DETERMINATION OF THE INFLUENCE FACTORS IN DUST EXPLOSION VIA ROUGH SET: AN APPLICATION ON SYSTEM CONTROL

Yunting Tsai ； Meili You ； Chi-Min Shu

《Journal of Innovative Technology》 1卷1期 (2019/03) Pp. 63-68

https://doi.org/10.29424/JIT.201903_1(1).0008

摘要

With the growing evolution of the chemicals and materials, the steps of chemical process have become increasingly complicated and sophisticated. There is a concern that treated dust of sugar, when produced on an industrial scale, will result in serious explosion accidents. There include test of explosion sensitivity and data processing by minimum ignition energy tester (MIET) and rough set, respectively. Five important factors of explosion discussed in dust of sugar are particle size, particle composition, temperature, as well as the relative humidity of environment. The orders of significance are particle concentration ＞ temperature ＞ particle size ＞ humidity. The temperature explosive range of powdered sugar is about 19℃, and it will explode when the humidity is between 55% and 75%. When the particles of dust trend to minimum, the more amount of dust is required.

關鍵字

Chemical process ； explosion accidents ； minimum ignition energy tester (MIET) ； rough set ； important factors of explosion

參考文獻

Callé, S., Klaba, L., Thomas, D., Perrin, L., and Dufaud, O. (2005).“Influence of the size distribution and concentration on wood dust explosion: Experiments and reaction modeling.” Powder Technology, 157, 144-148.

Chang, J.I. and Lin, C.C. (2006). “A study of storage tank accidents.”Journal of Loss Prevention in the Process Industries, 19, 51-59.

Chiu, Y.C., Hong, W.T., and Chen, N. (2016). “Ultrasonically dispersed dyed water mists as a substitute for colored powders.”Case Studies in Fire Safety, 6, 1-9.

Hajime, M., Nobuyuki, H., and Hiroto, I. (2016). “First experience using cultured epidermal autografts in Taiwan for burn victims of the Formosa Fun Coast Water Park explosion, as part of Japanese medical assistance.” Burns, 42, 697-703.

Kuncheva, L.I. (1992). “Fuzzy rough sets: Application to feature selection.” Fuzzy Sets and Systems, 51, 147-153.