By Sergey N. Makarov, Gregory M. Noetscher, Ara Nazarian
Provides a close and systematic description of the strategy of Moments (Boundary aspect procedure) for electromagnetic modeling at low frequencies and comprises hands-on, application-based MATLAB® modules with uncomplicated and intuitive GUI and a hugely visualized interactive output.
Includes a full-body computational human phantom with over a hundred and twenty triangular floor meshes extracted from the seen Human Project® girl dataset of the nationwide library of medication and entirely suitable with MATLAB® and significant advertisement FEM/BEM electromagnetic software program simulators.
This publication covers the fundamental thoughts of computational low-frequency electromagnetics in an application-based layout and hones the data of those recommendations with hands-on MATLAB® modules. The e-book is split into 5 elements. half 1 discusses low-frequency electromagnetics, easy thought of triangular floor mesh iteration, and computational human phantoms. half 2 covers electrostatics of conductors and dielectrics, and direct present move. Linear magnetostatics is analyzed partly three. half four examines concept and purposes of eddy currents. ultimately, half five evaluates nonlinear electrostatics. software examples incorporated during this e-book disguise all significant topics of low-frequency electromagnetic concept. additionally, this e-book contains entire or summarized analytical ideas to quite a few quasi-static electromagnetic difficulties. every one bankruptcy concludes with a precis of the corresponding MATLAB® modules.
- Combines primary electromagnetic thought and application-oriented computation algorithms within the type of stand by myself MATLAB® modules
- Makes use of the 3-dimensional approach to Moments (MoM) for static and quasistatic electromagnetic problems
- Contains an in depth full-body computational human phantom from the seen Human Project® lady, embedded implant types, and a set of homogeneous human shells
Low-Frequency Electromagnetic Modeling for electric and organic platforms Using MATLAB® is a source for electrical and biomedical engineering scholars and practising researchers, engineers, and doctors engaged on low-frequency modeling and bioelectromagnetic purposes.
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Additional info for Low-Frequency Electromagnetic Modeling for Electrical and Biological Systems Using MATLAB
Norwood (MA): Artech House; 2005. 43. Jin J-M. Theory and Computation of Electromagnetic Fields. New York: IEEE Press; 2010. 44. Jin J-M. The Finite Element Method in Electromagnetics. New York: IEEE Press; 2014. 45. Jin J-M, Riley DJ. Finite Element Analysis of Antennas and Arrays. New York: IEEE Press; 2008. 46. Volakis JL, Chatterjee A, Kempel LC. Finite Element Method for Electromagnetics. New York: IEEE Press; 1998. REFERENCES 47. 48. 49. 50. 51. 52. 53. 54. 33 Smythe WR. Static and Dynamic Electricity.
We should use Neumann boundary conditions ∂φ r ∂n = 0 for the remainder of the object’s surface, on its inner side. 31, are equivalent to the statement that electric current cannot cross the object’s surface and flow into air. It has been proven that a solution satisfying one of the three types of the boundary conditions listed previously (Neumann, Dirichlet, and mixed) is unique [49, 51–53]. 23 into the appropriate boundary conditions. The integral equations may have many different forms and may involve different unknowns [51–53].
Solution: For every charge q located in the upper half-space at r = x , y , z , the effect of the ground plane is taken into account by imposing an image charge − q located in the lower half-space at ri = x , y , −z . This combination satisfies the ground plane boundary condition (tangential E-field is zero) studied next. The method of image charges is very popular in electrostatics [47–50] and even in fullwave electromagnetics such as antenna theory [32, 54]. 27 remain exactly the same. This is the key point of the Green’s function technique.
Low-Frequency Electromagnetic Modeling for Electrical and Biological Systems Using MATLAB by Sergey N. Makarov, Gregory M. Noetscher, Ara Nazarian