Computational Electromagnetics

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COMPUTATIONAL ELECTROMAGNETICS ME02000831
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Code: ME02000831 Credits: 4 Semester 2 PS

Computational Electromagnetics

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Computational Electromagnetics Syllabus — Unit-wise Content

The official GTU curriculum for Computational Electromagnetics (subject code ME02000831) as prescribed for PS · Semester 2 divides the course into 6 units, covering 41 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (ME02000831)

Unit 1 Introduction to electromagnetic fields

6 lecture hours

  • Review of Vector Analysis: Gradient
  • curl, and their physical interpretations
  • Electric and Magnetic Potentials: Scalar and vector potentials
  • gauge transformations
  • Boundary Conditions: Continuity conditions for electric and magnetic fields
  • Maxwell's Equations: Integral and differential forms
  • physical significance
  • Diffusion and Wave Equations: Derivations and applications in electromagnetics
  • Poynting Vector: Energy flow in electromagnetic fields and power computations
  • Open and Closed boundary Numerical Methods

Unit 2 Finite Difference Method (FDM)

8 lecture hours

  • Finite Difference Schemes: Central
  • forward, and backward difference approximations
  • Treatment of Irregular Boundaries: Techniques for handling complex geometries
  • Accuracy and Stability of FD Solutions: Courant-Friedrichs-Lewy (CFL) condition
  • Finite-Difference Time-Domain (FDTD) Method: Principles
  • implementation, and applications

Unit 3 Finite Element Method (FEM)

8 lecture hours

  • Overview of FEM: Concept
  • advantages, and limitations
  • Variational and Galerkin Methods: Formulations and their relevance in FEM
  • Shape Functions: Lower-order and higher-order shape functions for FEM elements
  • Vector Elements: Nodal and edge-based vector elements. 2D and 3D Finite Elements: Application in complex geometries
  • Efficient Computations: Sparse matrix handling
  • solvers, and computational optimization

Unit 4 Method of Moments (MOM)

6 lecture hours

  • Integral Formulations: Converting differential equations into integral equations
  • Green's Functions Definitions
  • properties, and applications in electromagnetics
  • Numerical Integration: Techniques for accurate evaluation of integral equations
  • Other Integral Methods: Boundary Element Method (BEM)
  • Charge Simulation Method (CSM)

Unit 5 Special topics

8 lecture hours

  • Hybrid Methods: Combining FDM, FEM, and MOM for specific applications
  • Coupled Circuit-Field Computations: Electrical circuit integration with field models
  • Electromagnetic-Thermal Coupling: Simulating thermal effects in electromagnetic systems
  • Electromagnetic- Structural Coupling: Interaction between electromagnetic fields and mechanical structures
  • Solution of Equations: Iterative and direct solvers
  • convergence criteria

Unit 6 Applications

9 lecture hours

  • Low and High-Frequency Electrical Devices: Inductors
  • capacitors, and antennas
  • Time-Harmonic, and Transient Problems Program Name: Master of Engineering Level: PG Subject Code: ME02000831 Subject Name: Computational Electromagnetics Applications in transformers and rotating machines
  • Optimization in Design: Using computational methods for efficiency improvements
  • Emerging Applications: RF designs
  • wireless power transfer, and advanced electromagnetic devices

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