phase more purposefully. This work is supported in part by the scholarship from CSC under the Grant CSC N°201406020103. Mon, 01 Jan 2018 00:00:00 GMT http://hdl.handle.net/10985/17025 2018-01-01T00:00:00Z HUANG, Zhicheng BONNET, Nicolas DANTAN, Jean-Yves ETIENNE, Alain RIVETTE, Mickaël Purpose – One major problem preventing further application and benefits from additive manufacturing (AM) nowadays is that AM build parts always end up with poor geometrical quality. To help improving geometrical quality for AM, this study aims to propose geometrical deviation identification and prediction method for AM, which could be used for identifying the factors, forms and values of geometrical deviation of AM parts. Design/methodology/approach – This paper applied the skin model-based modal decomposition approach to describe the geometrical déviations of AM and decompose them into different defect modes. On that basis, the approach to propose and extend defect modes was developed. Identification and prediction of the geometrical deviations were then carried out with this method. Finally, a case study with cylinders manufactured by fused deposition modeling was introduced. Two coordinate measuring machine (CMM) machines with different measure methods were used to verify the effectiveness of the methods and modes proposed. Findings – The case study results with two different CMM machines are very close, which shows that the method and modes proposed by this paper are very effective. Also, the results indicate that the main geometrical defects are caused by the shrinkage and machine inaccuracy-induced errors which have not been studied enough. Originality/value – This work could be used for identifying and predicting the forms and values of AM geometrical deviation, which could help realize the improvement of AM part geometrical quality in design phase more purposefully. http://hdl.handle.net/10985/17096 Geometrical variations management for additive manufactured product HUANG, Zhicheng; GOKA, Edoh; BONNET, Nicolas; DANTAN, Jean-Yves; ETIENNE, Alain; HOMRI, Lazhar; RIVETTE, Mickaël Additive manufacturing (AM) became an advanced research topic due to its ability to manufacture complex shapes. But the ability to achieve predictable and repeatable shapes is critical. Therefore, to optimize the design of an additive manufactured product, tolerancing is a key issue. This paper focuses on geometrical quality assessment of an AM product. It includes a process oriented geometrical model to predict the surface roughness and dimensional deviations, and a geometrical simulation tool to assess the impacts of these deviations on the geometrical behaviour of the joint. An application of the approach is illustrated through a case study. Sun, 01 Jan 2017 00:00:00 GMT http://hdl.handle.net/10985/17096 2017-01-01T00:00:00Z HUANG, Zhicheng GOKA, Edoh BONNET, Nicolas DANTAN, Jean-Yves ETIENNE, Alain HOMRI, Lazhar RIVETTE, Mickaël Additive manufacturing (AM) became an advanced research topic due to its ability to manufacture complex shapes. But the ability to achieve predictable and repeatable shapes is critical. Therefore, to optimize the design of an additive manufactured product, tolerancing is a key issue. This paper focuses on geometrical quality assessment of an AM product. It includes a process oriented geometrical model to predict the surface roughness and dimensional deviations, and a geometrical simulation tool to assess the impacts of these deviations on the geometrical behaviour of the joint. An application of the approach is illustrated through a case study. http://hdl.handle.net/10985/21276 Electromagnetic performance of Ti6Al4V and AlSi7Mg0.6 waveguides with laser beam melting (LBM) produced and abrasive flow machining (AFM) finished internal surfaces FRANÇOIS, Mathieu; HAN, Sangil; SEGONDS, Frederic; DUPUY, Corinne; RIVETTE, Mickaël; TURPAULT, Simon; MIMOUNA, Mehdi; SALVATORE, Ferdinando; RECH, Joël; PEYRE, Patrice Metal additive manufacturing processes, such as laser beam melting (LBM), can play a key role in developing antenna-feed chains because monolithic and multifunctional parts can be manufactured with high geometric freedom in the design phase. Using LBM technology, lighter and more compact antennas can be produced and manufac-turing costs can be reduced. However, the surface roughness of internal surfaces in waveguides produced by LBM is much higher (about 10 μm Ra) than that produced by conventional manufacturing tech-nologies. Consequently, such high surface roughness of the internal surface can affect electrical current propagation through the waveguide and corresponding transmitted power. In this paper, abrasive flow machining (AFM) was used to reduce the surface roughness of the internal surfaces of four different waveguides used at both K and Q bands. A significant reduction in the transmission loss at both K and Q bands was observed as their internal surface rough-ness decreased from about 10 μmto1μm Ra. This was assumed to be due to an increase of the internal surface electrical conductivity with the decrease of roughness in waveguides channels. Fri, 01 Jan 2021 00:00:00 GMT http://hdl.handle.net/10985/21276 2021-01-01T00:00:00Z FRANÇOIS, Mathieu HAN, Sangil SEGONDS, Frederic DUPUY, Corinne RIVETTE, Mickaël TURPAULT, Simon MIMOUNA, Mehdi SALVATORE, Ferdinando RECH, Joël PEYRE, Patrice Metal additive manufacturing processes, such as laser beam melting (LBM), can play a key role in developing antenna-feed chains because monolithic and multifunctional parts can be manufactured with high geometric freedom in the design phase. Using LBM technology, lighter and more compact antennas can be produced and manufac-turing costs can be reduced. However, the surface roughness of internal surfaces in waveguides produced by LBM is much higher (about 10 μm Ra) than that produced by conventional manufacturing tech-nologies. Consequently, such high surface roughness of the internal surface can affect electrical current propagation through the waveguide and corresponding transmitted power. In this paper, abrasive flow machining (AFM) was used to reduce the surface roughness of the internal surfaces of four different waveguides used at both K and Q bands. A significant reduction in the transmission loss at both K and Q bands was observed as their internal surface rough-ness decreased from about 10 μmto1μm Ra. This was assumed to be due to an increase of the internal surface electrical conductivity with the decrease of roughness in waveguides channels.