Experience with Elective Cholecystectomy: A Study in Riyadh

Khoshim, Mohammed H. B.; El-Bakry, Abdulkarim; Al-Sulaimani, Saleh H.; Al-Khuwaitir, S. A.; Murshid, Khalid R.

doi:10.4197/med.3-1.4

Cited by 1 publication

(1 citation statement)

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“…The problem of controlling the grinding process is to take into account the increased correlation between factors, large time delays, uncontrolled perturbations, changes in parameters in time, nonlinearity of the technological process, as well as the suboptimal design of the grinding plant [9][10][11]. This is achieved by introducing into the predictive model the description of uncertainties and cases of deviation from the technological process.…”

Section: Methodsmentioning

confidence: 99%

Simulation and control of ball mills under uncertainty conditions

Mukhitdinov,

Kadirov,

Boybutayev

et al. 2024

J. Phys.: Conf. Ser.

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The article considers a model for monitoring the grinding process in a ball mill, where the ground material itself is involved in grinding. The constructed model takes into account the uncertainties associated with the quality indicators of the processed ore at the beginning and in the process of grinding, the influence of the quality indicators of the ore in terms of particle size and their hardness on the kinetics of grinding. The non-linearity of the technological process and uncertainties are taken into account in the control system aimed at stabilizing the system. The model is presented in the form of four blocks describing the main links of the mill plant. At the output of the model, the participation of the mill, the volume of the sump are determined, and the particle size at the outlet of the hydrocyclone is estimated. The operation of the hydrocyclone control system is demonstrated, which controls the loading density and particle size depending on the change in ore quality.

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Section: Methodsmentioning

confidence: 99%