Effect of ball mill grinding parameters of hydrated lime fine grinding on consumed energy

Sabah, Eyüp; Özdemir, Orhan; Koltka, Selçuk

doi:10.1016/j.apt.2012.12.001

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…In both cases, the specific comminution energy increased with the size reduction ratio. Similar relationships were observed for other types of grinders used for granular materials, such as ball mills [ 14 ], hammer mills [ 1 , 17 ], knife mills [ 50 ], and roller mills [ 15 , 16 ]. An increase in comminution energy with an increase in size reduction ratio is due to the fact that with the decreasing size of ground material, the comminution energy increases as the internal flaws decrease (with the size decrease); thus, breakage probability is reduced, and subsequent size reduction involves higher energy input [ 1 ].…”

Section: Resultssupporting

confidence: 72%

“…In order to determine them, it is required to carry out experimental tests, e.g., sieve analysis, and adjust the theoretical models to set the appropriate characteristic parameters, such as the scale and shape of these distributions [ 11 , 12 ]. The tests conducted for ball mills [ 14 ], cylindrical mills [ 15 , 16 ], and hammer mills [ 1 , 17 ] showed that the particle size distribution curves vary depending on the process and design parameters of the mills used for grinding, e.g., the size of the grinding gap, rotational velocities, or the number of balls in ball mills. Furthermore, there is ongoing research to identify the relationship between the particle size of the ground product and the specific comminution energy for mills [ 18 , 19 , 20 , 21 ], which in a broader perspective should allow us to understand the comminution process to reduce the energy consumption and to optimise grinding machine designs.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Dependent Particle Size Distribution Models for Multi-Disc Mill

et al. 2022

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Comminution is important in the processing of biological materials, such as cereal grains, wood biomass, and food waste. The most popular biomaterial grinders are hammer and roller mills. However, the grinders with great potential in the processing of biomass are mills that use cutting, e.g., disc mills. When it comes to single-disc and multi-disc grinders, there are not many studies describing the relationships between energy, motion, material, and processing or describing the effect of grinding, meaning the size distribution of a product. The relationship between the energy and size reduction ratio of disc-type grinder designs has also not been sufficiently explored. The purpose of this paper was to develop models for the particle size distribution of the ground product in multi-disc mills depending on the variable process parameters, i.e., disc rotational velocity and, consequently, power consumption, and the relationship between the grinding energy and the shape of graining curves, which would help predict the product size reduction ratio for these machines. The experiment was performed using a five-disc mill, assuming the angular velocity of the grinder discs was variable. Power consumption, product particle size, and specific comminution energy were recorded during the tests. The Rosin–Rammler–Sperling–Bennet (RRSB) distribution curves were established for the ground samples, and the relationships between distribution coefficients and the average angular velocity of grinder discs, power consumption, and specific comminution energy were determined. The tests showed that the specific comminution energy increases as the size reduction ratio increases. It was also demonstrated that the RRSB distribution coefficients could be represented by the functions of angular velocities, power consumption, and specific comminution energy. The developed models will be a source of information for numerical modelling of comminution processes.

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Section: Resultssupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Energy-Dependent Particle Size Distribution Models for Multi-Disc Mill

et al. 2022

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“…Such phenomenon is considered attributable to the occurrence of agglomeration by surface combination while the oxide was changed in crystals and shapes into the form of hydroxide by reaction with water as SB-DKD was crushed by wet ball milling. 11) Concerning the sizes of spherical granule particles (Figs. 5(b), (c) and (d)) with application of the spray dryer process using SB-DKD particles, it could be affirmed that particles having the same sizes of 50~60 µm had been prepared.…”

Section: Resultsmentioning

confidence: 99%

Preparation of Spherical Granules of Dolomite Kiln Dust as Gas Adsorbent

Choi¹,

Huh²,

Lee³

et al. 2016

J. Korean Ceram. Soc

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It is highlighted that increasing the adsorbent surface area on volumetric basis is very important in providing an easy access for gas molecules. Fine particles around 3 µm of soft-burned dolomite kiln dust (SB-DKD) were hydrated to wet slurry samples by ball mill process and then placed in a chamber to use spray dryer method. Spherical granules with particle size distribution of 50~60 µm were prepared under the experimental condition with or without addition of a pore-forming agent. The relationship between bead size of the pore-forming agent and size of SB-DKD particles is the most significant factor in preparation of spherical granules with a high porosity. Whereas addition of smaller beads than SB-DKD resulted in almost no change in the surface porosity of spherical granules, addition of larger beads than SB-DKD contributed to obtaining of the particles with both 15 times larger average pore volume and 1 order of magnitude larger porosity. It is considered that spherical granules with improved N 2 gas adsorption ability may also be utilized for other atmospheric gas adsorption.

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“…The effect of the various grinding parameters such as charged material volume, milling ball load and mill speed on energy consumption of fine grinding of hydrated lime was studied experimentally based on a laboratory scale ball mill. Results showed that the milling ball load and mill speed have greater influence on the energy efficiency than the charged material volume [17]. A similar work carried out on a pilot mill showed that the power increased remarkably with an increase of mill speed and ball filling level, and the power increased initially and then decreased with an increase in slurry filling level [18].…”

Section: Introductionmentioning

confidence: 99%

Calculation method and its application for energy consumption of ball mills in ceramic industry based on power feature deployment

Wang

2020

Advances in Applied Ceramics

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Owing to the lack of effective energy consumption models of ball mills in the ceramic industry, a calculation model to forecast energy consumption of ceramic ball mills during the grinding process was developed based on power feature deployment. The energy consumption of the working process was defined by different combinations of power of components involved in tasks. The total energy consumption was divided into three parts: power lost in the electrical motor, power lost in mechanical transmission and power used for grinding materials. These three components were described separately by taking the principle of an electrical motor, mechanical transmission and grinding process into account. Measurement results of two ball mills in a real ceramic manufacturing plant showed that the proposed calculation models could achieve an accuracy of more than 96% for predicting the ball mill energy consumption during which the power fluctuates periodically to complete one rotation cycle of the ball mills.

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Effect of ball mill grinding parameters of hydrated lime fine grinding on consumed energy

Cited by 8 publications

References 6 publications

Energy-Dependent Particle Size Distribution Models for Multi-Disc Mill

Energy-Dependent Particle Size Distribution Models for Multi-Disc Mill

Preparation of Spherical Granules of Dolomite Kiln Dust as Gas Adsorbent

Calculation method and its application for energy consumption of ball mills in ceramic industry based on power feature deployment

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