Magnetic Field and Fluid Flow Computation of Plural Kinds of Magnetic Particles for Magnetic Separation

Noguchi, So; Kim, Seokbeom

doi:10.1109/tmag.2011.2174207

Cited by 8 publications

(1 citation statement)

References 16 publications

(12 reference statements)

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“…The upwinding schemes are the earliest and popular ones suggested in the fluid dynamics literature and these have been extensively adopted in the moving conductor literature as well [7]- [17]. It can be worth noting here that the occurrence of numerical oscillations at higher velocities is common to many numerical schemes including the edge element method and there are few upwinding remedies suggested in the literature [18], [19].…”

Section: Introductionmentioning

confidence: 99%

On Overcoming the Transverse Boundary Error of the SU/PG Scheme for Moving Conductor Problems

2022

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Conductor moving in magnetic field is quite common in electrical equipment. The numerical simulation of such problem is vital in their design and analysis of electrical equipment. The Galerkin finite element method (GFEM) is a commonly employed simulation tool, nonetheless, due to its inherent numerical instability at higher velocities, the GFEM requires upwinding techniques to handle moving conductor problems. The streamline upwinding/Petrov-Galerkin (SU/PG) scheme is a widely acknowledged upwinding technique, despite its error peaking at the transverse boundary. This error at the transverse boundary is found to be leading to non-physical solutions. Several remedies have been suggested in the allied fluid dynamics literature, which employs non-linear, iterative techniques. The present work attempts to address this issue, by retaining the computational efficiency of the GFEM. By suitable analysis, it is shown that the source of the problem can be attributed to the Coulomb's gauge. Therefore, to solve the problem, the Coulomb's gauge is taken out from the formulation and the associated weak form is derived. The effectiveness of this technique is demonstrated with pertinent numerical results.

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Section: Introductionmentioning

confidence: 99%

On Overcoming the Transverse Boundary Error of the SU/PG Scheme for Moving Conductor Problems

2022

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Support of Temporal Change Observation Using Augmented Reality for Learning

Taketomi

Chen

Yamamoto

et al. 2014

Virtual, Augmented and Mixed Reality. Applications of Virtual and Augmented Reality

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An augmented reality (AR) technology enables to show an additional information by superimposing virtual objects onto the real world. The AR technology is gradually used in the learning environment for observing unseeable objects. Observation is the important process of inspecting a target object with significant details. It forms the basic of all scientific knowledge in education. However, there are only few AR applications which can visualize the temporal changes of the objects. In addition, the effect of this temporal change visualization by AR is not investigated from a scientific aspect. In this study, in order to clarify the effect of temporal change visualization by AR, we have compared the AR-based temporal change visualization method with the conventional temporal change visualization methods in the experiment. Especially, we set an observation of the plant growth as a practical scenario. Through the experiment, we have confirmed that superimpose the past appearance onto the user's viewpoint is effective for temporal change observation scenario.

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