Fitting TGA Data of Oil Sludge Pyrolysis and Oxidation by Applying a Model Free Approximation of the Arrhenius Parameters

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Title:	Fitting TGA Data of Oil Sludge Pyrolysis and Oxidation by Applying a Model Free Approximation of the Arrhenius Parameters
Authors:	Wu, R. M.;D. J. Lee;C. Y. Chang;J. L. Shie
Contributors:	淡江大學化學工程與材料工程學系
Keywords:	Thermal pyrolysis;Continuous mixture;Oil sludge;Kinetics
Date:	2006-06
Issue Date:	2013-04-13 18:03:59 (UTC+8)
Publisher:	Amsterdam: Elsevier BV
Abstract:	Interpreting the thermal pyrolysis data from organic substances using thermogravimetric analysis (TGA) requires assuming certain formal kinetic models to be a priori for parametric fitting. The form of the assumed model limits the accuracy of stimulating the pyrolysis data. This work demonstrates the feasibility of modeling the pyrolyzed sample as a continuous mixture, in which an Arrhenius-type kinetics is applied with activation energy, pre-exponential factor, and reaction order as continuous functions of conversion. Such a data fitting scheme is not used to identify the actual chemical kinetics involved, but rather to describe the complex chemical kinetics in a unified, “model free” manner for engineering applications.
Relation:	Journal of Analytical and Applied Pyrolysis 76(1-2), pp.132-137
DOI:	10.1016/j.jaap.2005.10.001
Appears in Collections:	[Graduate Institute & Department of Chemical and Materials Engineering] Journal Article

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