Determination of some engineering properties of Jojoba granular matter [Simmondsia chinensis]

El-Emam, Mahmoud A.; Zhou, Lian; Shi, Weidong; Sobhi, Mostafa

doi:10.1007/s10035-023-01313-2

Cited by 5 publications

(4 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As we can see from the results presented in Figure 12a, the nature of the dependence of the spread distribution over the width of the field obtained during the experiment was quite close to the theoretical curve-the amount of fertilizer spread in the center was the highest, and it gradually decreased in the boxes farther away from the center. This happens due to the balance between the force of gravity and air resistance [34]. Such a tendency was also found in other scientific studies [17].…”

Section: Experiments Under Field Conditions and Simulation Spread Of ...supporting

confidence: 74%

“…It was found that, to spread the fertilizer dosage norms of 600, 800, and 1000 kg ha −1 , it is necessary to drive at a relatively low speed. Other scientific studies have found that, to achieve a more uniform distribution of cylindrical granules, it is important to increase the granule size by increasing the granule spreading flow [15], because the aerodynamic properties are greatly influenced by the size and mass of granulated fertilizers [34]. From the results of the granulated organic fertilizer spreading, using a fertilizer dosage norm of 1000 kg ha −1 and the spreader moving at a speed of 5 km h −1 (Figure 16), we can see that slightly different experimental results were obtained here compared to the results presented in Figures 12 and 15.…”

Section: Experiments Under Field Conditions and Simulation Spread Of ...mentioning

confidence: 99%

See 1 more Smart Citation

Theoretical and Experimental Verification of Organic Granular Fertilizer Spreading

Bivainis,

Jotautienė,

Lekavičienė

et al. 2023

Agriculture

View full text Add to dashboard Cite

Due to the continuous creation of organic granular fertilizers of the new composition, there is a lack of knowledge about their properties and the influence of the norm on spreading efficiency. To increase the efficiency of the use of granular organic fertilizers, their spreading aims are to properly choose the most rational spreading parameters and fertilizer norms, considering the characteristics of the fertilizer. To determine this quickly and with lower costs, various theoretical models and computer programs are used to study the dynamics of fertilizer spreading. The purpose of this work was to perform theoretical and experimental comparative studies of the influence of the characteristics and dosage norms of granular fertilizers of poultry manure on the spreading efficiency. During the research, the physical properties of granular poultry manure fertilizers were determined, which have an impact on the quality of spreading. Experimental studies of fertilizer spreading were carried out using two centrifugal spreaders with the same parameters (Amazone ZA-M-1001 (spreading dosage norm, 200 kg ha−1 and 400 kg ha−1; driving speed, 10 km h−1) and ZA-M-1201 (spreading dosage norm, 600 kg ha−1, 800 kg ha−1, and 1000 kg ha−1; driving speed, 5 km h−1)). Before the fertilizer was spread, measurements were made of the flow rate of the spreadable fertilizer through one bunker shutter. Fertilizer application simulations were performed using the discrete element simulation program EDEM. Research has shown that spreading the studied granular fertilizers at the dosage norm of 600 and 800 kg ha−1 allows for the future expansion of the limits of spreading research using a spreading simulation. The most important directions of research would be the research of the spreader vanes’ shape, length, and rational settings positions, using the standard commonly used centrifugal spreader, after making small modifications of the spreader, to achieve that the spreader could spread larger norms of fertilizer or drive faster during spreading.

show abstract

Section: Experiments Under Field Conditions and Simulation Spread Of ...supporting

confidence: 74%

Section: Experiments Under Field Conditions and Simulation Spread Of ...mentioning

confidence: 99%

Theoretical and Experimental Verification of Organic Granular Fertilizer Spreading

Bivainis,

Jotautienė,

Lekavičienė

et al. 2023

Agriculture

View full text Add to dashboard Cite

show abstract

“…Then, the particles are continually introduced into the cyclone inlet with a consistent gas velocity at a rate of 1500 particles per second, with a loading ratio of 500 seeds to 2500 leaves until 2 s of the simulation time. Accordingly, based on the experimental work and the particles’ physical properties, the feed particle mass loading is approximately 0.98 kg particle /kg gas , indicating a dilute flow. The cyclone performance, including separation (η s ) and cleaning (η c ) efficiencies and effectiveness (η), is calculated using eqs –. − Physical experiments have also been conducted to validate the numerical model, which is the same as in our previous work .…”

Section: Physical Model and Numerical Methodsmentioning

confidence: 99%

“…These seeds were modeled as sphere-polyhedron shapes, allowing them to simulate their complex geometry accurately and using their actual shapes and dimensions. For this purpose, we relied on the results of the prior extensive experimental studies, 142 which physically measured the actual shape and dimensions of the seeds. This empirical data revealed that the shape of the seed particles could be approximated as slightly elongated ovals, with a clear correlation between their dimensions and aspect ratio (length > width > thickness).…”

Section: Bioparticle Modelingmentioning

confidence: 99%

Modeling and Performance Analysis of Different Gas–Bioparticle Cyclone Separators: CFD–DEM Simulations

El-Emam,

Zhou,

Bai

et al. 2023

Ind. Eng. Chem. Res.

Self Cite

View full text Add to dashboard Cite

This research presents a comprehensive study aimed at investigating the influence of different cyclone geometries on the flow field and performance in gas−bioparticle flows. Five distinct cyclone designs, including Stairmand high-efficiency (St 1 ), Stairmand high-flow (St 2 ), Swift high-efficiency (Sw 1 ), Swift highflow (Sw 2 ), and typical Lapple (TL), were involved. The investigation utilized a combination of computational fluid dynamics (CFD) and the discrete element method (DEM) to model the gas−particle behavior. The DEM accounted for the motion of individual particles using Newton's equations, while the CFD solved the Navier−Stokes equations to model the gas flow as a continuous medium. This numerical model successfully simulated the cyclone performance under three-dimensional (3D) true shape modeling of large-sized nonspherical bioparticles considering the particle−particle and particle−wall interaction forces. The experimental validation and verification of the model demonstrated an acceptable agreement with the simulated data. The findings revealed that cyclone dimensions significantly impacted both performance and particle behavior even when operating under identical conditions. Cyclones with matching dimensions between the bottom and vortex finder exhibited improved separation efficiency, while an increase in the vortex finder's diameter led to decreased efficiency, as in St 2 and Sw 2 cyclones. A comprehensive force analysis pinpointed regions of intense particle−wall collisions, predominantly at the cone wall apex and the wall opposite the cyclone inlet, particularly evident in St 1 , Sw 1 , and TL cyclones. Notably, particle−particle interaction forces played a crucial role in cyclone performance with increased separation efficiency observed due to particle collisions. The particle−gas forces, including drag and pressure gradient forces, were mainly affected in the inlet region and extended into the cylindrical part. The pressure gradient force exhibited a minimal impact on particle behavior. Among the cyclone designs tested, the Sw 1 cyclone demonstrated outstanding performance, achieving an impressive effectiveness of 94.4% under the given operational conditions. These findings provide a better understanding of the working mechanisms of gas−particle cyclones and similar swirling multiphase flow systems, allowing for improved optimization.

show abstract

Introduction

Zhou,

Elemam,

Agarwal

et al. 2024

Discrete Element Method for Multiphase Flows With Biogenic Particles

View full text Add to dashboard Cite

Determination of some engineering properties of Jojoba granular matter [Simmondsia chinensis]

Cited by 5 publications

References 77 publications

Theoretical and Experimental Verification of Organic Granular Fertilizer Spreading

Theoretical and Experimental Verification of Organic Granular Fertilizer Spreading

Modeling and Performance Analysis of Different Gas–Bioparticle Cyclone Separators: CFD–DEM Simulations

Introduction

Contact Info

Product

Resources

About