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This paper aims to propose a homogenization method considering magnetic anisotropy for a magnetic field analysis of a turbine generator. To verify the validity of the…
This paper aims to propose a homogenization method considering magnetic anisotropy for a magnetic field analysis of a turbine generator. To verify the validity of the proposed method, the effects of magnetic anisotropy and a space factor on a no-load saturation curve and no-load iron loss of the turbine generator are discussed.
The proposed method was derived from the combination of the homogenization of microscopic fields in a laminated iron core with the modelling of two-dimensional magnetic properties based on free energy. To verify the validity, the proposed method was applied to a finite-element analysis of a simple ring core model. Finally, a no-load saturation curve and iron loss of the turbine generator was investigated by using the proposed method.
The computational accuracy of the homogenization method considering magnetic anisotropy is almost the same as that of the detailed modelling of the laminated structure in the magnetic field analysis of the laminated iron core. Furthermore, it is clarified that magnetic anisotropy does not have a large influence on the no-load saturation curve of the turbine generator because of the large air gap. On the other hand, the space factor affects the shape of the no-load saturation curve.
This paper verifies the validity of the homogenization method considering magnetic anisotropy method and elucidates the effects of magnetic anisotropy and a space factor on no-load characteristics of the turbine generator.
Previous research on rivalry games in sport has predominantly focused on understanding the nature of these games and their effects on consumer behavior. As such, the…
Previous research on rivalry games in sport has predominantly focused on understanding the nature of these games and their effects on consumer behavior. As such, the purpose of this paper is to conduct an empirical examination to provide better theoretical and empirical understanding of how rivalries may impact the posting of content online.
This research utilizes Twitter data measuring the number of posts by individuals about college football teams to model how often fans create content during game days. The models in this study were estimated using fixed-effects panel regressions.
After controlling for a number of factors, including the type of rivalry game, results indicate fans post more during traditional rivalries. Furthermore, newer rivalry games had less impact on the amount of content posted about a team.
The findings from this research provide sport marketers with important information regarding fan use of digital platforms. Notably, the results suggest rivalries can help to boost the volume of content individuals post about a team, indicating these games provide teams with an opportunity to maximize their engagement with fans and focus on key marketing objectives.
To date, there has been little examination considering whether rivalries affect behaviors in the digital realm. Therefore, the current investigation is one of the first studies to examine how rivalries impact social media behavior.