detonability of white dwarf plasma: turbulence models at … · 2020. 4. 2. · detonability of...

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Detonability of white dwarf plasma: Turbulence models at transition densities Ezra Brooker, Daniel Fenn, Tomasz Plewa Department of Scientific Computing, Florida State University Introduction: Turbulent Combustion and DDT The deflagration-to-detonation transition (DDT) mechanism has been long studied but re- mains one of the major unsolved problems of theoretical combustion. It has been directly observed in a number of laboratory experiments and has been extensively studied through numerous numerical simulations [1]. Also, astrophysicists have suspected for almost 40 years that it is directly responsible for at least a subclass of white dwarf explosions powering Type Ia supernovae (SN Ia). Astrophysical observational evidence for the DDT is, however, only indirect, which hinders progress in understanding the SN Ia explosion mechanism. Regardless of whether or not the deflagration exists, the viable explosion mechanism re- quires conditions in which the flow is energized and sizeable parcels of fuel attain a critical burning temperature. The question then is, what is the source of that energy? One possibility might be turbulence existing in the white dwarf plasma. As recently shown by Davidovits & Fisch [2], the sudden compression of viscous turbulence may lead to the rapid release of turbulent kinetic energy. In the SN Ia context this could result in the initiation of a detonation if the released energy is sufficiently large. We build upon our previous study by Fenn & Plewa [3], and consider the sensitivity of nuclear burning to the intensity of turbulence. The Model We use the compressible, inviscid Euler equations to model fluid dynamics for boh 2D and 3D models. Turbulence driving is modeled and allowed to heat the plasma through turbulent kinetic energy dissipation. Additionally, the plasma is an electron degenerate carbon/oxygen mixture with nuclear burning physics implemented in the model. The simulation begins with the fluid at rest and is spectrally driven for t = 75 ms to establish steady-state turbulence. From there, turbulent dissipation heating and nuclear burning is enabled. The system is allowed to evolve until either an oxygen detonation is produced or max simulation time is reached. The computational model uses the Proteus code (a fork of FLASH). The initial conditions for density, temperature, and composition are ρ =1 × 10 7 g/cm 3 , T =1 × 10 9 K, and 50%/50% carbon/oxygen, respectively. The max simulation time is t = 150 ms. The compressibility of driving is 50% for turbulent kinetic driving energies ranging from (1 - 4) × 10 15 erg/g/s. Results Depending on the turbulent driving energy, we find a range of behaviors from non-explosive scenarios to cases involving partially burned fuel as well as situations when complete burning occurs. Our preliminary 2D results are shown in Figure 1. For the lowest driving energies con- sidered, we found no explosive burning for several turbulent turnover times (T max < 2 × 10 9 K). As the driving energy increases, ignitions first involve only carbon (T max 3 × 10 9 K) and for still higher drive energies, oxygen is also ignited (T max (5 - 7) × 10 9 K). The sudden drop in Mach number for detonating models is due to the emergence of the detonation wave modifying the sound speed values in the data. Figure 1. Turbulent combustion models in 2D. Evolution of the root-mean-square Mach number, M RMS , and of the maximum tempera- ture, T max , are shown in the top and bottom panels, respectively, for different energies of turbulent drive, E k,d . See text for details. Figure 2. Turbulent combustion models in 3D. Evolution of the root-mean-square Mach number, M RMS , and of the maximum tempera- ture, T max , are shown in the top and bottom panels, respectively, for different energies of turbulent drive, E k,d . See text for details. In Figure 2, we see a continuation of trends seen in the 2D results of Figure 1. Both models detonate oxygen, however, the period between carbon ignition and oxygen ignition is ex- tended (the flat, plateau-like features in the temperature plot, Figure 2 bottom panel). This indicates that extensive carbon deflagration occurs prior to oxygen ignition. Figure 3. High resolution, 2D model of turbulent combustion. Temperature distribution in the model driven with E k,d =2.0 × 10 15 erg/s/cm 2 , is shown with color-contour plot during the time leading up to oxygen detonation. The detonation kernel can be seen as a small region of gradually increasing temperature located near (x, y ) (18.25, 0.5) km. Top Left) Tiny hot spot develops in center-bottom, Top Right) Hot spot grows slightly hotter and larger in size , Bottom Left) Hot spot continues to approach critical carbon ignition temperature, Bottom Right) Mild carbon ignition fully develops. Preliminary Discussion Our preliminary conclusion is that only sufficiently energetic, yet subsonic, turbulence can induce successful SN Ia explosions. We see this trend in both our 2D and 3D models. Additionally, we have observed a potential ignition mechanism in both our 2D and 3D mod- els and are currently developing a cross correlation analysis methodology to quantitatively explore our hypotheses. We are able to well resolve our 2D models spatially and tempo- rally (Figure 3, as an example) for testing the cross correlation analysis. Visual inspection indicates a correlation between compression, material mixing and carbon/oxygen ignition, as well as a reactivity gradient mechanism at play known as the Zel’dovich mechanism. The cross correlation analysis will make it easier to draw conclusions for 3D results that are sig- nificantly more difficult to visually analyze. Our future work will first involve completing the cross correlation analysis and then we will begin exploring additional sources of plasma heating, besides kinetic energy dissipation. References [1] E.S. Oran, V.N. Gamezo Origins of the deflagration-to-detonation transition in gas-phase combustion Combustion and Flame, 148, 4, 2007 [2] S. Davidovits, N.J. Fisch Compressing turbulence and sudden viscous dissipation with compression-dependent ionization state Physical Review Letters, 94, 053206, 2016 [3]D. Fenn, T. Plewa Detonability of white dwarf plasma: turbulence models at low densities Monthly Royal Notices in Astronomy, 468, 1361, 2017

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Page 1: Detonability of white dwarf plasma: Turbulence models at … · 2020. 4. 2. · Detonability of white dwarf plasma: Turbulence models at transition densities Ezra Brooker, Daniel

Detonability of white dwarf plasma:Turbulence models at transition

densitiesEzra Brooker, Daniel Fenn, Tomasz Plewa

Department of Scientific Computing, Florida State University

Introduction: Turbulent Combustion and DDT

The deflagration-to-detonation transition (DDT) mechanism has been long studied but re-mains one of the major unsolved problems of theoretical combustion. It has been directlyobserved in a number of laboratory experiments and has been extensively studied throughnumerous numerical simulations [1]. Also, astrophysicists have suspected for almost 40years that it is directly responsible for at least a subclass of white dwarf explosions poweringType Ia supernovae (SN Ia). Astrophysical observational evidence for the DDT is, however,only indirect, which hinders progress in understanding the SN Ia explosion mechanism.

Regardless of whether or not the deflagration exists, the viable explosion mechanism re-quires conditions in which the flow is energized and sizeable parcels of fuel attain a criticalburning temperature. The question then is, what is the source of that energy? One possibilitymight be turbulence existing in the white dwarf plasma. As recently shown by Davidovits &Fisch [2], the sudden compression of viscous turbulence may lead to the rapid release ofturbulent kinetic energy. In the SN Ia context this could result in the initiation of a detonationif the released energy is sufficiently large.

We build upon our previous study by Fenn & Plewa [3], and consider the sensitivity of nuclearburning to the intensity of turbulence.

The Model

We use the compressible, inviscid Euler equations to model fluid dynamics for boh 2D and3D models. Turbulence driving is modeled and allowed to heat the plasma through turbulentkinetic energy dissipation. Additionally, the plasma is an electron degenerate carbon/oxygenmixture with nuclear burning physics implemented in the model.

The simulation begins with the fluid at rest and is spectrally driven for t = 75 ms to establishsteady-state turbulence. From there, turbulent dissipation heating and nuclear burning isenabled. The system is allowed to evolve until either an oxygen detonation is produced ormax simulation time is reached.

The computational model uses the Proteus code (a fork of FLASH). The initial conditionsfor density, temperature, and composition are ρ = 1× 107 g/cm3, T = 1× 109 K, and 50%/50%carbon/oxygen, respectively. The max simulation time is t = 150 ms. The compressibility ofdriving is 50% for turbulent kinetic driving energies ranging from (1− 4)× 1015 erg/g/s.

Results

Depending on the turbulent driving energy, we find a range of behaviors from non-explosivescenarios to cases involving partially burned fuel as well as situations when complete burningoccurs. Our preliminary 2D results are shown in Figure 1. For the lowest driving energies con-sidered, we found no explosive burning for several turbulent turnover times (Tmax < 2×109 K).As the driving energy increases, ignitions first involve only carbon (Tmax ≈ 3× 109 K) and forstill higher drive energies, oxygen is also ignited (Tmax ≈ (5 − 7) × 109 K). The suddendrop in Mach number for detonating models is due to the emergence of the detonation wavemodifying the sound speed values in the data.

0.4

0.6

0.8

MRM

S

0 20 40 60 80 100 120t [ms]

109

1010

T max

[K]

Ek, d = 4.0 × 1015

Ek, d = 3.0 × 1015

Ek, d = 2.0 × 1015

Ek, d = 1.5 × 1015

Ek, d = 1.4 × 1015

Ek, d = 1.0 × 1015

Figure 1. Turbulent combustion models in 2D. Evolution of the root-mean-square Mach number, MRMS, and of the maximum tempera-

ture, Tmax, are shown in the top and bottom panels, respectively, for different energies of turbulent drive, Ek,d. See text for details.

0.3000.3250.3500.3750.4000.425

MRM

S100 105 110 115 120 125 130 135

t [ms]

109

1010

T max

[K]

Ek = 1.3 × 1015

Ek = 1.1 × 1015

Figure 2. Turbulent combustion models in 3D. Evolution of the root-mean-square Mach number, MRMS, and of the maximum tempera-

ture, Tmax, are shown in the top and bottom panels, respectively, for different energies of turbulent drive, Ek,d. See text for details.

In Figure 2, we see a continuation of trends seen in the 2D results of Figure 1. Both modelsdetonate oxygen, however, the period between carbon ignition and oxygen ignition is ex-tended (the flat, plateau-like features in the temperature plot, Figure 2 bottom panel). Thisindicates that extensive carbon deflagration occurs prior to oxygen ignition.

Figure 3. High resolution, 2D model of turbulent combustion. Temperature distribution in the model driven with Ek,d = 2.0 ×

1015 erg/s/cm2, is shown with color-contour plot during the time leading up to oxygen detonation. The detonation kernel can be

seen as a small region of gradually increasing temperature located near (x, y) ≈ (18.25, 0.5) km. Top Left) Tiny hot spot develops in

center-bottom, Top Right) Hot spot grows slightly hotter and larger in size , Bottom Left) Hot spot continues to approach critical carbon

ignition temperature, Bottom Right) Mild carbon ignition fully develops.

Preliminary Discussion

Our preliminary conclusion is that only sufficiently energetic, yet subsonic, turbulence caninduce successful SN Ia explosions. We see this trend in both our 2D and 3D models.

Additionally, we have observed a potential ignition mechanism in both our 2D and 3D mod-els and are currently developing a cross correlation analysis methodology to quantitativelyexplore our hypotheses. We are able to well resolve our 2D models spatially and tempo-rally (Figure 3, as an example) for testing the cross correlation analysis. Visual inspectionindicates a correlation between compression, material mixing and carbon/oxygen ignition, aswell as a reactivity gradient mechanism at play known as the Zel’dovich mechanism. Thecross correlation analysis will make it easier to draw conclusions for 3D results that are sig-nificantly more difficult to visually analyze.

Our future work will first involve completing the cross correlation analysis and then we willbegin exploring additional sources of plasma heating, besides kinetic energy dissipation.

References

[1] E.S. Oran, V.N. Gamezo Origins of the deflagration-to-detonation transition in gas-phase combustion Combustion and Flame,148, 4, 2007

[2] S. Davidovits, N.J. Fisch Compressing turbulence and sudden viscous dissipation with compression-dependent ionization statePhysical Review Letters, 94, 053206, 2016

[3] D. Fenn, T. Plewa Detonability of white dwarf plasma: turbulence models at low densities Monthly Royal Notices in Astronomy,468, 1361, 2017