Matthew Forbes , William S.P. Robertson , Anthony C. Zander , James Vidler , Johannes J.H. Paulides
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引用次数: 0
Abstract
The Maxwell Stress Tensor is a computationally efficient method for calculating the force and torque between two arbitrary collections of rigidly-connected permanent magnets, coils, and/or iron (soft magnet) segments, when using exact analytic magnetic field solutions. However, use of the tensor exacerbates numerical errors present in the closed-surface free space mesh of a region, whether that be from an approximate field solution such as a finite sum, or discretisation errors that create a numeric non-zero divergence. Using a specialised identity of the divergence theorem, this article derives a generalised Maxwell Stress Tensor, which is interchangeable with the standard form and significantly reduces or removes numerical error sources from the meshing. The application focus of this work is modelling of non-periodic permanent magnet machines without geometrical assumptions through superposition of analytic magnetic field solutions (B and H) from a large number of elements. The influence of relative permeability can be included in these elements through varying the volumetric magnetic charge or current densities. Case studies with analytic or finite element force solutions are used to verify the result and compare the accuracy and computational efficiency with traditional semi-analytic methods. The proposed tensor enables parametric studies with accuracy not previously possible using an elemental modelling method, and can be applied to existing multiphysics models.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.