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Eric Coatanéa
Researcher at Tampere University of Technology
Publications - 98
Citations - 875
Eric Coatanéa is an academic researcher from Tampere University of Technology. The author has contributed to research in topics: New product development & Engineering design process. The author has an hindex of 13, co-authored 88 publications receiving 667 citations. Previous affiliations of Eric Coatanéa include University of Helsinki & Aalto University.
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Comparative environmental impacts of additive and subtractive manufacturing technologies
Henri Paris,Hossein Mokhtarian,Hossein Mokhtarian,Eric Coatanéa,Matthieu Museau,Iñigo Flores Ituarte +5 more
TL;DR: In this paper, the authors proposed to use Life Cycle Assessment (LCA) method and associate decision criteria to support the selection of manufacturing strategies for an aeronautic turbine.
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RFBS: A model for knowledge representation of conceptual design
TL;DR: This paper presents the integration of methodologies with a model of knowledge for conceptual design in accordance with model-driven engineering and extends the FBS model and presents its practical implementation through ontology and language such as SysML.
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Knowledge based optimization of artificial neural network topology for additive manufacturing process modeling: a case study for fused deposition modeling
Hari P.N. Nagarajan,Hossein Mokhtarian,Hesam Jafarian,Saoussen Dimassi,Shahriar Bakrani Balani,Azarakhsh Hamedi,Eric Coatanéa,Gongming Wang,Karl R. Haapala +8 more
TL;DR: An approach combining dimensional analysis conceptual modeling (DACM) and classical ANNs is proposed to create a new type of knowledge-based ANN (KB-ANN), a hybrid learning network that encompasses topological zones derived from knowledge of the process and other zones where missing knowledge is modeled using classicalANNs.
Journal ArticleDOI
Additive Manufacturing in Production: A Study Case Applying Technical Requirements
TL;DR: This research proposes a composite methodology integrating Taguchi Design of Experiments, multi-objective optimization and statistical process control, to optimize the manufacturing process and fulfil multiple requirements imposed to an arbitrary geometry.
Journal ArticleDOI
The 16 T Dipole Development Program for FCC and HE-LHC
Daniel Schoerling,Diego Arbelaez,Bernhard Auchmann,Marta Bajko,Amalia Ballarino,Emanuela Barzi,Giovanni Bellomo,Michael Benedikt,Susana Izquierdo Bermudez,Bernardo Bordini,Luca Bottura,Lucas Brouwer,Pierluigi Bruzzone,Barbara Caiffi,Shlomo Caspi,Ananda Chakraborti,Eric Coatanéa,Gijs de Rijk,Marc Dhalle,Maria Durante,Pasquale Fabbricatore,Stefania Farinon,Helene Felice,Alejandro Fernandez,Inigo Sancho Fernandez,Peng Gao,Barbara Gold,Thodoris Gortsas,S.A. Gourlay,Mariusz Juchno,Vadim Kashikhin,Charilaos Kokkinos,Sotiris Kokkinos,Kari Koskinen,Friedrich Lackner,Clement Lorin,Konstantinos Loukas,Alexandre Louzguiti,Kari Lyytikainen,Samuele Mariotto,Maxim Marchevsky,Giuseppe Montenero,Javier Munilla,Igor Novitski,Toru Ogitsu,Alessandra Pampaloni,Jac Perez,C. Pes,Carlo Petrone,Demosthenes Polyzos,Soren Prestemon,Marco Prioli,Alessandro Maria Ricci,J. M. Rifflet,Etienne Rochepault,S. Russenschuck,Tiina Salmi,Ignacio Aviles Santillana,Frederic Savary,Christian Scheuerlein,Michel Segreti,Carmine Senatore,Massimo Sorbi,M. Statera,Antti Stenvall,L. Tavian,T. Tervoort,Davide Tommasini,F. Toral,R. Valente,G.V. Velev,Arjan Verweij,S. Wessel,Felix Wolf,Frank Zimmermann,Alexander V. Zlobin +75 more
TL;DR: Several development programs for these magnets, based on Nb3Sn technology, are being pursued in Europe and in the U.S. as mentioned in this paper summarizes and discusses the status, plans, and preliminary results of these programs.