Impacts Of Thermal Correction Factor On Adiabatic Calorimetry Results

Accelerating Rate Calorimeter （ARC） is a commonly used instrument today for the adiabatic test, but the heat release of the sample is partially absorbed by the bomb, and resulting in lower adiabatic temperature rise and maximum self-heating rate, higher onset temperature. An improper thermal inertia factor Φ can even cause the test curve and kinetic parameters "distorted". In order to deepen the comprehension of Φ influence on adiabatic test result, dicumyl peroxide（DCP）,40 wt% DCP in ethyl benzene, glucose and 45 wt% glucose in water with different sample masses were tested and analyzed. And corrected the test results in different methods, study on whether can get a more consistent results.Firstly, analyzed the test data of 40% DCP solution, the results showed that the great value of Φ lead a high onset temperature and kinetic parameters apparent activation energy Ea, Pre-exponential factor A, and resulted in a low the maximum self-heating rate. In addition, corrected the sample bomb which do not reaction by Fisher method to get the related parameters of 40% DCP solution in adiabatic conditions. In order to provide a reliable result, it was suggested to perform the test with the maximum self-heating rate among the detection limit of the equipment, and the 0 should be close to the process condition which was required to be predicted. Otherwise, a great or small deviation was inevitable, depending on the distance between the test and the predicting condition. Then corrected the solvent which do not reaction to get the related parameters of DCP in adiabatic conditions, and compared the corrected results with the test result of DCP, it was found that if the great value of Φ, the corrected results were not reliable.When corrected the related parameters, it needs to use the Ea, in order to study the relation between Ea and Φ, the apparent activation energy Ea and pre-exponential factor A were calculated of four samples at different Φ based on Arrhenius rate constant. And compared Ea and A between ARC and DSC. It suggests that the great value of Φ lead a high Ea and A. Although the calculated InA and Ea based on dynamic DSC data were generally lower than that based on adiabatic ARC data, significant kinetic compensation effect existed between the two sets of results.Finally, corrected the tested T_D24, it was found that the great value of Φ, the higher tested T_D24, but the corrected T_D24 were more consistent.