Characterization of micronized wood and energy-size relationship in wood comminution

Jiang, Jinxue; Wang, Jinwu; Zhang, Xiao; Wolcott, Michael P.

doi:10.1016/j.fuproc.2017.03.015

Cited by 11 publications

(7 citation statements)

References 43 publications

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“…The value of the calculated grinding parameter is proportional to the amount of energy consumed for grinding and the moisture content of the material. Similar results were obtained when studying the impact of moisture content and starting particle size on the specifi c energy consumption for the grinding of Douglas fi r [32]. The paper shows that the most suitable model for describing the correlation between specifi c energy consumption and changes in particle size changes is Rittinger's model.…”

Section: Discussionsupporting

confidence: 74%

Reducing energy consumption of barkwood residue grinding on equipment with knife-based operational units

Kunickaya¹,

Zhuk²,

Nikiforova³

et al. 2020

J Appl Eng Science

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In the coming decades, wood waste management for biofuel production is regarded as a promising renewable energy source and a key factor in reducing carbon dioxide emissions. Mechanical grinding is seen as one of the main techniques in wood waste pre-treatment operations that increases the value of feedstock used for fuel. The application potential of the ground product highly depends on the energy effi ciency of the process.This work aimed to establish a consistent pattern for estimating the energy consumption required for grinding spruce and pine barking waste depending on the degree to which materials are ground and their relative moisture content. The energy consumption parameters at grinding were analyzed employing three grinding energy models of Rittinger, Kripichev-Kik, and Bond. The results of estimation showed that specifi c energy consumption is associated with relative moisture content and the grinding degree by nonlinear dependence according to the Kripichev-Kik grinding model for spruce and pine bark. It has been established that the specifi c energy consumptionat grinding spruce and pine barking waste at the optimum humidity of 25% and 27%, respectively, is proportional to the natural logarithm of the grinding degree. It was concluded that the wood waste grinding by 5-15 times requires higher energy consumption at optimum moisture content, which is 5-10% and 7-14% of the heating value for spruce and pine, respectively. The knowledge acquired through this research will contribute to developing possible approaches for wood waste recycling in a more energy-effi cient way.

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Section: Discussionsupporting

confidence: 74%

Reducing energy consumption of barkwood residue grinding on equipment with knife-based operational units

Kunickaya¹,

Zhuk²,

Nikiforova³

et al. 2020

J Appl Eng Science

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“…It is similar in the case of specific comminution energy: an increase in disc angular velocity causes an increase in specific comminution energy, which demonstrates that the dynamics of increase in power consumption when changing the angular velocities is much greater than the dynamics of changes in the comminution efficiency. Details on the dependency of power consumption, efficiency, and specific comminution energy on process parameters such as the angular velocity of discs, batch feed speed, and the number of discs involved in grinding for a five-disc mill were presented in previous papers [ 16 , 19 , 24 ], and therefore they will not be discussed here in detail.…”

Section: Resultsmentioning

confidence: 99%

“…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%

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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“…In general, it is difficult to control the final size of ball-milled feedstocks. Nevertheless, equipment variables such as the rotational or vibrational frequency, ball diameter, and milling time can be used to achieve some level of control. , …”

Section: Lignocellulosic Biomass Size Reduction Equipmentmentioning

confidence: 99%

“…Nevertheless, equipment variables such as the rotational or vibrational frequency, ball diameter, and milling time can be used to achieve some level of control. 96,97 Rotary Bypass Shear Mill. The rotary bypass shear mill is relatively new lignocellulosic biomass size reduction equipment developed to address the limitations of conventional size reduction equipment, particularly the hammer mill.…”

Section: Equipmentmentioning

confidence: 99%

Understanding the Impact of Lignocellulosic Biomass Variability on the Size Reduction Process: A Review

Oyedeji

Gitman

et al. 2020

ACS Sustainable Chem. Eng.

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The importance of size reduction to the commercial deployment of biomass utilization technologies cannot be overemphasized. Size reduction is necessary to create good flowing, easily digestible lignocellulosic biomass. However, inefficiencies and inconsistencies have not been well addressed for the process of size reduction. This has motivated quite a few research studies, some of which have reported the influence of process variables and pretreatment on the size reduction performance as well as the development of novel size reduction equipment and empirical mathematical models. In this Perspective, we present a systematic and critical evaluation of the state of lignocellulosic biomass size reduction research to provide insights for engineers and scientists for future development and investigation. We first briefly discuss the structural biology and failure mode of lignocellulosic biomass. Then, we present a comprehensive, data-driven picture of the interactions among lignocellulosic biomass attributes, size reduction process variables, pretreatment processes, and size reduction process performance (as defined by product characteristics and size reduction energy consumption). The sizing equipment tool wear issues are also summarized. Finally, we highlight some existing gaps and future research opportunities for lignocellulosic biomass size reduction to inform the development of newer technologies that could effectively produce high-value lignocellulosic biomass particles.

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Characterization of micronized wood and energy-size relationship in wood comminution

Cited by 11 publications

References 43 publications

Reducing energy consumption of barkwood residue grinding on equipment with knife-based operational units

Reducing energy consumption of barkwood residue grinding on equipment with knife-based operational units

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

Understanding the Impact of Lignocellulosic Biomass Variability on the Size Reduction Process: A Review

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