Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/67368
Title: Application of time domain curve-fitting to parameter estimation in RTD models
Authors: Rangaiah, G.P. 
Krishnaswamy, P.R. 
Issue Date: Apr-1990
Source: Rangaiah, G.P.,Krishnaswamy, P.R. (1990-04). Application of time domain curve-fitting to parameter estimation in RTD models. Journal of Chemical Engineering of Japan 23 (2) : 124-130. ScholarBank@NUS Repository.
Abstract: Parameters in residence time distribution (RTD) models are commonly estimated by least-squares curve-fit in the time domain. Two procedures suggested in the literature for this purpose involve (i) fixing τ (the mean residence time) as equal to μ (first moment of the experimental response) prior to curve-fitting and (ii) estimating τ along with other model parameters by curve-fitting. In this work these two procedures, i.e., curve-fitting with and without the constraint τ = μ, are compared. Four models in conjunction with eight sets of RTD data are considered. The results indicate that consistently better results are obtained when the constraint τ = μ is relaxed prior to curve-fitting. This is particularly so for models with fewer parameters like the dispersion model.
Source Title: Journal of Chemical Engineering of Japan
URI: http://scholarbank.nus.edu.sg/handle/10635/67368
ISSN: 00219592
Appears in Collections:Staff Publications

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