https://sam.ensam.eu:443 The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. Sun, 10 May 2026 09:00:28 GMT 2026-05-10T09:00:28Z http://hdl.handle.net/10985/12215 Enriching design with X through tailored additive manufacturing knowledge : a methodological proposal LAVERNE, Floriane; D'ANTONIO, Gianluca; LE COQ, Marc; SEGONDS, Frederic a promising technology and opened up new prospects for the product development. Nevertheless, design methods remain predominantly based on conventional manufacturing processes and AM capabilities need to be better mastered and integrated in the design team. This article questions how a new technology (i.e. AM) can enable product innovation. Thus to support designers in preliminary design, a methodology is introduced. The specificity of this methodology is the use of a tailoredAMknowledge, i.e. a knowledge delivered to the right user at the right time and in the right format, in order to be useful and usable during the creative stages of the design process Fri, 01 Jan 2016 00:00:00 GMT http://hdl.handle.net/10985/12215 2016-01-01T00:00:00Z LAVERNE, Floriane D'ANTONIO, Gianluca LE COQ, Marc SEGONDS, Frederic a promising technology and opened up new prospects for the product development. Nevertheless, design methods remain predominantly based on conventional manufacturing processes and AM capabilities need to be better mastered and integrated in the design team. This article questions how a new technology (i.e. AM) can enable product innovation. Thus to support designers in preliminary design, a methodology is introduced. The specificity of this methodology is the use of a tailoredAMknowledge, i.e. a knowledge delivered to the right user at the right time and in the right format, in order to be useful and usable during the creative stages of the design process http://hdl.handle.net/10985/12236 A framework for manufacturing execution system deployment in an advanced additive manufacturing process D'ANTONIO, Gianluca; LAVERNE, Floriane; SAUZA-BEDOLLA, Joel; CHIABERT, Paolo; SEGONDS, Frederic The deployment of additive manufacturing (AM) processes had a rapid and broad increase in the last years, and the same trend is expected to hold in the near future. A way to better exploit the advantages of such technology is the use of appropriate information tools. However, today there is a lack of software applications devoted to this innovative manufacturing process. To overcome this issue, in the present work the application of manufacturing execution systems (MES), a tool commonly used in traditional manufacturing processes, is extended to AM. Furthermore, a framework for the deployment of shop-floor data, acquired through a monitoring system, in the design phase is presented: hence, MES should cooperate with design for additive manufacturing (DFAM), a set of methods and tools helpful to design a product and its manufacturing process taking into account AM specificities from the early design stages. In order to better understand the advantages of such cooperation, a case study for a proof of concept has been developed: the obtained results are promising, thus an online implementation would be recommended. Sun, 01 Jan 2017 00:00:00 GMT http://hdl.handle.net/10985/12236 2017-01-01T00:00:00Z D'ANTONIO, Gianluca LAVERNE, Floriane SAUZA-BEDOLLA, Joel CHIABERT, Paolo SEGONDS, Frederic The deployment of additive manufacturing (AM) processes had a rapid and broad increase in the last years, and the same trend is expected to hold in the near future. A way to better exploit the advantages of such technology is the use of appropriate information tools. However, today there is a lack of software applications devoted to this innovative manufacturing process. To overcome this issue, in the present work the application of manufacturing execution systems (MES), a tool commonly used in traditional manufacturing processes, is extended to AM. Furthermore, a framework for the deployment of shop-floor data, acquired through a monitoring system, in the design phase is presented: hence, MES should cooperate with design for additive manufacturing (DFAM), a set of methods and tools helpful to design a product and its manufacturing process taking into account AM specificities from the early design stages. In order to better understand the advantages of such cooperation, a case study for a proof of concept has been developed: the obtained results are promising, thus an online implementation would be recommended. http://hdl.handle.net/10985/14195 TEAM: a Tool for Eco Additive Manufacturing to optimize environmental impact in early design stages LAVERNE, Floriane; BOTTACINI, Enrico; SEGONDS, Frederic; PERRY, Nicolas; D'ANTONIO, Gianluca; CHIABERT, Paolo Nowadays, the environmental impact of a product is a major factor for the design team and for the end customer. To decrease the environmental impact of a product during its whole lifecycle, many design methods are available focusing on the multitude of data from the product once it is fully designed (Lifecycle Analysis etc ...). However, the design choices made in the early design stages have a crucial importance on the environmental impact of the chosen solution. It is therefore necessary to propose to the multidisciplinary design team a tool to help them choosing the best concept and the best way to produce it as early as possible. The emphasis in this paper is on Additive Manufacturing technologies, which are widely used in concept development. A design tool prototype is presented and evaluated in order to foster early eco-additive manufacturing of concepts. Mon, 01 Jan 2018 00:00:00 GMT http://hdl.handle.net/10985/14195 2018-01-01T00:00:00Z LAVERNE, Floriane BOTTACINI, Enrico SEGONDS, Frederic PERRY, Nicolas D'ANTONIO, Gianluca CHIABERT, Paolo Nowadays, the environmental impact of a product is a major factor for the design team and for the end customer. To decrease the environmental impact of a product during its whole lifecycle, many design methods are available focusing on the multitude of data from the product once it is fully designed (Lifecycle Analysis etc ...). However, the design choices made in the early design stages have a crucial importance on the environmental impact of the chosen solution. It is therefore necessary to propose to the multidisciplinary design team a tool to help them choosing the best concept and the best way to produce it as early as possible. The emphasis in this paper is on Additive Manufacturing technologies, which are widely used in concept development. A design tool prototype is presented and evaluated in order to foster early eco-additive manufacturing of concepts. http://hdl.handle.net/10985/13134 AM knowledge integration to foster innovation process: a methodological proposal. LAVERNE, Floriane; D'ANTONIO, Gianluca; LE COQ, Marc; SEGONDS, Frederic In a few years, Additive Manufacturing (AM) has become a promising technology and opened up new prospects for the product development. Nevertheless, design methods remain predominantly based on conventional manufacturing processes and AM capabilities need to be better mastered and integrated in the design team. The methodology presented in this article seek to foster the product innovation process by avoiding these weaknesses through a contribution of AM knowledge. This AM knowledge is tailored, i.e. delivered to the right user at the right time and in the right format, in order to be useful and usable during the creative stages of the design process. Fri, 01 Jan 2016 00:00:00 GMT http://hdl.handle.net/10985/13134 2016-01-01T00:00:00Z LAVERNE, Floriane D'ANTONIO, Gianluca LE COQ, Marc SEGONDS, Frederic In a few years, Additive Manufacturing (AM) has become a promising technology and opened up new prospects for the product development. Nevertheless, design methods remain predominantly based on conventional manufacturing processes and AM capabilities need to be better mastered and integrated in the design team. The methodology presented in this article seek to foster the product innovation process by avoiding these weaknesses through a contribution of AM knowledge. This AM knowledge is tailored, i.e. delivered to the right user at the right time and in the right format, in order to be useful and usable during the creative stages of the design process.