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Predictions for Multi-Scale Shock Heating Of a Granular Energetic Material By Venugopal Jogi ( M.S Candidate ) Advisor: Dr. Keith A. Gonthier Support Air.

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Presentation on theme: "Predictions for Multi-Scale Shock Heating Of a Granular Energetic Material By Venugopal Jogi ( M.S Candidate ) Advisor: Dr. Keith A. Gonthier Support Air."— Presentation transcript:

1 Predictions for Multi-Scale Shock Heating Of a Granular Energetic Material By Venugopal Jogi ( M.S Candidate ) Advisor: Dr. Keith A. Gonthier Support Air Force Research Laboratory, MNMW, Eglin AFB, FL Mechanical Engineering Department, LSU

2 Outline 1. Introduction to Granular Material Compaction 2. Problem Description 3. Solution Methodology & Numerical Procedure 4. Representative Results & Analysis 5. Summary

3 1.Introduction Compaction wave Propagation Bulk / Macro scale : 5 -10 cm Localization / Grain scale : 0.1 – 200 µm Localized stresses & grain heating at the contact surfaces Length scales Grain scale phenomena important for ignition and DDT transition : high frequency stress & temperature fluctuations

4 Importance of Heterogeneity Modeling Heterogeneities due to density discontinuities and porosity - More sensitive Disparate time & length scales Multi-phase flows Difficult to perform meso scale experiments at dynamic compaction speeds Relevant applications Safe handling & storage of damaged explosives Mechanical loading response of propellants, pyrotechnics and solid rocket fuels Synthesis of high strength materials (Powder metallurgy) Existing models and their limitations Predict only bulk response; fail to capture grain scale phenomena Bulk models - based on quasi-static experiments Either don’t track hot-spots or are inconsistent in coupling multi-scale phenomena

5 Steady wave structure – Bulk model predictions Solid volume fraction Novel aspects of present study An energetically consistent 1-D model to couple bulk & grain scale phenomena Track the formation & growth of hot-spots for subsonic & supersonic compaction waves Solid compressibility, effect of phase change on thermal energetics Comparison of predictions with detailed meso scale simulations Bulk temperature D

6 2.Mathematical Model (i) Bulk model (ii) Localization model Bulk model Conservation equations of mass, momentum, total energy and grain density of granular solid Evolution equations of and where is Recoverable compaction energy

7 Evolution of Internal Energy for Granular Material where, and Constitutive relations (Hayes EOS)

8 Comparison of bulk model behavior with dynamic experiments Hugoniot Curves For same initial conditions, closely match with experiments Bulk model parameter β 0 is modified to better replicate the similar experiments (Sheffield et.al.) Plots also include data for PBXs Predict the after-shock conditions of the compaction process Hugoniot curves for HMX in (a) P-v plane and (b) D-V p plane

9 Adopted Gonthier’s Localization strategy - Bulk compaction energy deposited at the intergranular contact surfaces, within the localization sphere Localization strategy compatible with grain contact mechanics & bulk energetics Uniform grain sizes Equate the integrated volumetric plastic flow work to bulk dissipated compaction energy Localization model where, Bulk compaction energy localization strategy

10 is bulk dissipated compaction energy is volumetric bulk compression work Isothermal phase change at melting temperature T m 0 = 520 K (Ref. Menikoff & Kober) Constant latent heat of fusion q m 0 = 0.22 MJ/kg. Meso-scale response Track grain temperature evolution or liquid phase formation within the localization sphere where is thermal conduction Coupling terms between bulk & grain scales Temperature evolution during pure solid or liquid phase During phase change region

11 Approximations & assumptions Steady compaction waves Inert material Only solid phase with porosity (phase change energetics) Only plastic deformation mechanism 3. Solution Procedure & Numerical Methodology Coordinate transformation to moving wave frame Transformed equations of bulk & grain scale models are:I.Cs and B.Cs Non-dimensionalized; N r = 100 Solved numerically by method of lines (Runge-Kutta 4 th order implicit solver ODE15s in MATLAB)

12 Predictions include bulk properties like and, solid pressure Ps, and ; localization scale parameters such as r c, r 0, R and grain temperature Case1:Subsonic compaction wave (U p = 106 m/s) To illustrate some of the key features of low speed compaction With and without phase change Case2:Supersonic compaction wave (U p = 1153 m/s with phase change) 4. Representative results & analysis (a)(b) Bulk model predictions of (a) & and (b) solid pressure P s, for U p = 106 m/s D Viscoelastic region Viscoplastic region Subsonic compaction wave

13 Predictions of localization parameters (a) localization radii (b) and (c) & (d) grain temperature with and without phase change for U p = 106 m/s (a)(b) (c)(d)

14 Model predictions of (a) & (b) P s (c) localization radii and (d) grain temperature for U p = 1153 m/s (a)(b) (c)(d) Supersonic compaction wave Shock

15 Observations Compaction zone is thinner at higher compaction speeds The remnants of two-wave structure is seen at lower piston speed (U p = 106m/s) Role of compressive heating is insignificant compared to the bulk compaction energy which is dominant over the range of piston speeds studied here, i.e., Phase change reduces the grain temperature by a significant 100 K at U p = 106m/s Thermal conduction is not important for high rate compaction (adiabatic deformation)

16 Comparison of model predictions with detailed numerical simulations (Menikoff & Kober) Detailed numerical simulations for temperature predictions for U p = 1000 m/s (Ref. Menikoff & Kober) (a) (b) Comparison of (a) plastic strain and (b) solid pressure predictions for U p = 200, 500 and 1000 m/s

17 Comparison Contd, At U p = 200 m/s, the detailed simulations may be under resolved hence not able to estimate correct amount of plastic strain At U p = 500 m/s, both the results match well At U p = 1000 m/s, we over-predict plastic strain, which is limited by phase change Summary Thermal energetics of granular compaction occurring at grain scale are captured in a manner consistent with thermodynamics and grain contact mechanics Coupling between bulk model and localization model is obtained in an energetically consistent manner Subsonic and supersonic steady compaction waves are studied to predict the bulk as well as grain scale parameters such as solid volume fraction, pressure, grain temperature Effect of phase change is studied at different compaction speeds Compared with detailed meso scale simulations to develop more sophisticated models to capture these grain-scale phenomena

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