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Flash-point Prediction for Binary Partially Miscible Aqueous–organic Mixtures by Horng-Jang Liaw; Chien-Tsun Chen; Vincent Gerbaud is a Engineering article available to read on EtoBox.

What is Flash-point Prediction for Binary Partially Miscible Aqueous–organic Mixtures about?

Flash point is the most important variable used to characterize fire and explosion hazard of liquids. Herein, partially miscible mixtures are presented within the context of liquid-liquid extraction processes and heterogeneous distillation processes. This paper describes development of a model for predicting the flash point of binary partially miscible mixtures of aqueous-organic system. To confirm the predictive efficiency of the derived flash points, the model was verified by comparing the predicted values with the experimental data for the studied mixtures: water + 1-butanol; water + 2-butanol; water + isobutanol; water + 1-pentanol; and, water + octane. Results reveal that immiscibility in the two liquid phases should not be ignored in the prediction of flash point. Overall, the predictive results of this proposed model describe the experimental data well when using the LLE and VLE parameters to estimate sequentially the span of two liquid phases and the flash point, respectively. Potential application for the model concerns the assessment of fire and explosion hazards, and the development of inherently safer designs for chemical processes containing binary partially miscible m

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Author

Horng-Jang Liaw; Chien-Tsun Chen; Vincent Gerbaud

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0009-2509)

Published

2008

Language

EN

Field

Engineering (Physical Sciences)