Özet:

The object of the research to develop an analytical method for determining the armor wear rate of the drum ball mill was the boiler TP-100 (TP-100A) of the 200 MW power unit of Burshtyn TPP (Ukraine), equipped with two individual dust-preparation systems with drum ball mills KBM 370/850 (Sh-50A). An effective analytical method for determining one of the main performance indicators of a drum ball mill – the wear rate of the drum armor, grinding balls and the relationship between them in case of «G» grade coal combustion for TP-100 boilers is proposed. Its essence is to reduce human labor costs, more accurately determine the wear rate of the drum armor and grinding balls. This method is characterized by the fact that the main estimation indicator is the drum armor wear rate depending on the manufacture quality of armored plates (manufacturer). According to experimental studies, the ratio of the armor wear rate of the drum, equipped with a sleeper armor, to the wear rate of grinding balls is a constant value of 0.07. The statistics of the interrepair time of Burshtyn TPP mills, depending on the armor grade, are summarized in the table. The experimental and estimated parameters of the drum armor wear of Burshtyn TPP KBM are given. The influence of the armor grade, provided the maximum allowable drum armor wear (bδ=0.5) on the estimated maximum drum ball charge and the mill operation duration is investigated. The dependency of over-expenditure of balls on the mill operation duration and the place of armor manufacture is given. The equations describing the curves of this dependency are derived. According to the dependency Nm=f(Gb), the mill electric motor loading in case of the actual ball weight of 70 t in the drum is determined.The recommendations for diagnosing the operation of drum ball mills using different fuels, with the corresponding calculations and equipment, are given Author Biographies Yevhen Pistun, Lviv Polytechnic National University S. Bandery str., 12, Lviv, Ukraine, 79013 Doctor of Technical Sciences, Professor, Нead of Department Department of Automation of Thermal and Chemical Processes

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