Prediction of the self‐accelerating decomposition temperature of organic peroxides. Issue 2 (27th August 2020)

• Record Type: Journal Article
• Authors: Achary, Patnala Ganga Raju; Toropova, Alla P.; Toropov, Andrey A.
• Is Part Of: Process safety progress. Volume 40:Issue 2(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-08-27
• Subjects: Monte Carlo method -- OECD principles -- organic peroxides -- predictive model -- risk assessment -- self‐accelerating decomposition temperature -- thermal hazard; Chemical plants -- Management -- Periodicals; 660
• DOI: 10.1002/prs.12189
• Languages: English
• ISSNs: 1066-8527

Abstract

Abstract: The decomposition of the organic peroxide is exothermic, and that heat can be utilized for the desired or expected reactions by the polymers or emulsion. However, the unwanted decomposition of these peroxides (when present alone not with other polymers or emulsions) generates heat which is not dissipated properly and can cause serious problems. Looking at these obvious disadvantages one would be convinced that, there is an urgent and desirable requirement for the development of alternate reliable methods to predict self‐accelerating decomposition temperature (SADT) for organic peroxides. Predictions for SADT were built with a dataset of organic peroxides by the application of the criterion of "Index of Ideality of Correlation ( IIC )." Here, the advantage of the target functions which are calculated with taking into account the IIC is demonstrated. The IIC is a mathematical function of two variables: (a) correlation coefficient; and (b) MAE.