Institution
ParisTech
Education•Paris, France•
About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Residual stress & Finite element method. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.
Papers published on a yearly basis
Papers
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02 Oct 2019
TL;DR: The European Plasma Research Accelerator with eXcellence In Applications (EuPRAXIA) project as discussed by the authors aims to overcome the first three of these hurdles by developing a conceptual design for a first international user facility based on plasma acceleration.
Abstract: Plasma accelerators present one of the most suitable candidates for the development of more compact particle acceleration technologies, yet they still lag behind radiofrequency (RF)-based devices when it comes to beam quality, control, stability and power efficiency. The Horizon 2020-funded project EuPRAXIA ("European Plasma Research Accelerator with eXcellence In Applications") aims to overcome the first three of these hurdles by developing a conceptual design for a first international user facility based on plasma acceleration. In this paper we report on the main features, simulation studies and potential applications of this future research infrastructure.
9 citations
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01 Jan 2014TL;DR: Making the assumption of seamless access to sensor data through IoT paradigms, this chapter provides an overview of some of the most exciting enabling applications that rely on intelligent data analysis and machine learning for energy saving in buildings.
Abstract: The emerging concept of Smart Building relies on an intensive use of sensors and actuators and therefore appears, at first glance, to be a domain of predilection for the IoT. However, technology providers of building automation systems have been functioning, for a long time, with dedicated networks, communication protocols and APIs. Eventually, a mix of different technologies can even be present in a given building. IoT principles are now appearing in buildings as a way to simplify and standardise application development. Nevertheless, many issues remain due to this heterogeneity between existing installations and native IP devices that induces complexity and maintenance efforts of building management systems. A key success factor for the IoT adoption in Smart Buildings is to provide a loosely-coupled Web protocol stack allowing interoperation between all devices present in a building. We review in this chapter different strategies that are going in this direction. More specifically, we emphasise on several aspects issued from pervasive and ubiquitous computing like service discovery. Finally, making the assumption of seamless access to sensor data through IoT paradigms, we provide an overview of some of the most exciting enabling applications that rely on intelligent data analysis and machine learning for energy saving in buildings.
9 citations
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TL;DR: In this article, a kinetic model is elaborated to predict the lifetime of polyethylene pipes transporting slightly pressurized (3 − 12 bars) drinking water disinfected by free radical reagents.
Abstract: A kinetic model has been elaborated to predict the lifetime of polyethylene pipes transporting slightly pressurized (3―12 bars) drinking water disinfected by free radical reagents. This model is composed of three levels: i) A system of differential equations, derived from a mechanistic scheme for radical chain oxidation in the presence of free radical reagents, giving access to the spatial distribution (in the pipe wall) of oxidation products and stabilizer concentration; ii) Equations allowing to predict the profiles of average molar masses from the spatial distribution of chain scissions and crosslinking events; iii) An empirical creep equation and a failure criterion derived from regression curves obtained in pure water (without disinfectant). It is assumed that the chemical degradation modifies only the time to transition between ductile and brittle regimes of failure, and that this time is linked to the weight average molar mass according to the classical power law. By superimposing these three levels, it is possible to predict the time to failure under the coupled effects of pressure and chemical degradation. This model is successfully applied to the case of chlorine dioxide.
9 citations
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TL;DR: The problem is formulated as a mixed-integer nonlinear programming model for the location-allocation problem that tries to choose which DCs and RCs to be opened and to determine the repair service mode of each failed items with objective function minimizing the total cost.
Abstract: In this paper, a closed-loop location-inventory problem for spare parts is presented. The proposed supply chain network includes two echelons, namely (1) distribution centers (DCs) and repairing centers (RCs) and (2) operational bases. Multiple spare parts are distributed among operational bases from distribution centers in the forward supply chain and failed spare parts from operational bases are sent back to the repairing centers to receive multi-modal repair services in the reverse supply chain. The problem is formulated as a mixed-integer nonlinear programming model for the location-allocation problem that tries to choose which DCs and RCs to be opened and to determine the repair service mode of each failed items with objective function minimizing the total cost. Furthermore, the validation of the model is tested by GAMS software for small-sized problem, and particle swarm optimization (PSO) is proposed to solve large-sized problems in a rescannable time. Finally, several sensitivity analyses are presented to evaluate the proposed model.
9 citations
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TL;DR: In this paper, the results related to the influence of selected electrical parameters of the abrasive electrodischarge grinding process on the surface layer temperature and morphology of machined samples in comparison to the conventional grinding method are presented.
Abstract: In this work the results related to the influence of selected electrical parameters of the abrasive electrodischarge grinding process on the surface layer temperature and morphology of machined samples in comparison to the conventional grinding method are presented. The basis of this work has been investigations of the deep grinding of surfaces of the samples made of titanium 5553 β, Inconel 617, Hastelloy X and magnesium AZ31 using a cubic boron nitride (CBN) grinding wheel with metallic binding agent. For the comparative evaluation of the conventional grinding and abrasive electrodischarge grinding, measurements of the specific grinding energy, temperature on the surface layer (at the contact of the grinding wheel‐workpiece) and geometric structure of the surface layer have been used.
9 citations
Authors
Showing all 1899 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mathias Fink | 116 | 900 | 51759 |
George G. Malliaras | 94 | 382 | 28533 |
Mickael Tanter | 85 | 583 | 29452 |
Gerard Mourou | 82 | 653 | 34147 |
Catherine Lapierre | 79 | 227 | 18286 |
Carlo Adamo | 75 | 444 | 36092 |
Jean-François Joanny | 72 | 294 | 20700 |
Marie-Paule Lefranc | 72 | 381 | 21087 |
Paul B. Rainey | 70 | 222 | 17930 |
Vincent Lepetit | 70 | 268 | 26207 |
Bernard Asselain | 69 | 409 | 23648 |
Michael J. Baker | 69 | 394 | 20834 |
Jacques Prost | 68 | 198 | 19064 |
Jean-Philippe Vert | 67 | 235 | 17593 |
Jacques Mairesse | 66 | 310 | 20539 |