Showing papers by "Georges Barakat published in 2019"
01 Aug 2019
TL;DR: This paper presents a multi-criteria design optimization procedure of a concentrated flux permanent magnet synchronous generator CFPMSG dedicated to ultra-large direct-drive wind turbines using analytical model coupled with genetic algorithm NSGA II, in order to reduce the weight of both the magnets and the machine’s active parts.
Abstract: This paper presents a multi-criteria design optimization procedure of a concentrated flux permanent magnet synchronous generator CFPMSG dedicated to ultra-large direct-drive wind turbines using analytical model coupled with genetic algorithm NSGA II, in order to reduce the weight of both the magnets and the machine’s active parts. Simulation results are presented and compared with design model based on reluctance network model.
4 citations
TL;DR: The interpolation approach developed in this paper aims to render motion processing independent of discretization and has the main advantage to overcome the limitations of generic RN for which the movement modeling requires remeshing at each position.
Abstract: The aim of this paper is to assess the efficacy of non-conformal meshing in mesh-based generated reluctance network modeling. A representative semi-numerical example is introduced to demonstrate the possibilities and accuracy offered by a non-conformal meshing. In a conformal mesh, two reluctance block elements share the same branch. This makes the computation faster and more accurate but is not convenient for motion processing or mesh relaxation and it does not solve the air-gap modeling problem (rotor/stator connectivity). To solve this, different approaches are used. The interpolation approach developed in this paper aims to render motion processing independent of discretization. This approach is also applied to couple different meshes (spatial discretization) and makes it possible to connect a lumped parameter model to a meshed one. The model is divided into independent zones that are connected via the interpolation coupling. Several reluctance network (RN) non-conformal meshes are presented and global quantities are compared to a fine-meshed finite-element model. Magnetic saturation is considered in the iron parts. Comparisons are provided under open-circuit and on-load configurations for flux linkage and force. The main advantage is to overcome the limitations of generic RN for which the movement modeling requires remeshing at each position. The drawbacks of the method are the increased number of variables (additional interface nodes) and a certain loss of accuracy due to the interpolation function order.
1 citations
01 Jul 2019
TL;DR: In this article, an experimental study of the thermal behavior of tubular linear machines is presented, along with a thermal model is established in order to identify thermal parameters, which is used to identify the thermal parameters of these structures.
Abstract: The aim of this contribution is to present an experimental study of the thermal behavior of tubular linear machines. The thermal behavior of these structures is less studied as compared to other topologies (radial flux rotating machines, axial flux rotating machines, and flat linear machines). It is to contribute filling this gap that this study has been conducted. Along with the experimental study, a thermal model is established in order to identify thermal parameters.
01 Aug 2019
TL;DR: This contribution describes some developments towards the construction of a generic framework for reluctance networks using a developed tool used for the study of a permanent magnet machine.
Abstract: This contribution describes some developments towards the construction of a generic framework for reluctance networks. This tool is used for the study of a permanent magnet (PM) machine. The focus will be put on the modelling methodology, and software implementation. More precisely, the aspects related to genericity will be discussed. In order to validate the developed tool, results obtained from this framework are compared to corresponding finite element analyses (FEA).