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Using calorimetric approaches and thermal analysis technology to evaluate critical runaway parameters of azobisisobutyronitrile

Azobisisobutyronitrile (AIBN), an azo compound, is widely used in the polymerization reaction process. Due to –N = N– composition of AIBN, it has excellent high thermal sensitivity and decent amounts of decomposition heat. When the cooling system fails, a runaway reaction may occur, leading to a fir... Full description

Journal Title: Journal of Thermal Analysis and Calorimetry 2015, Vol.122(3), pp.1151-1157
Main Author: Tsai, Yun-Ting
Other Authors: Cao, Chen-Rui , Chen, Wei-Ting , Chou, Wei-Lung , You, Mei-Li
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 1388-6150 ; E-ISSN: 1588-2926 ; DOI: 10.1007/s10973-015-4982-5
Link: http://dx.doi.org/10.1007/s10973-015-4982-5
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recordid: springer_jour10.1007/s10973-015-4982-5
title: Using calorimetric approaches and thermal analysis technology to evaluate critical runaway parameters of azobisisobutyronitrile
format: Article
creator:
  • Tsai, Yun-Ting
  • Cao, Chen-Rui
  • Chen, Wei-Ting
  • Chou, Wei-Lung
  • You, Mei-Li
subjects:
  • Azobisisobutyronitrile (AIBN)
  • Critical runaway temperature (Tc)
  • Differential scanning calorimetry (DSC)
  • Runaway reactions
  • Thermal criticality
  • Unstable reaction condition
ispartof: Journal of Thermal Analysis and Calorimetry, 2015, Vol.122(3), pp.1151-1157
description: Azobisisobutyronitrile (AIBN), an azo compound, is widely used in the polymerization reaction process. Due to –N = N– composition of AIBN, it has excellent high thermal sensitivity and decent amounts of decomposition heat. When the cooling system fails, a runaway reaction may occur, leading to a fire or explosion. We used differential scanning calorimetry (DSC) to analyze the thermal hazard parameters of AIBN. Based on DSC thermal data, we can determine the apparent onset temperature ( T 0 ), heat of decomposition (Δ H d ), apparent activation energy ( E a ) and its reaction model to evaluate the basic thermal hazard of AIBN. We evaluated the critical runaway parameters of AIBN by Semenov methods, such as critical runaway temperatures and stable temperatures. These critical runaway parameters can be used to describe the unstable reaction criterion, which could determine AIBN’s thermal criticality. These results are able to prevent the thermal hazard and runaway during the production, transportation, and storage of AIBN.
language: eng
source:
identifier: ISSN: 1388-6150 ; E-ISSN: 1588-2926 ; DOI: 10.1007/s10973-015-4982-5
fulltext: fulltext
issn:
  • 1588-2926
  • 15882926
  • 1388-6150
  • 13886150
url: Link


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titleUsing calorimetric approaches and thermal analysis technology to evaluate critical runaway parameters of azobisisobutyronitrile
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subjectAzobisisobutyronitrile (AIBN) ; Critical runaway temperature (Tc) ; Differential scanning calorimetry (DSC) ; Runaway reactions ; Thermal criticality ; Unstable reaction condition
descriptionAzobisisobutyronitrile (AIBN), an azo compound, is widely used in the polymerization reaction process. Due to –N = N– composition of AIBN, it has excellent high thermal sensitivity and decent amounts of decomposition heat. When the cooling system fails, a runaway reaction may occur, leading to a fire or explosion. We used differential scanning calorimetry (DSC) to analyze the thermal hazard parameters of AIBN. Based on DSC thermal data, we can determine the apparent onset temperature ( T 0 ), heat of decomposition (Δ H d ), apparent activation energy ( E a ) and its reaction model to evaluate the basic thermal hazard of AIBN. We evaluated the critical runaway parameters of AIBN by Semenov methods, such as critical runaway temperatures and stable temperatures. These critical runaway parameters can be used to describe the unstable reaction criterion, which could determine AIBN’s thermal criticality. These results are able to prevent the thermal hazard and runaway during the production, transportation, and storage of AIBN.
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descriptionAzobisisobutyronitrile (AIBN), an azo compound, is widely used in the polymerization reaction process. Due to –N = N– composition of AIBN, it has excellent high thermal sensitivity and decent amounts of decomposition heat. When the cooling system fails, a runaway reaction may occur, leading to a fire or explosion. We used differential scanning calorimetry (DSC) to analyze the thermal hazard parameters of AIBN. Based on DSC thermal data, we can determine the apparent onset temperature ( T 0 ), heat of decomposition (Δ H d ), apparent activation energy ( E a ) and its reaction model to evaluate the basic thermal hazard of AIBN. We evaluated the critical runaway parameters of AIBN by Semenov methods, such as critical runaway temperatures and stable temperatures. These critical runaway parameters can be used to describe the unstable reaction criterion, which could determine AIBN’s thermal criticality. These results are able to prevent the thermal hazard and runaway during the production, transportation, and storage of AIBN.
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1Critical runaway temperature (Tc)
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abstractAzobisisobutyronitrile (AIBN), an azo compound, is widely used in the polymerization reaction process. Due to –N = N– composition of AIBN, it has excellent high thermal sensitivity and decent amounts of decomposition heat. When the cooling system fails, a runaway reaction may occur, leading to a fire or explosion. We used differential scanning calorimetry (DSC) to analyze the thermal hazard parameters of AIBN. Based on DSC thermal data, we can determine the apparent onset temperature ( T 0 ), heat of decomposition (Δ H d ), apparent activation energy ( E a ) and its reaction model to evaluate the basic thermal hazard of AIBN. We evaluated the critical runaway parameters of AIBN by Semenov methods, such as critical runaway temperatures and stable temperatures. These critical runaway parameters can be used to describe the unstable reaction criterion, which could determine AIBN’s thermal criticality. These results are able to prevent the thermal hazard and runaway during the production, transportation, and storage of AIBN.
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doi10.1007/s10973-015-4982-5
pages1151-1157
date2015-12