Slow Invariant Manifolds in Chemically Reactive Systems Samuel - - PowerPoint PPT Presentation

slow invariant manifolds in chemically reactive systems
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Slow Invariant Manifolds in Chemically Reactive Systems Samuel - - PowerPoint PPT Presentation

Slow Invariant Manifolds in Chemically Reactive Systems Samuel Paolucci (paolucci@nd.edu) Joseph M. Powers (powers@nd.edu) University of Notre Dame Notre Dame, Indiana 59th Annual Meeting of the APS DFD Tampa Bay, Florida 21 November 2006


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SLIDE 1

Slow Invariant Manifolds in Chemically Reactive Systems Samuel Paolucci (paolucci@nd.edu) Joseph M. Powers (powers@nd.edu) University of Notre Dame Notre Dame, Indiana 59th Annual Meeting of the APS DFD Tampa Bay, Florida 21 November 2006

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SLIDE 2

Motivation

  • Manifold methods offer a rational strategy for reducing stiff sys-

tems of detailed chemical kinetics.

  • Manifold methods are suited for spatially homogeneous systems

(ODEs), or operator split (PDEs) reactive flows.

  • Approximate methods (ILDM, CSP) cannot be used reliably for

arbitrary initial conditions.

  • Calculation of the actual Slow Invariant Manifold (SIM) can be

algorithmically easier and computationally more efficient.

  • Global phase maps identify information essential to proper use of

manifold methods.

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SLIDE 3

Zel’dovich Mechanism for NO Production

N + NO ⇀ ↽ N2 + O N + O2 ⇀ ↽ NO + O

  • spatially homogeneous,
  • isothermal and isobaric, T = 6000 K, P = 2.5 bar,
  • law of mass action with reversible Arrhenius kinetics.
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SLIDE 4

Classical Dynamic Systems Form

d[NO] dt =

  • ˙

ω[NO] = 0.72 − 9.4 × 105[NO] + 2.2 × 107[N] − 3.2 × 1013[N][NO] + 1.1 × 1013[N]2, d[N] dt =

  • ˙

ω[N] = 0.72 + 5.8 × 105[NO] − 2.3 × 107[N] − 1.0 × 1013[N][NO] − 1.1 × 1013[N]2. Algebraic constraints from element conservation absorbed into ODEs.

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SLIDE 5

Dynamical Systems Approach to Construct SIM

Finite equilibria and linear stability:

  • 1. ([NO], [N])

= (−1.6 × 10−6, −3.1 × 10−8), (λ1, λ2) = (5.4 × 106, −1.2 × 107)

saddle (unstable)

  • 2. ([NO], [N])

= (−5.2 × 10−8, −2.0 × 10−6), (λ1, λ2) = (4.4 × 107 ± 8.0 × 106i)

spiral source (unstable)

  • 3. ([NO], [N])

= (7.3 × 10−7, 3.7 × 10−8), (λ1, λ2) = (−2.1 × 106, −3.1 × 107)

sink (stable, physical) stiffness ratio = λ2/λ1 = 14.7 Equilibria at infinity and non-linear stability

  • 1. ([NO], [N])

→ (+∞, 0)

sink/saddle (unstable),

  • 2. ([NO], [N])

→ (−∞, 0)

source (unstable).

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SLIDE 6

Detailed Phase Space Map with All Finite Equilibria

  • 4
  • 3
  • 2
  • 1

1 2 x 10

  • 6
  • 20
  • 15
  • 10
  • 5

5 x 10

  • 7

[NO] (mole/cc) [N] (mole/cc) 1 2 3 SIM SIM sadd sink le l spira source

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SLIDE 7

Projected Phase Space from Poincar´ e’s Sphere

1+[N] + [NO] [NO] ____________ ___ _ ______________

2 2

1+[N] + [NO] [N] ____________ ___ _ ______________

2 2

sink saddle spiral sourc e SIM SIM

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SLIDE 8

Connections of SIM with Thermodynamics

  • Classical thermodynamics identifies equilibrium with the mini-

mum of Gibbs free energy.

  • Far from equilibrium, the Gibbs free energy potential appears to

have no value in elucidating the dynamics.

  • Non-equilibrium thermodynamics contends (Prigogine?,

, , ) that far-from-equilibrium systems relax to minimize the irre- versibility production rate.

  • We demonstrate that this is not true for the [NO] − [N]

mechanism, and thus is not true in general.

  • This is consistent with M¨

uller’s 2005 result for heat conduction.

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SLIDE 9

Physical Dissipation: Irreversibility Production Rate

4·10-7 6·10-7 8·10-7 1·10-6

[NO] (mole/cc)

2·10-8 3·10-8 4·10-8 5·10-8

[N] (mole/cc)

2.5 ·107 5·107 7.5 ·107 0-7 6·10-7 8·10-7 1·10-6

dI dt (erg/cc/K/s) __

dI dt = − 1 T

  • ˙

ω · ∇G ≥ 0. The physical dissipation rate is everywhere positive semi-definite.

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SLIDE 10

Gibbs Free Energy Gradient Magnitude

2·10-8 3·10-8 4·10-8 5·10-8 7·10-7 7.5 ·10-7 8·10-7 1·1011 3·1011 | G| (erg cc / mole) 0-8 3·10-8 4·10-8 5·10-8 ∆ [N] (mole / cc) [NO] (mole / cc)

∂ ∂ξp dI dt = − 1 T

N−L

X

k=1

∂b ˙ ωk ∂ξp ∂G ∂ξk + b ˙ ωk ∂2G ∂ξp∂ξk ! , ξ1 = [NO], ξ2 = [N].

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SLIDE 11

Irreversibility Production Rate Gradient Magnitude

2·10-8 3·10-8 4·10-8 5·10-8 7·10-7 7.5 ·10-7 8·10-7 2·1015 4·1015 0-8 3·10-8 4·10-8 5·10-8 [N] (mole/cc) [NO] (mole/cc) ∆ | dI / dt | (erg cc / K / s / mole)

|∇dI/dt| “valley” coincident with |∇G|.

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SLIDE 12

SIM vs. Irreversibility Minimization vs. ILDM

  • 1.5 ·10-6
  • 1 ·10-6
  • 5 ·10-7

5·10-7 1·10-6 1.5 ·10-6

  • 2 ·10-8

2·10-8 4·10-8 6·10-8

[NO] (mole/cc) [N] (mole/cc) SIM and ILDM locus of minimum irreversibility production rate gradient unstable saddle (1) stable sink (3) SIM

Lebiedz, 2004, uses this in a variational method.

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SLIDE 13

Conclusions

  • Global phase maps are useful in constructing the SIM.
  • Global phase maps give guidance in how to project onto the SIM.
  • Global phase maps shows when manifold-based reductions should

not be used.

  • The SIM does not coincide with either the local minima of

irreversibility production rates or Gibbs free energy, except near physical equilbrium.

  • While such potentials are valuable near equilibrium, they offer no

guidance for non-equilibriium kinetics.