期刊
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
卷 69, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jlp.2021.104397
关键词
Polyethylene; Dust explosion; Risk assessment; Explosion characteristic parameters; Matrix analysis
资金
- Beijing Science and Technology Nova Program [Z181100006218092]
- Training Funded Project of the Beijing Youth Top-Notch Talents of China [2016000026833ZK05]
The explosion characteristic parameters of polyethylene dust were systematically investigated, and a risk assessment model was established based on experimental data. It was found that the risk of dust explosion increased with decreasing particle size.
The explosion characteristic parameters of polyethylene dust were systematically investigated. The variations in the maximum explosion pressure (Pmax), explosion index (Kst), minimum ignition energy (MIE), minimum ignition temperature (MIT), and minimum explosion concentration (MEC) of dust samples with different particle sizes were obtained. Using experimental data, a two-dimensional matrix analysis method was applied to classify the dust explosion severity based on Pmax and Kst. Then, a three-dimensional matrix was used to categorize the dust explosion sensitivity based on three factors: MIE, MIT, and MEC. Finally, a two-dimensional matrix model of dust explosion risk assessment was established considering the severity and sensitivity. The model was used to evaluate the explosion risk of polyethylene dust samples with different particle sizes. It was found that the risk level of dust explosion increased with decreasing particle size, which was consistent with the actual results. The risk assessment method can provide a scientific basis for dust explosion prevention in the production of polyethylene. Superscript/Subscript Available ABSTRACT The explosion characteristic parameters of polyethylene dust were systematically investigated. The variations in the maximum explosion pressure (Pmax), explosion index (Kst), minimum ignition energy (MIE), minimum ignition temperature (MIT), and minimum explosion concentration (MEC) of dust samples with different particle sizes were obtained. Using experimental data, a two-dimensional matrix analysis method was applied to classify the dust explosion severity based on Pmax and Kst. Then, a three-dimensional matrix was used to categorize the dust explosion sensitivity based on three factors: MIE, MIT, and MEC. Finally, a two-dimensional matrix model of dust explosion risk assessment was established considering the severity and sensitivity. The model was used to evaluate the explosion risk of polyethylene dust samples with different particle sizes. It was found that the risk level of dust explosion increased with decreasing particle size, which was consistent with the actual results. The risk assessment method can provide a scientific basis for dust explosion prevention in the production of polyethylene.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据