하승호 (서강대학교)

오한빈 (서강대학교)

하승호 (서강대학교)

오한빈 (서강대학교)

Industrial accidents involving hazardous chemicals are often categorized as abnormal reactions, making it difficult to determine the exact cause. Reproducing the decomposition, combustion, and primary reactions of various chemical species on a laboratory scale and obtaining relevant data are crucial steps in fields such as industrial safety.

To address this, we have developed a quantitative gas sampling device using a tube furnace and manifold, capable of performing both non-isothermal and isothermal reactions. An MFC was utilized to ensure accurate gas sampling, and the collected samples were analyzed using a Thermal Desorption Gas Chromatography Mass Spectrometer (TD-GC/MS).

Experiments were conducted quantitatively under ambient or N2 atmospheres at pressures below 2 atm and temperatures up to 1000°C. The experimental results showed that the reactions of substances proceeded quantitatively, consistent with various references and expected by-products.

The data obtained from additional experiments under different conditions will be used to validate machine learning models for predicting substance reaction pathways, toxicity, and flashpoints.