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Institution

Arts et Métiers ParisTech

EducationParis, France
About: Arts et Métiers ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Machining. The organization has 3946 authors who have published 6693 publications receiving 142083 citations. The organization is also known as: École nationale supérieure d'arts et métiers & ENSAM.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors used X-ray tomography to characterize wood-based fibrous materials using a 3D skeleton representation of the fibrous network and to quantify the anisotropy of the network.
Abstract: Morphological characterization of wood based fibrous materials is carried out using X-ray tomography. This technique allows the non destructive observation at the scales of a fibre (microscopic scale) and of a network of fibres (mesoscopic scale). The 3D images are processed using classical tools of mathematical morphology. Measures of porosities and estimations of the size distributions of fibres and pores are carried out and compared to other results. An alternative method for the calculation of the local orientation of the fibres is also described to quantify the anisotropy of the fibres network. Finally, the individualization of the fibres is obtained from the representation of the fibrous network as a 3D skeleton, making possible further measurements on the isolated fibres.

65 citations

Journal ArticleDOI
TL;DR: It is demonstrated that an iron overload of Brassica napus seedlings causes a large and rapid accumulation of ascorbate peroxidase transcripts, a plant‐specific hydrogen peroxide‐scavenging enzyme, documents a novel link between iron metabolism and oxidative stress.

65 citations

Journal ArticleDOI
TL;DR: In this article, an acrylate polymer network was submitted to thermomechanical shape memory cycles and a model combining the amorphous polymer viscoelasticity and its time-temperature superposition property was used to predict the shape memory behavior of the network.

65 citations

Journal ArticleDOI
TL;DR: In this article, the effect of negative capacitance on the electromechanical coupling factor was analyzed and closed formulations were found in order to optimise the electrical network for mono-and multi-mode control.
Abstract: This paper deals with vibration control by means of piezoelectric patches shunted with electrical impedances made up by a resistance and a negative capacitance. The paper analyses most of the possible layouts by which a negative capacitance can be built and shows that a common mathematical description is possible. This allows closed formulations to be found in order to optimise the electrical network for mono- and multi-mode control. General analytical formulations are obtained to estimate the performance of the shunt in terms of vibration reduction. In particular, it is highlighted that the main effect of a negative capacitance is to artificially enhance the electromechanical coupling factor, which is the basis of performance estimation. Stability issues relating to the use of negative capacitances are especially addressed using refined models for the piezoelectric patch capacitance. Furthermore, a new circuit based on a couple of negative capacitances is proposed and tested, showing better performances than those provided by the usual layouts with a single negative capacitance. Finally, guidelines and analytical formulations to deal with the practical implementation of negative capacitance circuits are provided.

64 citations

Journal ArticleDOI
TL;DR: In this article, a finite element model valid for the numerical description of sheet-metal cutting processes by material shearing mechanisms, such as blanking and punching processes, has been developed.

64 citations


Authors

Showing all 3963 results

NameH-indexPapersCitations
Serge Bourbigot7143417569
Serge Morand6846417272
François Tardieu6817514682
Susan Holmes6725335710
Jean-Philippe Steyer6635117338
Jean-François Briat6313714082
Gregory B. McKenna6030114248
Manuel Doblaré5931311048
A. Daniel Jones5724312607
Reza Tavakkoli-Moghaddam5665013200
Nathalie Gontard5625812034
Jean-Luc Putaux5322711834
Hervé Sentenac531119530
Erik Goormaghtigh5325810697
Nicolas Bernet511968590
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202312
202231
2021311
2020398
2019526
2018432