Newton-Raphson Iteration in Transient Thermal Analysis

In summary, Newton-Raphson Iteration is a numerical method used to solve transient thermal analysis problems by finding the root of a function through a series of iterations. It works by making an initial guess and using partial derivatives to calculate an updated solution until a convergence criterion is met. This method is highly efficient, can handle complex geometries and non-linearities, and is commonly used in various real-world applications such as designing thermal systems and simulating manufacturing processes. However, it may not always converge if the initial guess is too far from the actual solution and requires the calculation of partial derivatives, which can be time-consuming and computationally expensive.
  • #1
Shriram
2
0
Hi,

I have been quite confused about this for sometime now. It has not been mentioned clearly in the books/references that I have looked into.

In transient thermal analysis using FEA with implicit scheme or the Crank Nicolson scheme, are there Newton Raphson iterations based on the residual vector in every time-step?

Any insights or suggestions are highly appreciated.


Thanks,
Shriram
 
Engineering news on Phys.org
  • #2
The Crank-Nicolson is a finite difference method, not a finite element method.

Have you checked your FEA programs help manual?

Thanks
Matt
 

Related to Newton-Raphson Iteration in Transient Thermal Analysis

What is Newton-Raphson Iteration in Transient Thermal Analysis?

Newton-Raphson Iteration is a numerical method used to solve transient thermal analysis problems. It is based on the principle of finding the root of a function by using a series of iterations to get closer and closer to the solution. In thermal analysis, this method is used to find the temperature distribution over time in a system.

How does Newton-Raphson Iteration work in Transient Thermal Analysis?

In Newton-Raphson Iteration, an initial guess of the solution is made, and then the algorithm uses the partial derivatives of the governing equations to calculate an updated solution. This process is repeated until a convergence criterion is met, at which point the final solution is obtained.

What are the advantages of using Newton-Raphson Iteration in Transient Thermal Analysis?

Newton-Raphson Iteration is a highly efficient method for solving transient thermal analysis problems. It can handle complex geometries and boundary conditions, and it converges quickly to a solution. Additionally, this method can handle non-linearities in the governing equations, making it a versatile tool for thermal analysis.

What are the limitations of Newton-Raphson Iteration in Transient Thermal Analysis?

While Newton-Raphson Iteration is an effective method for solving transient thermal analysis problems, it does have some limitations. It may not always converge to a solution if the initial guess is too far from the actual solution. It also requires the calculation of partial derivatives, which can be time-consuming and computationally expensive.

How is Newton-Raphson Iteration used in real-world applications?

Newton-Raphson Iteration is commonly used in the design and analysis of various thermal systems such as engines, electronic devices, and buildings. It is also used in the simulation and optimization of manufacturing processes, such as welding and casting. In addition, this method is applied to study the behavior of materials under various thermal conditions in fields such as materials science and engineering.

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