Wetting Heat of various ranks of coals in water was measured by using SETARAM C80D Calorimeter. The data were correlated to coals' slurryability which is characterized by the solid load at the viscosity of 1 Pa...Wetting Heat of various ranks of coals in water was measured by using SETARAM C80D Calorimeter. The data were correlated to coals' slurryability which is characterized by the solid load at the viscosity of 1 Pa's and 25℃. The results showed that the heat of wetting by wa-ter decreases as coal rank increases in the range of brawn coal to bituminous coaI with carbon content of 89% ~90% (daf), and then, increases a little for anthracite. This trend fitted well to the relationship of slurryability to coal rank. The heat of wetting was also correlated to the inher-ent moisture content and the oxygen content of coal, which are commonly considered as slurrya-bility indication parameters. Hence, the wetting heat is another measure of coal's slurryability.展开更多
Artificial neural network has unique advantages for massively parallel processing, distributed storage capacity and self-learning ability. The paper mainly constructs neural network identifier and neural network contr...Artificial neural network has unique advantages for massively parallel processing, distributed storage capacity and self-learning ability. The paper mainly constructs neural network identifier and neural network controller for system identification and control on temperature and hmnidity of heating and drying system of materials. And the paper introduces the structure and principles of neural network, and focuses on analyzing learning algorithm, training algorithm and limitation of the most widely applied multi-layer feed-forward neural network （ BP network） , based on which the paper proposes introducing momentum to improve BP network.展开更多
In this paper, an improvement of heating method for measuring wetness of the flowing wet steam is developed, the basic principle of the heating method is presented and the mathematical model has been built for analyzi...In this paper, an improvement of heating method for measuring wetness of the flowing wet steam is developed, the basic principle of the heating method is presented and the mathematical model has been built for analyzing the thermodynamics problezns during the process of heating. Moreover, an instru-ment for measuring wetness of wet steam flow was designed and made out. This instrument has been used for measuring wetness of the wet steam flow at the outlet of the nozzle rig in Thermal TUrbine Laboratory Xi’an Jiaotong University. By analyzing the relative error of the result, it was found that this instrument has fairly high accuracy it can be used as the prototype of practical instrument and has an important applicable value in engineering.展开更多
文摘Wetting Heat of various ranks of coals in water was measured by using SETARAM C80D Calorimeter. The data were correlated to coals' slurryability which is characterized by the solid load at the viscosity of 1 Pa's and 25℃. The results showed that the heat of wetting by wa-ter decreases as coal rank increases in the range of brawn coal to bituminous coaI with carbon content of 89% ~90% (daf), and then, increases a little for anthracite. This trend fitted well to the relationship of slurryability to coal rank. The heat of wetting was also correlated to the inher-ent moisture content and the oxygen content of coal, which are commonly considered as slurrya-bility indication parameters. Hence, the wetting heat is another measure of coal's slurryability.
文摘Artificial neural network has unique advantages for massively parallel processing, distributed storage capacity and self-learning ability. The paper mainly constructs neural network identifier and neural network controller for system identification and control on temperature and hmnidity of heating and drying system of materials. And the paper introduces the structure and principles of neural network, and focuses on analyzing learning algorithm, training algorithm and limitation of the most widely applied multi-layer feed-forward neural network （ BP network） , based on which the paper proposes introducing momentum to improve BP network.
文摘In this paper, an improvement of heating method for measuring wetness of the flowing wet steam is developed, the basic principle of the heating method is presented and the mathematical model has been built for analyzing the thermodynamics problezns during the process of heating. Moreover, an instru-ment for measuring wetness of wet steam flow was designed and made out. This instrument has been used for measuring wetness of the wet steam flow at the outlet of the nozzle rig in Thermal TUrbine Laboratory Xi’an Jiaotong University. By analyzing the relative error of the result, it was found that this instrument has fairly high accuracy it can be used as the prototype of practical instrument and has an important applicable value in engineering.
