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Interpreting Pseudo-Adiabatic Data: An Excel-Based Approach to Kinetic Modeling for Thermal Hazard Evaluation.

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Název: Interpreting Pseudo-Adiabatic Data: An Excel-Based Approach to Kinetic Modeling for Thermal Hazard Evaluation.
Autoři: Antien, Kevin, Vilain, Gérard
Zdroj: CET Journal - Chemical Engineering Transactions; 2025, Vol. 116, p637-642, 6p
Témata: EXOTHERMIC reactions, HEAT of reaction, CALORIMETRY, MICROSOFT Visual Basic (Computer program language), SAFETY standards, DYNAMIC models
Reviews & Products: MICROSOFT Excel (Computer software)
Abstrakt: This paper presents an innovative Excel-based tool designed for kinetic modeling and simulation of adiabatic runaway scenarios, utilizing data derived from Accelerating Rate Calorimeter (ARC) measurements. By harnessing the capabilities of Excel's Solver and VBA macros, empowers users to exert direct control over the modeling process, promoting both precision and transparency. Comprehensive validation against both simulated and real-life data underscores its accuracy and adaptability in managing complex exothermic systems. With the integration of φ-factor corrections, this approach offers an accessible yet robust methodology for predicting critical safety parameters, such as the Time to Maximum Rate (tmrad), thereby enhancing safety assessments in chemical processes. [ABSTRACT FROM AUTHOR]
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Abstrakt:This paper presents an innovative Excel-based tool designed for kinetic modeling and simulation of adiabatic runaway scenarios, utilizing data derived from Accelerating Rate Calorimeter (ARC) measurements. By harnessing the capabilities of Excel's Solver and VBA macros, empowers users to exert direct control over the modeling process, promoting both precision and transparency. Comprehensive validation against both simulated and real-life data underscores its accuracy and adaptability in managing complex exothermic systems. With the integration of φ-factor corrections, this approach offers an accessible yet robust methodology for predicting critical safety parameters, such as the Time to Maximum Rate (tmr<subscript>ad</subscript>), thereby enhancing safety assessments in chemical processes. [ABSTRACT FROM AUTHOR]
ISSN:19749791
DOI:10.3303/CET25116107