Abnormal size effect of particle breakage probability under repeated impacts

Sun, Hanqing; Zeng, Yawu; Yang, Yong; Chen, Xi; Zeng, Tiancheng

doi:10.1016/j.powtec.2020.01.026

Cited by 12 publications

(5 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The literature provides attempts to describe materials crack probability by means of known distributions. They refer, however, rather to hard materials, mostly to minerals and rocks [ 58 , 59 , 60 , 61 , 62 ]. There is a shortage of this type of studies for biological materials such as corn grains.…”

Section: Introductionmentioning

confidence: 99%

Study of Selected Physical-Mechanical Properties of Corn Grains Important from the Point of View of Mechanical Processing Systems Designing

Kruszelnicka

2021

Materials

View full text Add to dashboard Cite

Mechanical properties of corn grains are of key importance in a design of processing machines whose energy demand depends on these properties. The aim of this study is to determine the selected mechanical properties of corn grains and the rupture energy. The research problem was formulated as questions: (1) How much force and energy is needed to induce a rupture of corn grain maintaining good quality of the product of processing (mixing, grinding transport)? (2) Can empirical distributions of the studied physical-mechanical properties be described by means of probability distributions provided by the literature? (3) Is there a relationship between the corn grain size and the selected mechanical properties, as well as rupture energy? In order to achieve the goals, the selected physical properties (size, volume) of corn grains have been distinguished and a static compression test has been carried out on an Instron 5966 testing machine. The results indicate a significant scatter of the results in terms of size, grain shape, forces, energy, and deformation corresponding to the point of inflection, bioyiled point, and rupture point. It has also been indicated that empirical distributions of the analyzed properties can be described by means of distributions known from the literature, e.g., gamma, Weibull or lognormal distributions. It has been confirmed that mechanical properties such as force, energy, and stress that cause rupture depend on the grain size, more precisely, the grain thickness—there are negative relations between thickness and force, energy and stress in relation to the point of inflection, bioyiled point, and rupture point.

show abstract

Section: Introductionmentioning

confidence: 99%

Study of Selected Physical-Mechanical Properties of Corn Grains Important from the Point of View of Mechanical Processing Systems Designing

Kruszelnicka

2021

Materials

View full text Add to dashboard Cite

show abstract

“…Typical force-displacement curve the strength of particles is not uniform and therefore must be described by a statistical distribution. There are many statistical distribution models that describe PSD such as the Gauss distribution (Couroyer et al, 2003), logistic function (Rozenblat et al, 2011, Sun et al, 2020, Weibull function (Huang et al, 2014), and lognormal function (Tavares and Almeida, 2020). In this paper the lognormal function will be used to fit the PSD.…”

Section: Initial Particle Strength Distributionmentioning

confidence: 99%

“…Since particles, even of the same material and equal size, are not identical, the strength has to be described by a statistical distribution (Gundepudi, 1997). In the majority of cases the particle strength distribution (PSD) was described by the Weibull distribution (Couroyer et al, 2003;Wong et al, 2005;Huang et al, 2014;Sun et al, 2020). However, some researchers used the lognormal distribution to express strength distribution (Aman, 2009;Tavares and Almeida, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…There are no difficulties that exist in force measurement, but the measurement of deformations requires taking into account the contact deformation of the tools, particularly for small hard particles. Tavares (1998) and Sun (2020) studied that the stiffness of the tool influences the particle breakage energy and energy efficiency. The inaccuracy in the determination of particle deformation leads to additional errors in the breakage energy.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental research on the strength distribution of brittle spheres under compression

Zhou¹,

Pan²

2021

Physicochem. Probl. Miner. Process.

View full text Add to dashboard Cite

The strength of a particle is one of the most crucial characteristics within a comminution process due to the mechanical stresses experienced by each particle. In this study, the K9 glass spheres and ceramic spheres were subjected to a breakage test. The test includes the breakage of up to 240 particles under compression to obtain the distribution of the breakage probability depending on the crushing force and breakage energy. The breakage test was conducted for five particle size fractions from each individual material. Thus obtained 10 crushing force distributions and corresponding 10 breakage energy distributions were fitted with lognormal distribution function. The parameters in the lognormal were analyzed including the effect of the material and particle size. Following this, the relationship between the crushing force and breakage energy was analyzed based on the Hertzian elastic contacts model and Tomas's elastic-plastic contact model, respectively. Additionally, particle strength in terms of crushing force and breakage energy were compared and found to be size dependent. Finally, a simple transformation algorithm of distributions is developed. According to this algorithm the crushing force distribution can be transformed into breakage energy distribution and vice versa. The findings facilitate a better understanding of the particle strength distribution under compression and will help to improve the comminution process design, control and optimization.

show abstract

“…In the scientific literature, there have been attempts to describe the probability of fracture of materials using known distributions taking into account the influence of moisture [36] also comparatively for two types of maize [37]. However, the most of available research studies take into account hard materials, especially minerals [38] and rocks [39], but also the cracking of droplets [40]. There are still no parameters for biological (cereal) materials such as rice or corn.…”

Section: Introductionmentioning

confidence: 99%

Calibration of Selected Bulk Biomaterials Parameters for DEM Simulation of Comminution Process. Case Study: Corn and Rice Grains

Kruszelnicka¹,

Diviš²,

Hlosta³

et al. 2022

Adv. Sci. Technol. Res. J.

View full text Add to dashboard Cite

Computer simulation of bulk materials behavior, including comminution and fragmentation, using DEM has been growing fast, recently. One of the important tasks to get the reliable simulation results is to provide proper materials and contact parameters, which need to be determined in a series of laboratory experiments. For comminution simulation the additional parameters describing the breakage probability and breakage functions are necessary. While some simulation parameters are available in the literature for brittle materials, valid data are lacking for biomaterials such as cereal, rice or corn grains, especially for comminution parameters. The aim of this study was to present the calibration approach and determination of materials, contact, interaction and breakage parameters for grainy biomaterials. The calibration process was done for rice and corn grains. The calibration approach consists of grains size distribution and shape characterization, friction and restitution coefficient determination, and breakage probability description. Based on the results of the experiments, the models were created in the DEM software. The result was the set of calibrated parameters for rice and corn grains.

show abstract

Abnormal size effect of particle breakage probability under repeated impacts

Cited by 12 publications

References 48 publications

Study of Selected Physical-Mechanical Properties of Corn Grains Important from the Point of View of Mechanical Processing Systems Designing

Study of Selected Physical-Mechanical Properties of Corn Grains Important from the Point of View of Mechanical Processing Systems Designing

Experimental research on the strength distribution of brittle spheres under compression

Calibration of Selected Bulk Biomaterials Parameters for DEM Simulation of Comminution Process. Case Study: Corn and Rice Grains

Contact Info

Product

Resources

About