کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4980287 | 1367826 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Effects of particle size distributions on flame propagation behavior through dust clouds of PMMA
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بهداشت و امنیت شیمی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Effects of particle size distributions on flame propagation behavior through dust clouds of PMMA Effects of particle size distributions on flame propagation behavior through dust clouds of PMMA](/preview/png/4980287.png)
چکیده انگلیسی
A dust explosion occurs when an ignition source such as static electricity gives energy to a cloud of combustible particles. The flame propagates at high speed and the pressure rises up drastically. To take appropriate measures preventing dust explosions accidents, it is necessary to understand the phenomenon scientifically, in particular, to elucidate the effects of particle size distributions on flame propagating behavior. The purpose of this study is to investigate the effects of particle size distributions systematically. On this account, experiments were performed, in which PMMA particles with a very narrow particle size distribution (monodispersed) and blended samples of these monodispersed particles in various ratios were used. Flame propagation behavior of blended samples was compared with that of monodispersed samples of 3, 10, 20, and 30 μm diameters. As a result, it was found that flame propagation behavior varied according to the particle size distributions even if Sauter mean diameter was same. In particular, flame propagated very fast in small and monodispersed particles which didn't contain large particles.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Loss Prevention in the Process Industries - Volume 49, Part B, September 2017, Pages 852-858
Journal: Journal of Loss Prevention in the Process Industries - Volume 49, Part B, September 2017, Pages 852-858
نویسندگان
Yojiro Yuzuriha, Wei Gao, Toshio Mogi, Ritsu Dobashi,