An alternative to the concept of the interval of quiescence (IQ) in the Monte Carlo simulation of population balances

Chemical Engineering Science

Volumn 54, Issue 23, 1999, Pages 5711-5715

  Song, M ^a   Qiu, X J ^b  

^a TU DORTMUND UNIVERSITY   (Germany)

^b CDI 1111 West Holly Street ^*  (United States)

Author keywords

Breakage process; Interval of quiescence; Monte Carlo simulation; Population balance equation

Indexed keywords

COMPUTER SIMULATION; MONTE CARLO METHODS;

INTERVAL OF QUIESCENCE (IQ); POPULATION BALANCE EQUATIONS;

MATERIALS SCIENCE;

MONTE CARLO SIMULATION; PARTICLE;

EID: 0032721138     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0009-2509(99)00099-8     Document Type: Article

References (14)

1. Bajpai R.K., Ramkrishna D., Prokop A. Effect of drop interactions on the performance of hydrocarbon fermentors. Biotechnology and Bioengineering. 19:1977;1761-1772.
2. Bapat P.M., Tavlarides L.L., Smith G.W. Monte Carlo simulation of mass transfer in liquid-liquid dispersions. Chemical Engineering Science. 38:1983;2003-2013.
3. Das P.K. Monte Carlo simulation of drop breakage on the basis of drop volume. Computers and Chemical Engineering. 20:1996;307-313.
4. Gupta S.K., Saraf D.N., Pandley B.P. Colloid Polymer Science. 257:1979;663.
5. Habbard, J.L., & Ramkrishna, D. (1979). Proceedings of the 73rd Annual American Institute of Chemical Engineers Meeting, Paper No. 70e, San Francisco.
6. Kendall D.G. Stochastic processes and population growth. Journal of Royal Statistical Society, Series B. 11:1949;230-240.
7. Kendall D.G. An artificial realization of a simple "birthanddeath" process. Journal of Royal Statistical Society, Series B. 12:1950;116-126.
8. Marchal P., David R., Klein J.P., Villermaux J. Crystallization and precipitation engineering, I. An effective method for solving population balance in crystallization with agglomeration. Chemical Engineering Science. 43:1988;59-67.
9. Ramkrishna D. Analysis of population balance - IV. The precise connection between Monte Carlo simulation and population balances. Chemical Engineering Science. 36:1981;1203-1209.
10. Sampson, K.J., & Ramkrishna, D. (1979). Proceedings of the 73rd Annual American Institute of Chemical Engineers Meeting, Paper No. P-101, San Francisco.
11. Shah B.H., Borwanker J.D., Ramkrishna D. Monte Carlo simulation of microbial population growth. Mathematical Bioscience. 31:1976;1-23.
12. Shah B.H., Ramkrishna D., Borwanker J.D. Simulation of particulate systems using the concept of the interval of quiescence. American Institute of Chemical Engineers Journal. 23:1977a;897-904.
13. Shah B.H., Ramkrishna D., Borwanker J.D. Simulation of bubble populations in a gas fluidized bed. Chemical Engineering Science. 32:1977b;1419-1425.
14. Sweet I.R., Gustafson S.S., Ramkrishna D. Population balance modelling of bubbling fluidized bed reactors. Wellstirred dense phase Chemical Engineering Science. 42:1987;241-351.