The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Shinzo Takata - One of the best experts on this subject based on the ideXlab platform.
-
steady state analysis of a permanent magnet assisted salient pole synchronous generator
IEEE Transactions on Energy Conversion, 2010Co-Authors: Tadashi Fukami, Takahito Hayamizu, Ryoichi Hanaoka, Kazuo Shima, Yasuhiro Matsui, Shinzo TakataAbstract:This paper presents a simple mathematical Model for the steady-state analysis of a permanent-magnet-assisted salient-pole synchronous generator (PMa-SG). The PMa-SG is a new type of salient-pole SG that has PMs between the adjacent pole shoes. The Developed Model takes into account the magnetic saturation and core loss, and enables quantitative predictions of load characteristics from the no-load test data. The validity of the Developed Model is confirmed experimentally. The effect of the PMs on the performance characteristics of the PMa-SG is also investigated.
Kyong Yop Rhee - One of the best experts on this subject based on the ideXlab platform.
-
a Developed equation for electrical conductivity of polymer carbon nanotubes cnt nanocomposites based on halpin tsai Model
Results in physics, 2019Co-Authors: Yasser Zare, Kyong Yop Rhee, Soojin ParkAbstract:Abstract This paper expresses a simple equation for conductivity of polymer carbon nanotubes (CNT) nanocomposites (PCNT) based on Halpin-Tsai Model supposing the volume fraction of networked CNT, CNT conductivity, CNT size and tunneling dimensions between adjacent CNT. The experimental results of several samples and the effects of all parameters on the conductivity examine the predictions of Developed Model. Long CNT, thick interphase, thin CNT, high percentage of networked CNT, short tunneling distance, poor waviness and large tunneling diameter advantageously improve the conductivity. The suitable agreements between experimental data and calculations as well as the sensible roles of all parameters in the conductivity justify the Developed Model. The Developed Model can provide the optimized levels of parameters introducing the most desirable conductivity.
-
predicting the electrical conductivity in polymer carbon nanotube nanocomposites based on the volume fractions and resistances of the nanoparticle interphase and tunneling regions in conductive networks
RSC Advances, 2018Co-Authors: Zhenling Liu, Yasser Zare, Wanxi Peng, David Hui, Kyong Yop RheeAbstract:Some limited Models have been suggested to determine the conductivity of polymer carbon nanotube (CNT) nanocomposites (PCNTs). However, earlier Models (e.g., the Kovacs Model) cannot properly consider the roles of the interphase regions or tunneling properties on the percolation threshold and subsequent conductivity of PCNTs. In this paper, the Kovacs Model is further Developed by assuming that the CNT, interphase, and tunneling regions are separate phases. Also, some simple equations are provided to calculate the percolation threshold as well as the volume fractions and resistances of the CNT, interphase, and tunneling regions in conductive networks. The experimental conductivity results for several samples are compared with the predictions of the Developed Model. In addition, the calculations of the Developed Model at different parameter levels are explained and justified. The conductivity calculations show good agreement with the experimental data. Moreover, the Developed Model reasonably explains the roles of the different parameters on the conductivity. For example, long, thin, and straight CNTs efficiently improve the conductivity because they form large networks in the nanocomposites. Additionally, a thick interphase enlarges the conductive networks, resulting in a desirable conductivity. The conductivity of PCNTs only depends on the tunneling resistance; this is the case because the poor resistance/significant conductivity of the CNT and interphase regions do not influence the conductivity. The Developed equations can replace conventional approaches for predicting the conductivity of nanocomposites.
-
development of a Model for electrical conductivity of polymer graphene nanocomposites assuming interphase and tunneling regions in conductive networks
Industrial & Engineering Chemistry Research, 2017Co-Authors: Yasser Zare, Kyong Yop RheeAbstract:In this study, a conventional Model for the resistivity of conductive composites is Developed for polymer/graphene nanocomposites taking into account the interphase and tunneling spaces in the conductive networks. The Developed Model considers the effects of the graphene dimensions, volume fraction of graphene in the conductive networks, contact diameter, number of contacts between nanosheets, orientation angle, interphase thickness, and tunneling distance on the conductivity of the nanocomposites. The experimental results for conductivity and the reasonable effects of different parameters on the conductivity confirm the Developed Model. Thin and large nanosheets, small tunneling distances, thick interphases, large contact diameters, low orientation angles, and high fractions of percolated nanosheets in the networks can improve the conductivity of a nanocomposite. Moreover, the thickness of the nanosheets and the tunneling distance cause the largest variations in the conductivities of nanocomposites.
Yasser Zare - One of the best experts on this subject based on the ideXlab platform.
-
a Developed equation for electrical conductivity of polymer carbon nanotubes cnt nanocomposites based on halpin tsai Model
Results in physics, 2019Co-Authors: Yasser Zare, Kyong Yop Rhee, Soojin ParkAbstract:Abstract This paper expresses a simple equation for conductivity of polymer carbon nanotubes (CNT) nanocomposites (PCNT) based on Halpin-Tsai Model supposing the volume fraction of networked CNT, CNT conductivity, CNT size and tunneling dimensions between adjacent CNT. The experimental results of several samples and the effects of all parameters on the conductivity examine the predictions of Developed Model. Long CNT, thick interphase, thin CNT, high percentage of networked CNT, short tunneling distance, poor waviness and large tunneling diameter advantageously improve the conductivity. The suitable agreements between experimental data and calculations as well as the sensible roles of all parameters in the conductivity justify the Developed Model. The Developed Model can provide the optimized levels of parameters introducing the most desirable conductivity.
-
predicting the electrical conductivity in polymer carbon nanotube nanocomposites based on the volume fractions and resistances of the nanoparticle interphase and tunneling regions in conductive networks
RSC Advances, 2018Co-Authors: Zhenling Liu, Yasser Zare, Wanxi Peng, David Hui, Kyong Yop RheeAbstract:Some limited Models have been suggested to determine the conductivity of polymer carbon nanotube (CNT) nanocomposites (PCNTs). However, earlier Models (e.g., the Kovacs Model) cannot properly consider the roles of the interphase regions or tunneling properties on the percolation threshold and subsequent conductivity of PCNTs. In this paper, the Kovacs Model is further Developed by assuming that the CNT, interphase, and tunneling regions are separate phases. Also, some simple equations are provided to calculate the percolation threshold as well as the volume fractions and resistances of the CNT, interphase, and tunneling regions in conductive networks. The experimental conductivity results for several samples are compared with the predictions of the Developed Model. In addition, the calculations of the Developed Model at different parameter levels are explained and justified. The conductivity calculations show good agreement with the experimental data. Moreover, the Developed Model reasonably explains the roles of the different parameters on the conductivity. For example, long, thin, and straight CNTs efficiently improve the conductivity because they form large networks in the nanocomposites. Additionally, a thick interphase enlarges the conductive networks, resulting in a desirable conductivity. The conductivity of PCNTs only depends on the tunneling resistance; this is the case because the poor resistance/significant conductivity of the CNT and interphase regions do not influence the conductivity. The Developed equations can replace conventional approaches for predicting the conductivity of nanocomposites.
-
development of a Model for electrical conductivity of polymer graphene nanocomposites assuming interphase and tunneling regions in conductive networks
Industrial & Engineering Chemistry Research, 2017Co-Authors: Yasser Zare, Kyong Yop RheeAbstract:In this study, a conventional Model for the resistivity of conductive composites is Developed for polymer/graphene nanocomposites taking into account the interphase and tunneling spaces in the conductive networks. The Developed Model considers the effects of the graphene dimensions, volume fraction of graphene in the conductive networks, contact diameter, number of contacts between nanosheets, orientation angle, interphase thickness, and tunneling distance on the conductivity of the nanocomposites. The experimental results for conductivity and the reasonable effects of different parameters on the conductivity confirm the Developed Model. Thin and large nanosheets, small tunneling distances, thick interphases, large contact diameters, low orientation angles, and high fractions of percolated nanosheets in the networks can improve the conductivity of a nanocomposite. Moreover, the thickness of the nanosheets and the tunneling distance cause the largest variations in the conductivities of nanocomposites.
-
a Developed Model to assume the interphase properties in a ternary polymer nanocomposite reinforced with two nanofillers
Composites Part B-engineering, 2015Co-Authors: Yasser Zare, Hamid GarmabiAbstract:Abstract In the present study, a Model is Developed for prediction of tensile modulus and interphase properties in ternary polymer nanocomposites containing two nanofillers. In this regard, Ji Model which assumes the interphase in particulate filled nanocomposites is Developed for ternary systems in which, the arrangement of two nanofillers in parallel and series orders, the role of interphase properties and the dispersion quality of nanoparticles are taken into account by a simple approach. The calculations by the Developed Model are compared with the experimental results obtained for polypropylene (PP)/montmorillonite nanoclay (MMT)/CaCO3 ternary nanocomposite. It is found that the absence of interphase causes much dissimilarity between experimental and theoretical data. However, a good agreement is obtained between the experimental data and the predicted results by the Developed Model for ternary polymer nanocomposites.
Tadashi Fukami - One of the best experts on this subject based on the ideXlab platform.
-
steady state analysis of a permanent magnet assisted salient pole synchronous generator
IEEE Transactions on Energy Conversion, 2010Co-Authors: Tadashi Fukami, Takahito Hayamizu, Ryoichi Hanaoka, Kazuo Shima, Yasuhiro Matsui, Shinzo TakataAbstract:This paper presents a simple mathematical Model for the steady-state analysis of a permanent-magnet-assisted salient-pole synchronous generator (PMa-SG). The PMa-SG is a new type of salient-pole SG that has PMs between the adjacent pole shoes. The Developed Model takes into account the magnetic saturation and core loss, and enables quantitative predictions of load characteristics from the no-load test data. The validity of the Developed Model is confirmed experimentally. The effect of the PMs on the performance characteristics of the PMa-SG is also investigated.
Maciej Pietrzyk - One of the best experts on this subject based on the ideXlab platform.
-
Development of the Multi-scale Analysis Model to Simulate Strain Localization Occurring During Material Processing
Archives of Computational Methods in Engineering, 2009Co-Authors: Lukasz Madej, Peter D. Hodgson, Maciej PietrzykAbstract:A detailed description of possibilities given by the Developed Cellular Automata—Finite Element (CAFE) multi scale Model for prediction of the initiation and propagation of micro shear bands and shear bands in metallic materials subjected to plastic deformation is presented in the work. Particular emphasis in defining the criterion for initiation of micro shear and shear bands, as well as in defining the transition rules for the cellular automata, is put on accounting for the physical aspects of these phenomena occurring in two different scales in the material. The proposed approach led to the creation of the real multi scale Model of strain localization phenomena. This Model predicts material behavior in various thermo-mechanical processes. Selected examples of applications of the Developed Model to simulations of metal forming processes, which involve strain localization, are presented in the work. An approach based on the Smoothed Particle Hydrodynamic, which allows to overcome difficulties with remeshing in the traditional CAFE method, is a subject of this work as well. In the Developed Model remeshing becomes possible and difficulties limiting application of the CAFE method to simple deformation processes are solved. Obtained results of numerical simulations are compared with the experimental results of cold rolling process to show good predicative capabilities of the Developed Model.
