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Error Minimization of Diffusion Operator

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Presentation on theme: "Error Minimization of Diffusion Operator"— Presentation transcript:

1 Error Minimization of Diffusion Operator
黃耀新 (Yao-Hsin Hwang) 國立高雄海洋科技大學 輪機工程系 National Kaohsiung Marine University Department of Marine Engineering

2 Outlines Derivation of isotropic distribution
One-dimensional formulation Two-dimensional formulation Validations

3 Particle smoothing procedure
Original formulation (PS) or with

4 Accuracy analysis Taylor-series expansion Original formulation
therefore

5 Isotropic distribution(1)
Invariant after rotation Geometrical relation n=1 n=2

6 Isotropic distribution(2)
others

7 Isotropic distribution(3)
Consider We have and

8 One-dimensional formulation
First derivative Second derivative Elimination of artificial velocity

9 Two-dimensional formulation(1)
First derivative Second derivative

10 Two-dimensional formulation(2)
Elimination of artificial velocity Effective diffusivity

11 Error measure Difference between numerical and physical diffusivity tensor

12 One-parameter Based on isotropic formulation Minimization of error
which leads to and

13 Two-parameter Add cross derivative term Minimization of error
which leads to

14 Three-parameter Complete second derivative terms Consistent expression
leads to

15 1a-smooth field Solution field Resulting terms
leads to exact solution:

16 1b-operator test Solution field and particle distribution Results

17 1c-conduction Governing equation and exact solution Results

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19 1d-flow Governing equation and exact solution

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21 2a-operator test Solution field and particle distribution

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24 2b-conduction Governing equation and exact solution

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27 2c-Elliptic duct flow Governing equation and elliptical duct
Steady-state solution with

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32 2-d Fully developed temperature
Governing equation and elliptical duct Fully developed solution with

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35 2-e Flow over cylinder Governing equation Steady-state solution with

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40 2-e Flow across corner Governing equation Steady-state solution

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