Application of Time Domain Curve-Fitting to Parameter Estimation in RTD Models

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

P. R. Krishnaswamy¹  G. P. Rangaiah¹ 

[1] Department of Chemical Engineering, National University of Singapore

关键词: Parameter Estimation;    RTD Models;    Time Domain Curve-Fitting;    Trickle Beds;   

DOI  :  10.1252/jcej.23.124

来源: Maruzen Company Ltd

【 摘 要 】

References(24)Cited-By(12)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.

【 授权许可】

Unknown