In summary, the conversation discusses the use of the finite element method (FEM) to numerically calculate the electric potential inside a truncated cone. The cone is embedded in cylindrical coordinates and the problem is assumed to be 2D due to phi-independence. The speaker has experience with FEM in 2D using cartesian coordinates and is seeking advice on how to apply it in 3D using cylindrical coordinates. The proposed solution involves considering a vertical cross-section of the cone and treating it like a Cartesian 2D case. It is suggested to transform the equations from 2D Cartesian to 2D cylindrical and discretize them using conventional finite element techniques.
  • #1
colinven
10
0
I am trying to numerically calculate the electric potential inside a truncated cone using the finite element method (FEM). The cone is embedded in cylindrical coordinates (r,phi,z). I am assuming phi-independence on the potential, therefore the problem is essentially 2D; I am working only with coordinates (r,z).

I know how to do FEM in 2D using cartesian coordinates. Do any of you know how to do FEM in 3D using cylindrical coordinates; with a domain that is essentially 2D?
 
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  • #2
I am not sure if this would work, but here is the idea: Consider a vertical cross-section of the cone. It will look like a triangle. The solution on the left side of the triangle will be the same as on the right, so consider just the right side. This triangle has coordinates that look just like Cartesian x,y coordinates, except with x replaced by r and y replaced by z. Your differential equation will not have any ## \phi ## dependence. So treat it just like the Cartesian 2D case that you already know how to solve. Set up a triangular FE grid, use the 2D hat functions, etc.
 
  • #3
You need to transform your equations from 2d Cartesian to 2d cylindrical, taking care on all the differential operators (not sure what equations you're using). You can then discretise these using conventional finite element techniques (e.g galerkin or similar). Note: Cartesian xy will yield different solutions to rz
 

What is Finite Element Analysis in Cylindrical Coordinates?

Finite Element Analysis (FEA) in cylindrical coordinates is a numerical method used to solve problems in engineering and science. It involves dividing a complex structure or system into smaller, more manageable elements, and then using mathematical equations to analyze and predict its behavior under different conditions.

Why is Finite Element Analysis in Cylindrical Coordinates important?

FEA in cylindrical coordinates allows scientists and engineers to simulate and study the behavior of complex systems and structures that cannot be easily analyzed using traditional analytical methods. It is an essential tool for designing and optimizing various products and processes, such as mechanical components, electrical systems, and fluid flow systems.

What are the steps involved in performing Finite Element Analysis in Cylindrical Coordinates?

The first step in FEA is to create a finite element model of the system or structure being analyzed. This involves dividing the geometry into smaller elements and assigning material properties and boundary conditions. Next, the governing equations for each element are solved to obtain approximate solutions for the entire system. The results are then post-processed and analyzed to evaluate the system's performance.

What are the benefits of using Finite Element Analysis in Cylindrical Coordinates?

FEA in cylindrical coordinates offers several advantages, including the ability to analyze complex geometries, account for material nonlinearity, and predict the behavior of the system under different loading conditions. It also allows for cost and time savings by reducing the need for physical prototypes and testing.

What are some challenges of Finite Element Analysis in Cylindrical Coordinates?

One of the main challenges of FEA in cylindrical coordinates is the complexity of the mathematical equations involved. It requires a strong understanding of numerical methods and programming skills to create an accurate and efficient model. Additionally, the accuracy of the results depends on the quality of the finite element mesh, which can be time-consuming and challenging to generate for complex geometries.

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