Papers by Author: Jin Feng Bai

Abstract: In order to make an accurate prediction of coke quality, which indicators need to find out with the coal for coke affect. This paper proposes a principal component analysis to determine with the indicators of coal coke weight, the results show that this method can effectively confirm with the main component of coal coke impact, and lay a solid foundation for subsequent coke prediction.

Abstract: Due to the complexity of coking coal, as well as the mixed nature of some single coal procured, the error is significantly larger to predict coke quality only through coal conventional indicators. Thus the coking enterprises urgently need a coke prediction method using many blend coal-related data. In view of the complexity of coking, there are some limitations as to the regression prediction method and neural network learning methods. On the base of the conventional indicators of single coal and coal rock indicators, the paper utilizes support vector machine to predict the cold and hot strength of coke. The experiments show that the accurate prediction of this method can meet the requirements of enterprises.

Abstract: In order to obtain optimized operating condition for industry naphthalene purification using fractional crystallizing method, the influence of heating rate, crystallizing times, holding time and cooling rate on the yield and purity of industrial naphthalene were studied. The industrial naphthalene from AISC Chemical General tar workshop was used as starting material in the study. The results show that the yield and purity of refined naphthalene can achieve 94.2％ and 99.30％ respectively, when the heating rate is 1.2°C/h, the cooling rate is 3°C/h, holding time is 5 hours and the crystallizing times is 3. The result of present study provides a theoretical foundation for the actual production and technology improvement of naphthalene purification.

Abstract: This work investigated the weight loss profile and kinetic parameters during the pyrolysis process of the 1/3 coking coal samples from Dongshan (Jixi, Heilongjiang province) in inert gases with the help of thermal-gravimetry apparatus. The characteristic temperatures, the activation energy and the frequency factors gained from the experiment change regularly during the pyrolytic process of the sample coal. The activation energy change with the bulk density indicates that the increase of the bulk density of the coal is beneficial to the coking reaction process of the coking coal.