COGNET, Bruno RIVEST, Louis DANJOU, Christophe PERNOT, Jean-Philippe
The fourth industrial revolution is forcing companies to define their digital strategy, making it imperative that they assess their digital maturity as a basis for improvements. As a result, a variety of maturity models have emerged. However, it can be difficult to identify which one is most appropriate. This paper introduces a new methodology to c...
ABBOUD, Eddy GROLET, Aurélien MAHÉ, Hervé THOMAS, Olivier
In this paper, a method for computing the dynamics of a geared system excited by its static transmission error is proposed. The method is based on the iterative spectral method (ISM) and on the harmonic balance method (HBM). It is shown that the dynamic transmission error (DTE) can be obtained in the frequency domain by solving a linear system of e...
GRAEFF, Eliot MARANZANA, Nicolas AOUSSAT, Améziane
Implementation of biomimetics in practical innovation strategies still faces various impediments. Multidisciplinary communication is one of the most recognized one. Enabling teammates having various cognitive and conceptual frameworks to properly exchange information is a key lever for optimization. In a previous study, we performed a comparative a...
VERGEZ, Lucas PERNOT, Jean-Philippe POLETTE, Arnaud
Enlarging 3D model databases by shape synthesis is a large field of research. Indeed, the use of machine learning techniques requires a huge amount of labeled CAD models, and it is therefore crucial to rely on large and varied databases. Most of existing works in shape synthesis focus on everyday life objects generation [1]. However, these methods ...
MULL, Jean-François DURAND, Camille BAUDOUIN, Cyrille BIGOT, Regis
In forging processes, the determination of blow efficiency is very important, as it quantifies the part of the stroke energy actually transmitted to the billet. Thus, forging processes should be deeply analyzed in order to better understand the stroke energy conversion, accurately estimate blows efficiency and thus better predict process parameters...
HU, Hao ZHANG, Chao HUANG, Yanjia ZHAO, Qian YEUNG, Sunny PERNOT, Jean-Philippe KLEINER, Mathias
Currently, geometric over-constraints detection is of major interest in several diferent felds. In terms of product development process (PDP), many approaches exist to compare and detect geometric over-constraints, to decompose geometric systems, to solve geometric constraints systems. However, most approaches do not take into account the key chara...
SHAH, Ghazanfar Ali GIANNINI, Franca MONTI, Marina PERNOT, Jean-Philippe POLETTE, Arnaud
AbstractThis paper addresses the way a simulated annealing-based fitting strategy can be enhanced by leveraging a sensitivity analysis able to characterize the impact of the variations in the parameters of a CAD model on the evolution of the deviation between the CAD model itself and the point cloud of the digitized part to be fitted. The principle...
CARERI, Francesco IMBROGNO, Stano UMBRELLO, Domenico ATTALLAH, Moataz M. MARTINS DO OUTEIRO, Jose Carlos BATISTA, António C.
The aim of this study is to determine the most suitable post-processing routines to enhance the surface integrity of components produced with Inconel 718 superalloy by additive manufacturing. The components were fabricated by Direct Energy Deposition (DED) followed by two typical post-processing methods: machining and heat treatment. The effect of...
GRAEFF, Eliot LETARD, Anneline RASKIN, Kalina MARANZANA, Nicolas AOUSSAT, Améziane
We would like to thank all the students and professionals that have given time and energy for this project. We also would like to specifically thank Kristina Wanieck and the CEEBIOS members for their time, inputs and precious feedbacks on the FMEA used in this article. / Biomimetics has been a subject of increasing interest but, where it has proven...
LANG, Armand JEAN, Camille GAZO, Claude GUEGAN, Jérôme BUISINE, Stéphanie MANTELET, Fabrice SEGONDS, Frederic
Additive manufacturing (AM) brings new design potential compared with traditional manufacturing. Nevertheless, traditional manufacturing knowledge remains embedded in the minds of designers and is a real cognitive barrier to design in AM. Design for Additive Manufacturing (DfAM) provides tools, techniques, and guidelines to optimize design with the...