This study proposed a predictive model for process parameters of Vertical Shaft Impact Crusher for manufactured sand. It employs a fuzzy-self-attention hybrid neural network model to determine the optimal operational state of the crusher, effectively enhancing the accuracy of predicting the Fineness Modulus and particle size distribution of the manufactured sand. Extensive training of
[We are a mining machinery manufacturer that meet the needs of the construction and mining industry and exports our products to many countries at the same time. High quality, affordable price, ergonomic design and years of experience have made MINGYUAN Company the top brand in the world. below are some our main product & project scopes: 1: stone crushing screening
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Fault diagnosis of mechanical equipment in high energy consumption industries in China: A review. Yongjian Sun, Xiaohong Wang, in Mechanical Systems and Signal Processing, 2023. 2.1.1 Crusher. Crusher is a widely used gravel machine, which is mainly used in the crushing of granite, limestone, quartz and other stones. The crusher can crush the stone into fine particles
[Aspects in Mining & Mineral Science, 2018. The design and construction of a prototype rock crushing machine was performed this is with a view to ensuring that the designed crusher is capable of crushing rocks, lime stone and solid minerals for indigenous use.
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The mathematical modeling and optimization of the parameters and working processes of a cone crusher were addressed in [22, 23].A mathematical model of the working process of a jaw crusher was
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