This paper studied the implementation of fuzzy logic on the relevant parameter of biomass pyrolysis. Frequency factor, the upper limit of ‘dE’, and the scale parameter of Rayleigh distribution are fuzzified in order to estimate the randomness in estimating the parametric values. Distribution function, f(E), of activation energies is assumed to follow the Rayleigh distribution. Thermo-analytical data has been found experimentally with the help of TGA/DTG analysis. The approximated solution of distributed activation energy model (DAEM) is obtained by using asymptotic approach.
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Cai J. & Liu R. 2008. New distributed activation energy model: Numerical solution and application to pyrolysis kinetics of some types of biomass Bioresource Technology 99(8) 2795-2799. DOI: 10.1016/j.biortech.2007.06.033
Howard J. B. 1981. Fundamentals of Coal Pyrolysis and Hydropyrolysis M. A. Elliott ed Chemistry of Coal Utilization Second Supplementary Volume. 665-784 John Wiley & Sons.
Kerf J. De. 1975. A bibliography on fuzzy sets. J. comput. Appl. Math. 1: 205-212.
Niksa S. & Lau C.-W. 1993. Global rates of devolatilization for various coal types. Combust. Flame. 94: 293.
Pitt G. J. 1962. The kinetics of the evolution of volatile products from coal. Fuel. 1: 267.
Suuberg E. M. 1983. Approximate solution technique for nonisothermal Gaussian distributed activation energy models Combust. Flame. 50: 243.
Tsoukalas L. H. & Uhrig R. H. 1997. Fuzzy and Neural Approches in Engineering John Wiley & Sons New York.
Vand V. 1943. A theory of the irreversible electrical resistance changes of metallic films evaporated in vacuum. Proc. Phys. Soc. (London). A 55: 222.
Zadeh L. A. 1965. Fuzzy sets. Information and Control. 8: 338-353. DOI: 10.1016/S0019-9958(65)90241-X
Zadeh L. A. 1978. Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems. 1: 3-28.