Modeling the effect of wall capacitance on the dynamics of an exothermic reaction system in a batch reactor

Jayakumar, N.S.; Agrawal, Aakash A.; Hashim, Mohd Ali; Sahu, J.N.

doi:10.1016/j.ijheatmasstransfer.2010.09.025

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…Luego, se analiza la geometría de los perfiles de temperatura, se establecen criterios de estabilidad y se define las condiciones críticas en las cuales el reactor se encontraría fuera de control (Morbidelli y Varma, 1988;Varma et al, 1999;Jiang et al, 2016;Copelli et al, 2014;Luo et al, 2002;Lu et al, 2005;Adler y Enig, 1964;van Walsenaere y Froment, 1970). Un criterio interesante que se define y aplica es el coeficiente de sensibilidad paramétrica, en el cual su magnitud identifica la sensibilidad de la temperatura con respecto a un parámetro y a unas condiciones definidas (Jiang, J. et al, 2011;Ojeda et al, 2014;Das et al, 2015;Jayakumar et al, 2011). Existen otras metodologías que permiten complementar la anterior y analizar el comportamiento dinámico del sistema reactivo: condiciones de inestabilidad, puntos de bifurcación, puntos límite y comportamiento cíclico de las variables (Elnashaie y Uhlig, 2007;Mahecha-Botero et al, 2005;Ball, 2011;Ball y Gray, 2013;Ball, 2013).…”

Section: Introductionunclassified

Análisis de la Sensibilidad Paramétrica y del Comportamiento Dinámico de la Hidrólisis del Isocianato de Metilo

et al. 2016

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En este trabajo se combinan el análisis de sensibilidad paramétrica y el análisis dinámico para determinar las condiciones de inestabilidad térmica de la reacción de hidrólisis de isocianato de metilo, una reacción altamente exotérmica que demostró tener una elevada sensibilidad térmica (desastre de Bhopal-India, 1984). Para la simulación del sistema reactivo, se consideró un reactor de mezcla en estado transiente. El análisis de sensibilidad paramétrica define condiciones críticas de operación y con el análisis dinámico se determina rigurosamente las regiones de inestabilidad térmica, los puntos de bifurcación del sistema, y el comportamiento oscilatorio del mismo. Las ecuaciones diferenciales se solucionaron con el software Matcont ®. Se demostró cómo las condiciones fuera de control (runaway) y el comportamiento cíclico de la temperatura del sistema reactivo dependen de la temperatura del fluido de servicio y de los parámetros adimensionales l (transferencia de calor al medio) y f (flujo adimensional), y se determinaron sus valores críticos: lc=752.39 y fc=1.57.

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Section: Introductionunclassified

Análisis de la Sensibilidad Paramétrica y del Comportamiento Dinámico de la Hidrólisis del Isocianato de Metilo

et al. 2016

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“…Processos em batelada são geralmente usados para unidades com múltiplo propósito, sendo aplicados para uma diversidade de processos químicos em indústrias como por exemplo as farmacêuticas, saneantes, alimentícias e de polímeros. Neles, reagentes são manipulados de maneira que produtos de alto valor agregado sejam manufaturados de acordo com as especificações desejadas, seguindo uma sequência de operações onde cada produto tem uma receita específica (JAYAKUMAR et al, 2011).…”

Section: Controle De Processos Químicos Em Bateladaunclassified

Integração ciberfísica e semântica da informação para o controle de processos industriais.

Sousa¹

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The emerging concept of Digital Transformation refers to the potential fourth industrial revolution. It took place within the Industrie 4.0 project through an economic development strategy proposed by the German government in 2011. Since then, the topic has been a matter of discussion in universities and large companies around the globe, becoming the center of business strategies to maintain competitiveness in the market. Cyber-physical systems are the backbone of the application of Industry 4.0, enabling collaborative, efficient, and sustainable production and integrating what were previously grouped by "functional silos". This happens due to its potential for integration between different technologies, enabling innovation in many domains, whether technological or economic sectors. Also, it represents process control for smart factories through cyber-physical integration and the use of ontologies in the semantic layer. Therefore, communication architectures used in Industry 4.0 that is currently evolving were revisited and an ontology was built for the integration of the semantic layer of information for a classical batch reactor control scheme. Orchestration and choreography architectures were designed to make it possible to offer control as a service to the process. For that, it starts with the control of an old batch reactor case of use, whose control application in the ladder diagram is from 1979, before the IEC 61512 and IEC 61131 standards. Also, the control structure was redesigned from the ontology for Industry 4.0, using OWL in its best-known form in Chemical Engineering, which is OntoCAPE. Thus, it demonstrates the ability of an ontology to generate control structures on the virtual side of CPS (Cyber-Physical System) with flexibility; and ready for interoperability, if necessary.

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Kinetics of the hydrolysis of acetic anhydride using reaction calorimetry: effects of strong acid catalyst and salts

Garcia

Bernardino

Calasans

et al. 2021

Chemical Engineering Research and Design

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Modeling the effect of wall capacitance on the dynamics of an exothermic reaction system in a batch reactor

Cited by 7 publications

References 13 publications

Análisis de la Sensibilidad Paramétrica y del Comportamiento Dinámico de la Hidrólisis del Isocianato de Metilo

Análisis de la Sensibilidad Paramétrica y del Comportamiento Dinámico de la Hidrólisis del Isocianato de Metilo

Integração ciberfísica e semântica da informação para o controle de processos industriais.

Kinetics of the hydrolysis of acetic anhydride using reaction calorimetry: effects of strong acid catalyst and salts

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