Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253K) Conclusions
Natural convection-driven evaporation and the Mpemba effect
M. Vynnycky
Mathematics Applications Consortium for Science and Industry (MACSI), Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland
University of Brighton, 8 May 2012 Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Outline of my talk
Short history and background Prof. Maeno’s experiment (Hokkaido University) Mathematical model for the experiment Results Conclusions Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Outline of my talk
Short history and background Prof. Maeno’s experiment (Hokkaido University) Mathematical model for the experiment Results Conclusions Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Outline of my talk
Short history and background Prof. Maeno’s experiment (Hokkaido University) Mathematical model for the experiment Results Conclusions Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Outline of my talk
Short history and background Prof. Maeno’s experiment (Hokkaido University) Mathematical model for the experiment Results Conclusions Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Outline of my talk
Short history and background Prof. Maeno’s experiment (Hokkaido University) Mathematical model for the experiment Results Conclusions Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Outline of my talk
Short history and background Prof. Maeno’s experiment (Hokkaido University) Mathematical model for the experiment Results Conclusions Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Background
Hot water can freeze faster than cold water Observed by Aristotle, Bacon and Descartes Rediscovered in the 20th century by Erasto Mpemba (whilst making ice-cream at school in Tanzania) Proposed mechanisms: evaporative cooling, effect of dissolved gases, supercooling, natural convection Review by Jeng1 highlights difficulties with: definition of problem; interpretation of experimental results Further confusion because: the effect may not occur at all under certain conditions; when it occurs, it might be due to a combination of mechanisms Surprisingly, next to no models exist 1 Jeng, M., The Mpemba effect: when can hot water freeze faster than cold?, American Journal of Physics, 74 (2006) 514-522 Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Background
Hot water can freeze faster than cold water Observed by Aristotle, Bacon and Descartes Rediscovered in the 20th century by Erasto Mpemba (whilst making ice-cream at school in Tanzania) Proposed mechanisms: evaporative cooling, effect of dissolved gases, supercooling, natural convection Review by Jeng1 highlights difficulties with: definition of problem; interpretation of experimental results Further confusion because: the effect may not occur at all under certain conditions; when it occurs, it might be due to a combination of mechanisms Surprisingly, next to no models exist 1 Jeng, M., The Mpemba effect: when can hot water freeze faster than cold?, American Journal of Physics, 74 (2006) 514-522 Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Background
Hot water can freeze faster than cold water Observed by Aristotle, Bacon and Descartes Rediscovered in the 20th century by Erasto Mpemba (whilst making ice-cream at school in Tanzania) Proposed mechanisms: evaporative cooling, effect of dissolved gases, supercooling, natural convection Review by Jeng1 highlights difficulties with: definition of problem; interpretation of experimental results Further confusion because: the effect may not occur at all under certain conditions; when it occurs, it might be due to a combination of mechanisms Surprisingly, next to no models exist 1 Jeng, M., The Mpemba effect: when can hot water freeze faster than cold?, American Journal of Physics, 74 (2006) 514-522 Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Background
Hot water can freeze faster than cold water Observed by Aristotle, Bacon and Descartes Rediscovered in the 20th century by Erasto Mpemba (whilst making ice-cream at school in Tanzania) Proposed mechanisms: evaporative cooling, effect of dissolved gases, supercooling, natural convection Review by Jeng1 highlights difficulties with: definition of problem; interpretation of experimental results Further confusion because: the effect may not occur at all under certain conditions; when it occurs, it might be due to a combination of mechanisms Surprisingly, next to no models exist 1 Jeng, M., The Mpemba effect: when can hot water freeze faster than cold?, American Journal of Physics, 74 (2006) 514-522 Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Background
Hot water can freeze faster than cold water Observed by Aristotle, Bacon and Descartes Rediscovered in the 20th century by Erasto Mpemba (whilst making ice-cream at school in Tanzania) Proposed mechanisms: evaporative cooling, effect of dissolved gases, supercooling, natural convection Review by Jeng1 highlights difficulties with: definition of problem; interpretation of experimental results Further confusion because: the effect may not occur at all under certain conditions; when it occurs, it might be due to a combination of mechanisms Surprisingly, next to no models exist 1 Jeng, M., The Mpemba effect: when can hot water freeze faster than cold?, American Journal of Physics, 74 (2006) 514-522 Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Background
Hot water can freeze faster than cold water Observed by Aristotle, Bacon and Descartes Rediscovered in the 20th century by Erasto Mpemba (whilst making ice-cream at school in Tanzania) Proposed mechanisms: evaporative cooling, effect of dissolved gases, supercooling, natural convection Review by Jeng1 highlights difficulties with: definition of problem; interpretation of experimental results Further confusion because: the effect may not occur at all under certain conditions; when it occurs, it might be due to a combination of mechanisms Surprisingly, next to no models exist 1 Jeng, M., The Mpemba effect: when can hot water freeze faster than cold?, American Journal of Physics, 74 (2006) 514-522 Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Background
Hot water can freeze faster than cold water Observed by Aristotle, Bacon and Descartes Rediscovered in the 20th century by Erasto Mpemba (whilst making ice-cream at school in Tanzania) Proposed mechanisms: evaporative cooling, effect of dissolved gases, supercooling, natural convection Review by Jeng1 highlights difficulties with: definition of problem; interpretation of experimental results Further confusion because: the effect may not occur at all under certain conditions; when it occurs, it might be due to a combination of mechanisms Surprisingly, next to no models exist 1 Jeng, M., The Mpemba effect: when can hot water freeze faster than cold?, American Journal of Physics, 74 (2006) 514-522 Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Background
Hot water can freeze faster than cold water Observed by Aristotle, Bacon and Descartes Rediscovered in the 20th century by Erasto Mpemba (whilst making ice-cream at school in Tanzania) Proposed mechanisms: evaporative cooling, effect of dissolved gases, supercooling, natural convection Review by Jeng1 highlights difficulties with: definition of problem; interpretation of experimental results Further confusion because: the effect may not occur at all under certain conditions; when it occurs, it might be due to a combination of mechanisms Surprisingly, next to no models exist 1 Jeng, M., The Mpemba effect: when can hot water freeze faster than cold?, American Journal of Physics, 74 (2006) 514-522 Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Evaporative cooling
Lumped-mass model (0-D) by Kell2 Recently re-analyzed3 We want to move towards 1D,2D,3D models Consider Prof. Maeno’s experiment4
2 Kell, G. S., The freezing of hot and cold water, American Journal of Physics, 37 (1969) 564-565 3 Vynnycky M. and Mitchell S. L., Evaporative cooling and the Mpemba effect, Heat and Mass Transfer, 46 (2010) 881-890 4 N. Maeno, S. Takahashi, A. Sato, Y. Kominami, H. Konishi, S. Omiya, Verification experiments of Mpemba effect, Seppyo 74 (2012) 1-13. Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Evaporative cooling
Lumped-mass model (0-D) by Kell2 Recently re-analyzed3 We want to move towards 1D,2D,3D models Consider Prof. Maeno’s experiment4
2 Kell, G. S., The freezing of hot and cold water, American Journal of Physics, 37 (1969) 564-565 3 Vynnycky M. and Mitchell S. L., Evaporative cooling and the Mpemba effect, Heat and Mass Transfer, 46 (2010) 881-890 4 N. Maeno, S. Takahashi, A. Sato, Y. Kominami, H. Konishi, S. Omiya, Verification experiments of Mpemba effect, Seppyo 74 (2012) 1-13. Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Evaporative cooling
Lumped-mass model (0-D) by Kell2 Recently re-analyzed3 We want to move towards 1D,2D,3D models Consider Prof. Maeno’s experiment4
2 Kell, G. S., The freezing of hot and cold water, American Journal of Physics, 37 (1969) 564-565 3 Vynnycky M. and Mitchell S. L., Evaporative cooling and the Mpemba effect, Heat and Mass Transfer, 46 (2010) 881-890 4 N. Maeno, S. Takahashi, A. Sato, Y. Kominami, H. Konishi, S. Omiya, Verification experiments of Mpemba effect, Seppyo 74 (2012) 1-13. Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Evaporative cooling
Lumped-mass model (0-D) by Kell2 Recently re-analyzed3 We want to move towards 1D,2D,3D models Consider Prof. Maeno’s experiment4
2 Kell, G. S., The freezing of hot and cold water, American Journal of Physics, 37 (1969) 564-565 3 Vynnycky M. and Mitchell S. L., Evaporative cooling and the Mpemba effect, Heat and Mass Transfer, 46 (2010) 881-890 4 N. Maeno, S. Takahashi, A. Sato, Y. Kominami, H. Konishi, S. Omiya, Verification experiments of Mpemba effect, Seppyo 74 (2012) 1-13. Introduction Prof. Maeno’sexperiment Mathematicalmodel Modelresults (Tcold =253K) Conclusions
Evaporative cooling
Lumped-mass model (0-D) by Kell2 Recently re-analyzed3 We want to move towards 1D,2D,3D models Consider Prof. Maeno’s experiment4
2 Kell, G. S., The freezing of hot and cold water, American Journal of Physics, 37 (1969) 564-565 3 Vynnycky M. and Mitchell S. L., Evaporative cooling and the Mpemba effect, Heat and Mass Transfer, 46 (2010) 881-890 4 N. Maeno, S. Takahashi, A. Sato, Y. Kominami, H. Konishi, S. Omiya, Verification experiments of Mpemba effect, Seppyo 74 (2012) 1-13. Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
Configuration
Styrofoam, three suspended thermocouples, holes containing hot and cool water, TWINBIRD SCDF25 deep freezer Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
Schematic Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
Some experimental results (I)
350
340
330
320
310 hot water
300 Temperature [K] 290 cool water
280
270 0 500 1000 1500 2000 2500 Time [s]
The temperature recorded at the uppermost thermocouple vs. time. The initial water temperatures are 348 K and 310 K, and the surrounding air temperature is 263 K (No Mpemba effect). Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
Some experimental results (II)
360
350
340
330
320
310 hot water
Temperature [K] 300 cool water 290
280
270 0 500 1000 1500 2000 2500 Time [s]
The temperature recorded at the uppermost thermocouple vs. time. The initial water temperatures are 351 K and 318 K, and the surrounding air temperature is 260 K (Mpemba effect!). Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
Some experimental results (III)
360
350
340
330
320
310 hot water
Temperature [K] 300
290 cool water
280
270 0 500 1000 1500 2000 2500 Time [s]
The temperature recorded at the centre thermocouple vs. time. The initial water temperatures are 348 K and 310 K, and the surrounding air temperature is 263 K (No Mpemba effect). Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
Some experimental results (IV)
350
340
330
320
310 hot water
300 Temperature [K] cool water 290
280
270 0 500 1000 1500 2000 2500 Time [s]
The temperature recorded at the uppermost thermocouple vs. time. The initial water temperatures are 351 K and 318 K, and the surrounding air temperature is 260 K (Mpemba effect!). Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
Some experimental results (V)
360
350
340
330
320
310 hot water
Temperature [K] 300
290 cool water
280
270 0 500 1000 1500 2000 2500 Time [s]
The temperature recorded at the lowest thermocouple vs. time. The initial water temperatures are 348 K and 310 K, and the surrounding air temperature is 263 K (No Mpemba effect). Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
Some experimental results (VI)
360
350
340
330
320
310 hot water
Temperature [K] 300 cool water 290
280
270 0 500 1000 1500 2000 2500 Time [s]
The temperature recorded at the lowest thermocouple vs. time. The initial water temperatures are 351 K and 318 K, and the surrounding air temperature is 260 K (Mpemba effect!). Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
Yu-to-Mizu-Kurabe diagram
102 C]
◦ 348K/310K/263K
101
100 351K/318K/260K Temperature of hot water [
10−1 10−1 100 101 102 Temperature of cool water [◦C]
Each curve in the diagram denotes a hot and cool water pair, indicating hot water/cool water/air cooling temperatures). The Mpemba effect occurs if a curve goes below the diagonal line. Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
General comments on experiments
Water at a given initial temperature and exposed to a given ambient temperature did not necessarily take the same amount of time to reach freezing point Consequently, it is difficult to reproduce the Mpemba effect with this experiment, although it seems to be there We try to interpret the results with a mathematical model Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
General comments on experiments
Water at a given initial temperature and exposed to a given ambient temperature did not necessarily take the same amount of time to reach freezing point Consequently, it is difficult to reproduce the Mpemba effect with this experiment, although it seems to be there We try to interpret the results with a mathematical model Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
General comments on experiments
Water at a given initial temperature and exposed to a given ambient temperature did not necessarily take the same amount of time to reach freezing point Consequently, it is difficult to reproduce the Mpemba effect with this experiment, although it seems to be there We try to interpret the results with a mathematical model Introduction Prof. Maeno’s experiment Mathematicalmodel Modelresults(Tcold =253K) Conclusions
General comments on experiments
Water at a given initial temperature and exposed to a given ambient temperature did not necessarily take the same amount of time to reach freezing point Consequently, it is difficult to reproduce the Mpemba effect with this experiment, although it seems to be there We try to interpret the results with a mathematical model Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
What to model?
(A) Natural convection of air/water vapour mixture above the liquid water (B) Natural convection of the liquid water itself (C) The downward motion of the gas/water interface as water evaporates from the liquid pool (D) Thermal radiation from the pool surface Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
What to model?
(A) Natural convection of air/water vapour mixture above the liquid water (B) Natural convection of the liquid water itself (C) The downward motion of the gas/water interface as water evaporates from the liquid pool (D) Thermal radiation from the pool surface Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
What to model?
(A) Natural convection of air/water vapour mixture above the liquid water (B) Natural convection of the liquid water itself (C) The downward motion of the gas/water interface as water evaporates from the liquid pool (D) Thermal radiation from the pool surface Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
What to model?
(A) Natural convection of air/water vapour mixture above the liquid water (B) Natural convection of the liquid water itself (C) The downward motion of the gas/water interface as water evaporates from the liquid pool (D) Thermal radiation from the pool surface Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
What to model?
(A) Natural convection of air/water vapour mixture above the liquid water (B) Natural convection of the liquid water itself (C) The downward motion of the gas/water interface as water evaporates from the liquid pool (D) Thermal radiation from the pool surface Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Natural convection-driven evaporation
AIR z
r (a) the AIR + AIR + WATER VAPOUR WATER VAPOUR evaporation of a
WATER cold water into
(a) hotter air
AIR + z WATER VAPOUR (b) the evaporation of r hot water into AIR AIR a colder air
WATER
(b) Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Natural convection-driven evaporation
AIR z
r (a) the AIR + AIR + WATER VAPOUR WATER VAPOUR evaporation of a
WATER cold water into
(a) hotter air
AIR + z WATER VAPOUR (b) the evaporation of r hot water into AIR AIR a colder air
WATER
(b) Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Natural convection-driven evaporation
AIR z
r (a) the AIR + AIR + WATER VAPOUR WATER VAPOUR evaporation of a
WATER cold water into
(a) hotter air
AIR + z WATER VAPOUR (b) the evaporation of r hot water into AIR AIR a colder air
WATER
(b) Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Hot water, cold air
vertical plume
boundary layer
water Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (I)
Axisymmetry Computational fluid dynamics (CFD) for a full model Moving boundary problem Laminar flow: Rayleigh numbers for the air/water vapour 6 mixture and the water (Rag and Ral ) are around 10 The water vapour is not dilute in the air; hence, we need the full Stefan-Maxwell equations for binary diffusion and convection Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (I)
Axisymmetry Computational fluid dynamics (CFD) for a full model Moving boundary problem Laminar flow: Rayleigh numbers for the air/water vapour 6 mixture and the water (Rag and Ral ) are around 10 The water vapour is not dilute in the air; hence, we need the full Stefan-Maxwell equations for binary diffusion and convection Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (I)
Axisymmetry Computational fluid dynamics (CFD) for a full model Moving boundary problem Laminar flow: Rayleigh numbers for the air/water vapour 6 mixture and the water (Rag and Ral ) are around 10 The water vapour is not dilute in the air; hence, we need the full Stefan-Maxwell equations for binary diffusion and convection Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (I)
Axisymmetry Computational fluid dynamics (CFD) for a full model Moving boundary problem Laminar flow: Rayleigh numbers for the air/water vapour 6 mixture and the water (Rag and Ral ) are around 10 The water vapour is not dilute in the air; hence, we need the full Stefan-Maxwell equations for binary diffusion and convection Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (I)
Axisymmetry Computational fluid dynamics (CFD) for a full model Moving boundary problem Laminar flow: Rayleigh numbers for the air/water vapour 6 mixture and the water (Rag and Ral ) are around 10 The water vapour is not dilute in the air; hence, we need the full Stefan-Maxwell equations for binary diffusion and convection Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (I)
Axisymmetry Computational fluid dynamics (CFD) for a full model Moving boundary problem Laminar flow: Rayleigh numbers for the air/water vapour 6 mixture and the water (Rag and Ral ) are around 10 The water vapour is not dilute in the air; hence, we need the full Stefan-Maxwell equations for binary diffusion and convection Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (II)
Earlier computations 5 suggest that thermally insulating boundary conditions give (more or less) conduction only in the water, even though Ral is nominally high So we aim for 1D conduction in the water; however, the water is cooled and evaporates due to the boundary layer We need to find the Nusselt and Sherwood numbers for flow past a horizontal hot circular disk The boundary layer is known qualitatively to be of thickness −1/5 Rag for horizontal surfaces; however, the computations have never been done before, i.e. we have to do them
5 Vynnycky, M. and Kimura, S., Towards a natural-convection model for the Mpemba effect, Proceedings of the 19th International Symposium on Transport Phenomena, Reykjavik, Iceland, 17-20 August 2008, Paper 216 (CD-ROM). Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (II)
Earlier computations 5 suggest that thermally insulating boundary conditions give (more or less) conduction only in the water, even though Ral is nominally high So we aim for 1D conduction in the water; however, the water is cooled and evaporates due to the boundary layer We need to find the Nusselt and Sherwood numbers for flow past a horizontal hot circular disk The boundary layer is known qualitatively to be of thickness −1/5 Rag for horizontal surfaces; however, the computations have never been done before, i.e. we have to do them
5 Vynnycky, M. and Kimura, S., Towards a natural-convection model for the Mpemba effect, Proceedings of the 19th International Symposium on Transport Phenomena, Reykjavik, Iceland, 17-20 August 2008, Paper 216 (CD-ROM). Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (II)
Earlier computations 5 suggest that thermally insulating boundary conditions give (more or less) conduction only in the water, even though Ral is nominally high So we aim for 1D conduction in the water; however, the water is cooled and evaporates due to the boundary layer We need to find the Nusselt and Sherwood numbers for flow past a horizontal hot circular disk The boundary layer is known qualitatively to be of thickness −1/5 Rag for horizontal surfaces; however, the computations have never been done before, i.e. we have to do them
5 Vynnycky, M. and Kimura, S., Towards a natural-convection model for the Mpemba effect, Proceedings of the 19th International Symposium on Transport Phenomena, Reykjavik, Iceland, 17-20 August 2008, Paper 216 (CD-ROM). Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (II)
Earlier computations 5 suggest that thermally insulating boundary conditions give (more or less) conduction only in the water, even though Ral is nominally high So we aim for 1D conduction in the water; however, the water is cooled and evaporates due to the boundary layer We need to find the Nusselt and Sherwood numbers for flow past a horizontal hot circular disk The boundary layer is known qualitatively to be of thickness −1/5 Rag for horizontal surfaces; however, the computations have never been done before, i.e. we have to do them
5 Vynnycky, M. and Kimura, S., Towards a natural-convection model for the Mpemba effect, Proceedings of the 19th International Symposium on Transport Phenomena, Reykjavik, Iceland, 17-20 August 2008, Paper 216 (CD-ROM). Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (II)
Earlier computations 5 suggest that thermally insulating boundary conditions give (more or less) conduction only in the water, even though Ral is nominally high So we aim for 1D conduction in the water; however, the water is cooled and evaporates due to the boundary layer We need to find the Nusselt and Sherwood numbers for flow past a horizontal hot circular disk The boundary layer is known qualitatively to be of thickness −1/5 Rag for horizontal surfaces; however, the computations have never been done before, i.e. we have to do them
5 Vynnycky, M. and Kimura, S., Towards a natural-convection model for the Mpemba effect, Proceedings of the 19th International Symposium on Transport Phenomena, Reykjavik, Iceland, 17-20 August 2008, Paper 216 (CD-ROM). Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (III)
The velocity in the boundary layer is mass-averaged Dufour effect (diffusion thermo): species diffusion affects heat transfer ‘Blowing’ effect, i.e. the normal velocity at the gas-water interface is non-zero Cooling time scale is much longer than the boundary-layer convection time scale; hence, the boundary layer appears as if quasi-steady Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (III)
The velocity in the boundary layer is mass-averaged Dufour effect (diffusion thermo): species diffusion affects heat transfer ‘Blowing’ effect, i.e. the normal velocity at the gas-water interface is non-zero Cooling time scale is much longer than the boundary-layer convection time scale; hence, the boundary layer appears as if quasi-steady Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (III)
The velocity in the boundary layer is mass-averaged Dufour effect (diffusion thermo): species diffusion affects heat transfer ‘Blowing’ effect, i.e. the normal velocity at the gas-water interface is non-zero Cooling time scale is much longer than the boundary-layer convection time scale; hence, the boundary layer appears as if quasi-steady Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (III)
The velocity in the boundary layer is mass-averaged Dufour effect (diffusion thermo): species diffusion affects heat transfer ‘Blowing’ effect, i.e. the normal velocity at the gas-water interface is non-zero Cooling time scale is much longer than the boundary-layer convection time scale; hence, the boundary layer appears as if quasi-steady Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Modelling considerations (III)
The velocity in the boundary layer is mass-averaged Dufour effect (diffusion thermo): species diffusion affects heat transfer ‘Blowing’ effect, i.e. the normal velocity at the gas-water interface is non-zero Cooling time scale is much longer than the boundary-layer convection time scale; hence, the boundary layer appears as if quasi-steady Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Flow structure
vertical plume
boundary layer
water
Velocity vectors, and boundary-layer and vertical plume structure Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Governing equations (water)
∂ρ(l) + ∇ · ρ(l)u(l) = 0, (1) ∂t ∂u(l) ρ(l) + u(l) ·∇ u(l) = −∇p(l) + µ(l)∇2u(l) − ρ(l)gk, ∂t ! (2) ∂T ρ(l)c(l) + u(l) ·∇T = ∇ · k (l)∇T . (3) p ∂t Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Governing equations (gas phase above the water): I
Conservation of species:
∂ (g) ρ ωa + ∇ · na = 0, (4) ∂t ∂ (g) ρ ωw + ∇ · nw = 0, (5) ∂t where (g) (g) ni = ρ ωi u +ji , i = a, w; (6) (g) na and nw are the air and water vapour mass fluxes, ρ is the (g) mixture density, ωi is the mass fraction, u is the mass-averaged velocity and the vector ji describes the diffusion-driven transport. Also, ωa + ωw = 1. Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Governing equations (gas phase above the water): II
Conservation of momentum:
∂u(g) ρ(g) + u(g) ·∇ u(g) = ∇ · σ(g) − ρ(g)gk, (7) ∂t ! where σ is the total stress tensor, given by
tr 2 σ(g) = −p(g)I+µ(g) ∇u(g) + ∇u(g) − µ(g) ∇ · u(g) I. (8) 3 Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Governing equations (gas phase above the water): III
Conservation of heat: ∂T ρ(g)c(g) + c(g)n + c(g) n ·∇T = ∇ · k (g)∇T , (9) p ∂t p,a a p,w w (g) where cp,i for i = a, w are the specific heat capacities for each (g) species, cp is given by
(g) (g) (g) cp = cp,aωa + cp,w ωw ,
and k (g) is the mixture thermal conductivity, which will also, in general, depend on the local mass fraction and temperature. Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Strategy
Solve (A) to find Nu = Nu(Rag), Sh = Sh(Rag); steady-state boundary layer equations6 Neglect (B); just assume conduction in the water Solve for (C) and (D) with a 1D Stefan problem7
6 M. Vynnycky and N. Maeno, Axisymmetric natural convection-driven evaporation of water: analysis and numerical solution, submitted to Int. J. Heat Mass Tran. (2012) 7 M. Vynnycky and N. Maeno, Axisymmetric natural convection-driven evaporation of hot water and the Mpemba effect, submitted to Int. J. Heat Mass Tran. (2012) Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Strategy
Solve (A) to find Nu = Nu(Rag), Sh = Sh(Rag); steady-state boundary layer equations6 Neglect (B); just assume conduction in the water Solve for (C) and (D) with a 1D Stefan problem7
6 M. Vynnycky and N. Maeno, Axisymmetric natural convection-driven evaporation of water: analysis and numerical solution, submitted to Int. J. Heat Mass Tran. (2012) 7 M. Vynnycky and N. Maeno, Axisymmetric natural convection-driven evaporation of hot water and the Mpemba effect, submitted to Int. J. Heat Mass Tran. (2012) Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Strategy
Solve (A) to find Nu = Nu(Rag), Sh = Sh(Rag); steady-state boundary layer equations6 Neglect (B); just assume conduction in the water Solve for (C) and (D) with a 1D Stefan problem7
6 M. Vynnycky and N. Maeno, Axisymmetric natural convection-driven evaporation of water: analysis and numerical solution, submitted to Int. J. Heat Mass Tran. (2012) 7 M. Vynnycky and N. Maeno, Axisymmetric natural convection-driven evaporation of hot water and the Mpemba effect, submitted to Int. J. Heat Mass Tran. (2012) Introduction Prof. Maeno’sexperiment Mathematical model Model results (Tcold =253K) Conclusions
Strategy
Solve (A) to find Nu = Nu(Rag), Sh = Sh(Rag); steady-state boundary layer equations6 Neglect (B); just assume conduction in the water Solve for (C) and (D) with a 1D Stefan problem7
6 M. Vynnycky and N. Maeno, Axisymmetric natural convection-driven evaporation of water: analysis and numerical solution, submitted to Int. J. Heat Mass Tran. (2012) 7 M. Vynnycky and N. Maeno, Axisymmetric natural convection-driven evaporation of hot water and the Mpemba effect, submitted to Int. J. Heat Mass Tran. (2012) Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Time to reach freezing (t0) vs initial water temperature (Tw,i )
8000
7000
6000
5000
[s] 4000 0 t
3000
2000 Tcold = 253 K Tcold = 258 K 1000 Tcold = 263 K Tcold = 268 K 0 260 280 300 320 340 360 380 Tw,i [K] Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Water height at t0 (h0) vs Tw,i
10
9
8
Tcold = 253 K
[mm] 7
0 Tcold = 258 K h Tcold = 263 K 6 Tcold = 268 K
5
4 260 280 300 320 340 360 380 Tw,i [K] Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Water height (h) vs time (t) for different Tw,i
10
9.5
9
8.5 [mm] h
8 Tw,i = 303 K Tw,i = 320 K Tw,i = 337 K 7.5 Tw,i = 354 K
7 0 1000 2000 3000 4000 5000 t [s] Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Surface temperature (Thot ) vs t for different Tw,i
360
350 Tw,i = 303 K 340 Tw,i = 320 K T = 337 K 330 w,i Tw,i = 354 K 320 [K] hot
T 310
300
290
280
270 0 1000 2000 3000 4000 5000 t [s] Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Water temperature (T ) vs distance from base (z)
320
315
310
305
300 − [K] t/[t]= 10 2 T 295 t/[t]= 10−1 t/[t]= 1 290
285
280
275 0 2 4 6 8 10 z [mm] Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Temperature difference (bottom-top, ∆T ) vs t for different Tw,i
9
8
7 Tw,i = 303 K 6 Tw,i = 320 K T = 337 K 5 w,i [K] Tw,i = 354 K T
∆ 4
3
2
1
0 0 1000 2000 3000 4000 5000 t [s] Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Comparison with experiment (I)
100
90 Mpemba effect
80
70
60
50
40
30 Temperature of hot water [C]
20 310/348/263 (no) 318/351/260 (yes) 10 T_{cold}=253 K T_{cold}=263 K 0 20 40 60 80 100 Temperature of cool water [C]
The number of possible hot/cool water pairs increases with Tcold . However, the model predicts that the Mpemba effect should be seen for both experiments, whereas it was actually seen for only one of them. Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Comparison with experiment (II)
Model overestimates time taken to reach freezing point, although order of magnitude is correct The inclusion of thermal radiation is necessary to ensure that freezing time is not highly overestimated Model doesn’t seem to capture the sensitivity of the experiments with respect to t0
At higher values of Tw,i, the model gives higher-than-observed levels of evaporation Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Comparison with experiment (II)
Model overestimates time taken to reach freezing point, although order of magnitude is correct The inclusion of thermal radiation is necessary to ensure that freezing time is not highly overestimated Model doesn’t seem to capture the sensitivity of the experiments with respect to t0
At higher values of Tw,i, the model gives higher-than-observed levels of evaporation Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Comparison with experiment (II)
Model overestimates time taken to reach freezing point, although order of magnitude is correct The inclusion of thermal radiation is necessary to ensure that freezing time is not highly overestimated Model doesn’t seem to capture the sensitivity of the experiments with respect to t0
At higher values of Tw,i, the model gives higher-than-observed levels of evaporation Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Comparison with experiment (II)
Model overestimates time taken to reach freezing point, although order of magnitude is correct The inclusion of thermal radiation is necessary to ensure that freezing time is not highly overestimated Model doesn’t seem to capture the sensitivity of the experiments with respect to t0
At higher values of Tw,i, the model gives higher-than-observed levels of evaporation Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Comparison with experiment (II)
Model overestimates time taken to reach freezing point, although order of magnitude is correct The inclusion of thermal radiation is necessary to ensure that freezing time is not highly overestimated Model doesn’t seem to capture the sensitivity of the experiments with respect to t0
At higher values of Tw,i, the model gives higher-than-observed levels of evaporation Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
‘Over-evaporation’
INSULATION INSULATION WATER
Schematic of possible flow streamlines as water evaporates Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Conclusions
Experiment and model, and the agreement between them, is far from perfect Experimental results seem to be highly irreproducible; sometimes, the Mpemba effect is seen, sometimes not The model shows the Mpemba effect, although it may be less valid when more of the water evaporates, due to simplifying assumptions A better (more difficult) model requires CFD to solve simultaneously for convection in the water flow, multicomponent flow in the boundary layer and the movement of the evaporation front Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Conclusions
Experiment and model, and the agreement between them, is far from perfect Experimental results seem to be highly irreproducible; sometimes, the Mpemba effect is seen, sometimes not The model shows the Mpemba effect, although it may be less valid when more of the water evaporates, due to simplifying assumptions A better (more difficult) model requires CFD to solve simultaneously for convection in the water flow, multicomponent flow in the boundary layer and the movement of the evaporation front Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Conclusions
Experiment and model, and the agreement between them, is far from perfect Experimental results seem to be highly irreproducible; sometimes, the Mpemba effect is seen, sometimes not The model shows the Mpemba effect, although it may be less valid when more of the water evaporates, due to simplifying assumptions A better (more difficult) model requires CFD to solve simultaneously for convection in the water flow, multicomponent flow in the boundary layer and the movement of the evaporation front Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Conclusions
Experiment and model, and the agreement between them, is far from perfect Experimental results seem to be highly irreproducible; sometimes, the Mpemba effect is seen, sometimes not The model shows the Mpemba effect, although it may be less valid when more of the water evaporates, due to simplifying assumptions A better (more difficult) model requires CFD to solve simultaneously for convection in the water flow, multicomponent flow in the boundary layer and the movement of the evaporation front Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Conclusions
Experiment and model, and the agreement between them, is far from perfect Experimental results seem to be highly irreproducible; sometimes, the Mpemba effect is seen, sometimes not The model shows the Mpemba effect, although it may be less valid when more of the water evaporates, due to simplifying assumptions A better (more difficult) model requires CFD to solve simultaneously for convection in the water flow, multicomponent flow in the boundary layer and the movement of the evaporation front Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Future work (natural convection only)
Experimental vessel Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Future work (natural convection only)
Time elapsed for the ice layer to grow 25 mm in thickness Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Acknowledgements
Science Foundation Ireland Mathematics Initiative Grant 06/MI/005 Prof. N. Maeno Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Acknowledgements
Science Foundation Ireland Mathematics Initiative Grant 06/MI/005 Prof. N. Maeno Introduction Prof. Maeno’sexperiment Mathematicalmodel Model results (Tcold =253 K) Conclusions
Acknowledgements
Science Foundation Ireland Mathematics Initiative Grant 06/MI/005 Prof. N. Maeno