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Enhancement of Glass Production Rate in Joule Heated Ceramic Melter

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Published/Copyright: November 19, 2019
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Abstract

In this research work, experimental studies and numerical simulation of Joule Heated Ceramic Melter (JHCM) used for vitrification of radioactive liquid waste (RLW) were carried out. The isolation of the long-lived radioactive isotopes by fixing them in suitable host matrix is the only practical approach adopted for conditioning of highly radioactive waste generated from the nuclear fuel cycle. RLW and preformed glass beads are added simultaneously on a molten glass pool maintained at 1000 °C in JHCM to form a product that is qualified for long term storage. The sequence and kinetics of different reactions taking place in JHCM were identified and calculated by carrying out Thermogravimetric Analysis of the radioactive species present in RLW at different heating rates. The effects of these constituents on the melter throughput and quality of the Vitrified Waste Product (VWP) produced were assessed. The foam generated during vitrification process has a major influence on the design of melters. The amount of foam generated was quantified and its influence on glass production rate was analyzed. Melt rate limitations were determined for JHCM based on the measured thermo-physical properties. Minimum residence time required for producing product of the desired specification is determined. A model is developed for determining the glass melting rates. Experiments were carried out for generating data required for validation of the model. The model predictions are compared with experimental results. The factors affecting the product throughput and quality are identified with an objective of reducing the residence time of the product thereby increasing the throughput. The effect of agitation on the rate of melting of glass was determined.

Nomenclature

Greek and Latin Alphabets
αi

conversion in the ith reaction

β

Heating rate (K.min−1)

ρ

Density (kg. m−3)

μ

Dynamic Viscosity (Pa.s)

Level Set Function

κ

Curvature (m−1)

ε

thickness of the level set function region (m)

σ

Surface tension coefficient (kg.s−2)

γ

re-initialization parameter

δ

dimensionless change in length

Symbols
A

Pre-exponential factor

Cp

specific heat capacity (W.m−1. K−1)

D

Diffusivity (m2.s−1)

E

Electrical Field (V.m−1)

Eai

Activation Energy of ith reaction (kJ.mol−1)

F

Volume force vector (N.m−3)

J

Current density (A.m−2)

N

Concentration flux (mol.m−2.s−1)

QJ

Heat source (W.m−3)

R

Universal gas constant, (8.314 KJ.kg−1. K−1)

Re

Reaction rate (mol.m−3.s−1)

T

Temperature (K)

c

Concentration (mol.m−3)

c0

Initial concentration (mol.m−3)

d

Diameter (m)

n

unit normal to the interface

k

thermal conductivity (W.m−1. K−1)

Kf

rate constant (mol1 + v.m−3(1 + v).s−1)

p

Pressure (N.m−2)

q

heat rate (J.s−1)

s

Electrical conductivity (S.m−1)

t

Time (s)

u

Velocity (m.s−1)

v

order of reaction

wi

fractional weight of the material converted ith reaction

z

vertical direction

References

[1] Suneel G, Rajasekharan S, Selvakumar J, Kaushik CP, Gayen JK, Ravi KV. Determination of reaction kinetics during vitrification of radioactive liquid waste for different types of base glass. J Nucl Eng Technol. 2019;51:746–54.10.1016/j.net.2018.12.002Search in Google Scholar

[2] Curran RL. Use of mathematical modeling in determining the effects of electrode configuration on convection currents in an electric glass melter. IEEE Trans Ind Gen Appl. 1971;IGA-7:116–29.10.1109/TIGA.1971.4181273Search in Google Scholar

[3] Curran RL. Mathematical model of an electric glass furnace: effects of glass color and resistivity. IEEE Trans Ind Appl. 1973;IA-9:348–57.10.1109/TIA.1973.349916Search in Google Scholar

[4] McConnell RR, Goodson RE. Modelling of glass furnace design for improved energy efficiency. Glas Technol. 1979;20:100–6.Search in Google Scholar

[5] Mase H, Oda K. Mathematical model of glass tank furnace with batch melting process. J Non Cryst Solids. 1980;38–39:807–12.10.1016/0022-3093(80)90536-0Search in Google Scholar

[6] Patankar SV, Spalding DB. A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows Pergamon Press, 1972.10.1016/0017-9310(72)90054-3Search in Google Scholar

[7] Patankar SV, Pratap VS, Spalding DB. Lammar flow and heat transfer in helically coiled pipes. 1974;62.10.1017/S0022112074000796Search in Google Scholar

[8] Viskanta R. Review of three-dimensional mathematical modeling of glass melting. J Non Cryst Solids. 1994;177:347–62.10.1016/0022-3093(94)90549-5Search in Google Scholar

[9] Feng Z, Li D, Qin G, Liu S. Study of the float glass melting process: combining fluid dynamics simulation and glass homogeneity inspection. J Am Ceram Soc. 2008;91:3229–34.10.1111/j.1551-2916.2008.02606.xSearch in Google Scholar

[10] Pokorny R, Hrma P. Mathematical modeling of cold cap. J Nucl Mater. 2012;429:245–56.10.1016/j.jnucmat.2012.06.013Search in Google Scholar

[11] Hrma P. Thermodynamics of batch melting. Glas Berichte. 1982;55:138–50.Search in Google Scholar

[12] Schill P, Chmelar J. Use of computer flow dynamics in glass technology. J Non-Cryst Solids. 2004;345:771–6.10.1016/j.jnoncrysol.2004.08.199Search in Google Scholar

[13] Choudhary MK, Venuturumilli R, Hyre MR. Mathematical modeling of flow and heat transfer phenomena in glass melting, delivery, and forming processes. Int J Appl Glas Sci. 2010;1:188–214.10.1111/j.2041-1294.2010.00018.xSearch in Google Scholar

[14] Taylor RF. Chemical engineering problems of radioactive wastefixation by vitrification. Chem Eng Sci. 1985;40:541–69.10.1016/0009-2509(85)80001-4Search in Google Scholar

[15] Chapman CC, Buelt JL, Slate SC. Vitrification of Hanford wastes in JCM and evaluation of product. Pacific Northwest Lab. Report PNL-2904, 1979.Search in Google Scholar

[16] Bickford DF, Hrma P, Bowman BW. Control of radioactive waste glass melters: II, residence time and melt rate limitations. J Am Ceram Soc. 1990;73:2903–15.10.1111/j.1151-2916.1990.tb06693.xSearch in Google Scholar

[17] Guillen DP, Albert AK, Abboud AW, Pokorny R, Eaton WC, Dixon D, et al. Development of a validation approach for an integrated waste glass melter model. Nucl Technol. 2018;203:244–60.10.1080/00295450.2018.1458559Search in Google Scholar

[18] Pokorny R, Hrma P. Model for the conversion of nuclear waste feed to glass. J Am Ceramic Soc. 2014;445:190–9.10.1016/j.jnucmat.2013.11.009Search in Google Scholar

[19] Suneel G, Satya Sai PM, Kaushik CP, Gayen JK, Ravi KV, Roy A. Experimental investigation and numerical modeling of a joule-heated ceramic melter for vitrification of radioactive waste. Journal of Hazardous, Toxic, and Radioactive Waste. 2019;23(1):04018035-1–04018035-14. DOI: https://doi.org/10.1061/(ASCE)HZ.2153-5515.0000429.Search in Google Scholar

[20] Pokorny R, Hrma PR. Mathematical model of cold cap-preliminary one-dimensional model development. Pacific Northwest Lab. Report PNNL-20278, 2011.10.2172/1012879Search in Google Scholar

[21] Ethridge LJ. S.R.P defence waste vitrification studies during FY 1982. Pacific Northwest Lab. Report PNL-4834, 1983.Search in Google Scholar

Received: 2019-04-27
Revised: 2019-09-06
Accepted: 2019-10-17
Published Online: 2019-11-19

© 2019 Walter de Gruyter GmbH, Berlin/Boston

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