1 THERMAL LOADING OF A DIRECT DRIVE TARGET IN RAREFIED GAS B. R. Christensen, A. R. Raffray, and M. S. Tillack Mechanical and Aerospace Engineering Department.

Slides:



Advertisements
Similar presentations
CFD and Thermal Stress Analysis of Helium-Cooled Divertor Concepts Presented by: X.R. Wang Contributors: R. Raffray and S. Malang University of California,
Advertisements

ChE 553 Lecture 11 New Topic: Kinetics Of Adsorption 1.
Heat transfer in boilers
September 24-25, 2003 HAPL meeting, UW, Madison 1 Armor Configuration & Thermal Analysis 1.Parametric analysis in support of system studies 2.Preliminary.
Kinematic Analysis for A Conventional I.C. Engine P M V Subbarao Professor Mechanical Engineering Department Creation of Instantaneous Volume, Surface.
Density gradient at the ends of plasma cell The goal: assess different techniques for optimization density gradient at the ends of plasma cell.
September 24-25, 2003 HAPL Program Meeting, UW, Madison 1 Report on Target Action Items A.R. Raffray and B. Christensen University of California, San Diego.
April 6-7, 2002 A. R. Raffray, et al., Modeling of Inertial Fusion Chamber 1 Modeling of Inertial Fusion Chamber A. R. Raffray, F. Najmabadi, Z. Dragojlovic,
Thermal Control Techniques for Improved DT Layering of Indirect Drive IFE Targets John E. Pulsifer and Mark S. Tillack University of California, San Diego.
March 3-4, 2005 HAPL meeting, NRL 1 Target Survival During Injection…The Advantages of Getting Rid of the Buffer Gas Presented by A.R. Raffray Other Contributors:
IFSA, Kyoto, Japan, September Dry Chamber Wall Thermo-Mechanical Behavior and Lifetime under IFE Cyclic Energy Deposition A. R. Raffray 1, D. Haynes.
DAH, RRP, UW - FTI ARIES-IFE, January 2002, 1 Thin liquid Pb wall protection for IFE chambers D. A. Haynes, Jr. and R. R. Peterson Fusion Technology Institute.
Chamber clearing L. Bromberg ARIES Meeting Madison, WI September 20, 2001.
December 5-6, 2002 HAPL Program Workshop, NRL, Washington, D.C. 1 Enhancing Target Survival Presented by A.R. Raffray Other Contributors: M. S. Tillack,
The Heavy Ion Fusion Virtual National Laboratory UC Berkeley C.S. Debonnel 1,2, S.S. Yu 2, P.F. Peterson 1 (1) Thermal Hydraulics Laboratory Department.
A. R. Raffray, B. R. Christensen and M. S. Tillack Can a Direct-Drive Target Survive Injection into an IFE Chamber? Japan-US Workshop on IFE Target Fabrication,
February 3-4, nd US/Japan Target Workshop, GA, San Diego, CA 1 Heating and Thermal Response of Direct- Drive Target During Injection Presented by.
November th TOFE, Washington, D.C. 1 Thermal Behavior and Operating Requirements of IFE Direct-Drive Targets A.R. Raffray 1, R. Petzoldt 2, J. Pulsifer.
Advanced Energy Technology Group Mechanisms of Aerosol Generation in Liquid-Protected IFE Chambers M. S. Tillack, A. R. Raffray.
1 Aerospace Thermal Analysis Overview G. Nacouzi ME 155B.
October 27-28, 2004 HAPL meeting, PPPL 1 Target Survival During Injection Presented by A.R. Raffray Other Contributors: K. Boehm, B. Christensen, M. S.
HYDRODYNAMIC EVOLUTION OF IFE CHAMBERS WITH DIFFERENT PROTECTIVE GASES AND PRE-IGNITION CONDITIONS Zoran Dragojlovic and Farrokh Najmabadi University of.
Experimental Verification of Gas- Cooled T-Tube Divertor Performance L. Crosatti, D. Sadowski, S. Abdel-Khalik, and M. Yoda ARIES Meeting, UCSD (June 14-15,
June7-8, 2001 A. R. Raffray, et al., Completion of Assessment of Dry Chamber Wall Option Without Protective Gas, and Initial Planning Activity for Assessment.
Aerosol protection of laser optics by Electrostatic Fields (not manetic) L. Bromberg ARIES Meeting Madison WI April 23, 2002.
Chamber Dynamic Response Modeling Zoran Dragojlovic.
October 24, Remaining Action Items on Dry Chamber Wall 2. “Overlap” Design Regions 3. Scoping Analysis of Sacrificial Wall A. R. Raffray, J.
Progress Report on Chamber Dynamics and Clearing Farrokh Najmabadi, Rene Raffray, Mark S. Tillack, John Pulsifer, Zoran Dragovlovic (UCSD) Ahmed Hassanein.
February 5-6, 2004 HAPL meeting, G.Tech. 1 Survivable Target Strategy and Analysis Presented by A.R. Raffray Other Contributors: B. Christensen, M. S.
1 of 16 M. S. Tillack, Y. Tao, J. Pulsifer, F. Najmabadi, L. C. Carlson, K. L. Sequoia, R. A. Burdt, M. Aralis Laser-matter interactions and IFE research.
January 8-10, 2003/ARR 1 1. Pre-Shot Aerosol Parameteric Design Window for Thin Liquid Wall 2. Scoping Liquid Wall Mechanical Response to Thermal Shocks.
Aug. 8-9, 2006 HAPL meeting, GA 1 Advanced Chamber Concept with Magnetic Intervention: - Ion Dump Issues - Status of Blanket Study A. René Raffray UCSD.
Nov 13-14, 2001 A. R. Raffray, et al., Progress Report on Chamber Clearing Code Effort 1 Progress Report on Chamber Clearing Code Development Effort A.
XII International Symposium on Explosive Production of New Materials: Science, Technology, Business and Innovations, EPNM.
Slip to No-slip in Viscous Fluid Flows
ILE, Osaka Concept and preliminary experiment on protection of final optics in wet-wall laser fusion reactor T. Norimatsu, K. Nagai, T. Yamanaka and Y.
Chamber Clearing by Electrostatic Fields L. Bromberg ARIES Meeting UCSD January 10, 2002.
The Heavy Ion Fusion Virtual National Laboratory UC Berkeley Christophe S. Debonnel 1,2 (1) Thermal Hydraulics Laboratory Department of Nuclear Engineering.
1 MODELING DT VAPORIZATION AND MELTING IN A DIRECT DRIVE TARGET B. R. Christensen, A. R. Raffray, and M. S. Tillack Mechanical and Aerospace Engineering.
April 9-10, 2003 HAPL Program Meeting, SNL, Albuquerque, N.M. 1 Lowering Target Initial Temperature to Enhance Target Survival Presented by A.R. Raffray.
HEAT TRANSFER IN LIGHTSABERS An ME 340 Project by Clayton Grames.
Space Environment Neutral Environment Hydrogen
MAE 3241: AERODYNAMICS AND FLIGHT MECHANICS
June 2-3, 2004 HAPL meeting, UCLA 1 Progress on Target Survival Presented by A.R. Raffray Other Contributors: B. Christensen, M. S. Tillack UCSD D. Goodin.
Anharmonic Effects. Any real crystal resists compression to a smaller volume than its equilibrium value more strongly than expansion to a larger volume.
Design Analysis of Furnace Of A Steam Generator P M V Subbarao Professor Mechanical Engineering Department Perfection of Primary Cause for All that Continues…..
Summary of Rb loss simulations The goal: assess different techniques for optimization density gradient at the ends of plasma cell.
Robust Heavy Ion Fusion Target Shigeo KAWATA Utsunomiya Univ. Japan U.S.-J. Workshop on HIF December 18-19, 2008 at LBNL & LLNL.
DSMC Program DS2V (ver. 3) for 2D Plane and Axially Symmetric Flows Integrated Demonstration/Tutorial Examples Program feature In example #  Axially symmetric.
Aerosol Limits for Target Tracking Ronald Petzoldt ARIES IFE Meeting, Madison, WI April 22-23, 2002.
Edge-SOL Plasma Transport Simulation for the KSTAR
Compressor Cascade Pressure Rise Prediction
Optimization of plasma uniformity in laser-irradiated underdense targets M. S. Tillack, K. L. Sequoia, B. O’Shay University of California, San Diego 9500.
Status of Modeling of Damage Effects on Final Optics Mirror Performance T.K. Mau, M.S. Tillack Center for Energy Research Fusion Energy Division University.
Compressible Frictional Flow Past Wings P M V Subbarao Professor Mechanical Engineering Department I I T Delhi A Small and Significant Region of Curse.
Integrated Target Reflectivity Analysis
Chapter 2: Heat Conduction Equation
Ion Mitigation for Laser IFE Optics Ryan Abbott, Jeff Latkowski, Rob Schmitt HAPL Program Workshop Atlanta, Georgia, February 5, 2004 This work was performed.
Heat Transfer Su Yongkang School of Mechanical Engineering # 1 HEAT TRANSFER CHAPTER 8 Internal flow.
Heat Transfer Su Yongkang School of Mechanical Engineering # 1 HEAT TRANSFER CHAPTER 6 Introduction to convection.
Neda HASHEMI Gaëtan GILLES Rúben António TOMÉ JARDIN Hoang Hoang Son TRAN Raoul CARRUS Anne Marie HABRAKEN 2D Thermal model of powder injection laser cladding.
Chamber Dynamic Response Modeling
Can a Direct-Drive Target Survive Injection into an IFE Chamber?
MAE 5360: Hypersonic Airbreathing Engines
Fundamentals of Heat Transfer
IFE Wetted-Wall Chamber Engineering “Preliminary Considerations”
University of California, San Diego
Aerosol Production in Lead-protected and Flibe-protected Chambers
Fundamentals of Heat Transfer
Presentation transcript:

1 THERMAL LOADING OF A DIRECT DRIVE TARGET IN RAREFIED GAS B. R. Christensen, A. R. Raffray, and M. S. Tillack Mechanical and Aerospace Engineering Department and Center for Energy Research, University of California, San Diego, La Jolla, CA , Presented at the 16th ANS TOFE Madison, WI September 14-16, 2004

2 The Cryogenic Direct-Drive Target will be Subjected to Challenging Conditions when Injected into an IFE Chamber IFE Chamber (R~6 m) Example Protective Gas: ~10 21 m -3 Xe at 1000 – 4000K, q’’ condensation ~ 1-10 W/cm 2 Chamber wall ~ 1000–1500 K, q’’ rad = 0.2 – 1.2 W/cm 2 Target Injection (~400 m/s) Target Implosion Point

3 Introduction For each fusion micro explosion (~ 10 Hz), ions and heat loads threaten to damage the reactor wall and driver optics. A background gas, such as Xe, could reduce the damage on the wall from ion and heat loading. The thermal loading of a target (radiation from the chamber wall and convection from the protective gas) may threaten the symmetry, smoothness, or uniformity requirements placed on a target. The radiation loading is simply calculated using the Stefan-Boltzman law (0.2 – 1.2 W/cm 2 ). The convective loading is computed using DS2V, a commercial DSMC program. -The DSMC method is used due to the high Knudsen number (Kn = 0.4 – 40) for a target in a low density (n= 3x10 19 – 3x10 21 m -3 ) protective gas.

4 Modeling Target Injection Using DS2V Temperature Field Around a Direct Drive Target -Xe flowing at 400 m/s in the positive x-dir K stream temperature x10 21 m -3 stream density. -Sticking coefficient = 0. - Target surface temperature = 18 K. Assumptions Axially symmetric flow. Target is stationary, Xe stream velocity = 400 m/s. Target surface temp. = 18 K = constant. Sticking coefficient = 0 or 1, Accommodation coefficient = 1 Target doesn’t rotate.

5 The Number Flux at the Target Surface Decreases with Increasing Sticking Coefficient (sigma) when the Stream Density is High The number flux is a strong function of stream temperature and position on the target surface. Kinetic theory and DS2V show good agreement. High Density Stream, n = 3.22x10 21 m -3

6 For a High Density Stream the Heat Flux Decreases with a Decreasing in Sticking Coefficient The heat flux is decreased when sigma = 0 due to the influence of low temperature reflected particles interacting with the incoming stream (see the first viewgraph). For the low density cases there is less interaction between reflected and incoming particles. The rapid change in heat flux with position suggests that the average maximum heat flux could be reduced by rotating the target. High Density Stream, n = 3.22x10 21 m -3

7 The Influence of the Sticking Coefficient (  ) and the Accommodation Coefficient (  ) on the Maximum Heat Flux Leading Edge). Parameters: 400 m/s injection into 3.22x10 21 m -3 and 4000 K. (Max. heat flux (with  = 1 and  =1) = 27 W/cm 2. In general, reducing a causes the heat flux to reduce more rapidly with . Note that the heat flux decreases when  =1 for  < 0.8. If there were no interactions between reflected and incoming particles the normalized heat flux would be unity for all .

8 A Summary of the Expected Heat Flux the Leading Edge) as a Function of Chamber Conditions All heat flux values are reported in W/cm 2.

9 The Effect of the Injection Velocity, Xe Density, and  on the Maximum Incident Heat Flux the leading edge) When  = 1 the relationship between the heat flux and the Xe density is linear for each injection velocity. It is apparent that the shielding effect occurs over the density and velocity range studied, and is a stronger effect as the density is increased.

10 Maximizing the Protective Gas Density DS2V is used to predict heat flux as a function of protective gas density and injection velocity. An integrated thermomechanical model is used to predict the response of a target to an imposed heat flux. The maximum allowable heat flux for a given time of flight is obtained. Coupling the data from DS2V and the integrated thermomechanical model, the maximum protective gas density for a given injection velocity is obtained.

11 For a Basic Target, There is an Optimum Injection Velocity when  = 1.  (sticking coefficient) = 1  (sticking coefficient) = 0

12 For an Insulated Target, a High Injection Velocity Significantly Increases the Maximum Allowable Gas Density 100 mm, 10% dense insulator,  (sticking coefficient) = 1

13 Summary The heat flux caused by the interaction of the target with the protective chamber gas can be modeled using DS2V (a commercial DSMC program). The sticking (condensation) coefficient and the accommodation coefficient affect the heat flux at the target surface. Experimental determination of the sticking (condensation) coefficient and accommodation coefficient are needed. There may be an optimum injection velocity that allows for the maximum amount of protective gas.