Simulation study of the energy-size reduction of MPS vertical spindle pulverizer

Xie, Weining; He, Yaqun; Zhang, YaHeng; Huang, Yong; Hong, Li; Wang, Hua; Wang, Haifeng

doi:10.1016/j.fuel.2014.08.040

Cited by 13 publications

(5 citation statements)

References 19 publications

(22 reference statements)

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“…As seen, the E cs increases when the loading pressure increases due to the increase of resistance of millstone movement with the increase of loading pressure. The same changes were also found in the work of Xie [18]. The maximum E cs could be obtained with the maximum rotation speed and maximum loading pressure.…”

Section: Validation Of the Rs Modelssupporting

confidence: 81%

“…As seen, the 𝜂 increases as the rotation speed decreases, and the maximum 𝜂 could be obtained with the minimum moisture content and minimum rotation speed. Xie [18] found the motor power consumption and product output are proportional to the motor rotation speed based on VRM experiments, but did not compare the degree of change. This work gives the grinding energy efficiency at the particle size of −0.63 + 0.315 mm.…”

Section: Effect Of Operating Parameters On 𝜂 Responsementioning

confidence: 99%

“…Performance optimization has become one of the objectives of crushing equipment research. Until now, the single factor analysis method has been mainly used to investigate the influence of various factors on the grinding performance of a VRM [13,14,17,18]. However, practical problems often require a multi-objective optimization, and the optimization goals would always affect each other.…”

Section: Introductionmentioning

confidence: 99%

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Analysis and Optimization of Grinding Performance of Vertical Roller Mill Based on Experimental Method

et al. 2022

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This work concentrates on the energy consumption and grinding energy efficiency of a laboratory vertical roller mill (VRM) under various operating parameters. For design of experiments (DOE), the response surface method (RSM) was employed with the VRM experiments to systematically investigate the influence of operating parameters on the energy consumption and grinding energy efficiency. The prediction models of energy consumption (Ecs) and grinding energy efficiency (η) were established respectively with the operating parameters (loading pressure, rotation speed and moisture content). Analysis of variance (ANOVA) was performed to obtain useful knowledge in designing operating parameters. Moreover, the multi-objective optimization design (MOD) method was conducted to seek out the optimal parameters of the VRM, and a set of optimal parameters was gained based on the desirability approach by Design-Expert. It is proved that the optimized prediction results match the experimental results well, which indicates this research offers a reliable guidance for reducing energy consumption and improving grinding energy efficiency.

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Section: Validation Of the Rs Modelssupporting

confidence: 81%

Section: Effect Of Operating Parameters On 𝜂 Responsementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis and Optimization of Grinding Performance of Vertical Roller Mill Based on Experimental Method

et al. 2022

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“…This directly influences energy consumption and the characteristics and quality of the cement. Some methods to improve the grinding process vary one parameter at a time such as the loading force, the rate of revolution or the fractional filling [6]. Some studies also try to predict energy consumption taking into account the characteristics of the material to be ground in the VRM [7].…”

Section: Introductionmentioning

confidence: 99%

Parameters for the Grinding Process in Vertical Mills Using Optimization Methods

Paredes,

Cepeda,

Lozada

2024

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Vertical roller mills, VRMs, are widely used for grinding raw materials in factories engaged in the extraction and processing of minerals. Any machine used for grinding or crushing consumes around 30 to 40% of the energy of a factory. The loading pressure, table rotation speed, moisture content, outlet temperature and pressure rollers are variables that can be controlled to decrease the specific energy consumption Ecs. This paper poses an optimization problem in order to reduce the energy consumption of a VRM used to produce cement and to find the optimal parameters of the operating variables. Several packages are used to solve the nonlinear programming problem, obtaining very concise results, but the results provided by the Pyomo package are used. Comparing the result of the objective function with the energy consumption of a well-known cement company in Ecuador, it is concluded that the optimized parameters are able to reduce by 25% the energy consumption guaranteeing a minimum production of 2200 tons of cement per day, so the model is correctly validated.

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“…Coal is an important primary energy source worldwide, especially in China. In China, coal-fired power is predominant in the production of the Chinese electric power and accounts for more than 70% [ 1 ]. Coal contains appreciable quantity of inorganic minerals and harmful elements, such as sulfur, lead, arsenic, and mercury; these minerals and elements can be transformed into inhalable particles, acid rain, and other pollutants and can be discharged into the atmosphere during coal combustion [ 2 ], thereby resulting in serious pollution to the atmosphere and large economic losses [ 3 – 6 ].…”

Section: Introductionmentioning

confidence: 99%

Separation Process of Fine Coals by Ultrasonic Vibration Gas-Solid Fluidized Bed

Wang

et al. 2017

International Journal of Analytical Chemistry

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Ultrasonic vibration gas-solid fluidized bed was proposed and introduced to separate fine coals (0.5–0.125 mm fraction). Several technological methods such as XRF, XRD, XPS, and EPMA were used to study the composition of heavy products to evaluate the separation effect. Results show that the ultrasonic vibration force field strengthens the particle separation process based on density when the vibration frequency is 35 kHz and the fluidization number is 1.8. The ash difference between the light and heavy products and the recovery of combustible material obtain the maximum values of 47.30% and 89.59%, respectively. The sulfur content of the heavy product reaches the maximum value of 6.78%. Chemical state analysis of sulfur shows that organic sulfur (-C-S-), sulfate-sulfur (-SO4), and pyrite-sulfur (-S2) are confirmed in the original coal and heavy product. Organic sulfur (-C-S-) is mainly concentrated in the light product, and pyrite-sulfur (-S2) is significantly enriched in the heavy product. The element composition, phase composition, backscatter imagery, and surface distribution of elements for heavy product show concentration of high-density minerals including pyrite, quartz, and kaolinite. Some harmful elements such as F, Pb, and As are also concentrated in the heavy product.

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Simulation study of the energy-size reduction of MPS vertical spindle pulverizer

Cited by 13 publications

References 19 publications

Analysis and Optimization of Grinding Performance of Vertical Roller Mill Based on Experimental Method

Analysis and Optimization of Grinding Performance of Vertical Roller Mill Based on Experimental Method

Parameters for the Grinding Process in Vertical Mills Using Optimization Methods

Separation Process of Fine Coals by Ultrasonic Vibration Gas-Solid Fluidized Bed

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