Discrete element modeling of switchgrass particles under compression and rotational shear

Guo, Yuan; Chen, Qiushi; Xia, Yidong; Westover, Tyler L.; Ekşioğlu, Sandra D.; Roni, Mohammad

doi:10.1016/j.biombioe.2020.105649

Cited by 32 publications

(16 citation statements)

References 45 publications

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“…The method has been applied in numerous areas of science and technology, including physics [26], pharmaceutical science [27], civil engineering [28], and agricultural engineering [29]. This method is a very promising tool for modelling biomass post-harvest processing, including handling [30][31][32], compaction [33], and testing biomass bulk properties [34]. The DEM extended with the bonded particle model (BPM) considerably broadened the range of applicability of the DEM to model the internal structure and breakage of agglomerates composed of numerous particles [35,36].…”

Section: Introductionmentioning

confidence: 99%

“…The DEM extended with the bonded particle model (BPM) considerably broadened the range of applicability of the DEM to model the internal structure and breakage of agglomerates composed of numerous particles [35,36]. The method has been applied to model the bulk behaviour of deformable biomass fibres [34], packing of flexible fibres [37], compaction of wood chips [38], durability [39], and the strength of pellets [40]. Xia et al [41] provided a comprehensive discussion of the challenges of modelling the behaviour of the bulk of complex-shaped particles of wood biomass by using the DEM.…”

Section: Introductionmentioning

confidence: 99%

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Breakage Strength of Wood Sawdust Pellets: Measurements and Modelling

Horabik¹,

Bańda²,

Józefaciuk³

et al. 2021

Materials

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Wood pellets are an important source of renewable energy. Their mechanical strength is a crucial property. In this study, the tensile strength of pellets made from oak, pine, and birch sawdust with moisture contents of 8% and 20% compacted at 60 and 120 MPa was determined in a diametral compression test. The highest tensile strength was noted for oak and the lowest for birch pellets. For all materials, the tensile strength was the highest for a moisture content of 8% and 120 MPa. All pellets exhibited a ductile breakage mode characterised by a smooth and round stress–deformation relationship without any sudden drops. Discrete element method (DEM) simulations were performed to check for the possibility of numerical reproduction of pelletisation of the sawdust and then of the pellet deformation in the diametral compression test. The pellet breakage process was successfully simulated using the DEM implemented with the bonded particle model. The simulations reproduced the results of laboratory testing well and provided deeper insight into particle–particle bonding mechanisms. Cracks were initiated close to the centre of the pellet and, as the deformation progressed, they further developed in the direction of loading.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Breakage Strength of Wood Sawdust Pellets: Measurements and Modelling

Horabik¹,

Bańda²,

Józefaciuk³

et al. 2021

Materials

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show abstract

“…For example, learners' learning interests and their own stored knowledge, ability, experience, motivation, time, etc. [14,15]. According to the existing data, the learning effect of multimedia is affected by its own reserved knowledge and experience and personal cognitive ability [16].…”

Section: Related Workmentioning

confidence: 99%

The Influence of Multimedia Input Mode Based on Complex System Discrete Model on College Students’ English Ability

Wang

Zhao

2021

Discrete Dynamics in Nature and Society

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With the rapid development of the Internet, the amount of data increases sharply. In this network age, data have been generated, such as multimedia, social networks, and search records. Due to the generation of data, complex system discrete model technology is also widely used in all walks of life. Multimedia learning is a popular teaching mode in the world. Through the discrete model technology of the complex system, this paper deeply studies the impact of multimedia input on college students’ English ability. Because the modeling and sampling of complex systems are abstract and not fixed, approximation and control methods are adopted in discrete time, which greatly improves the reliability of the final research results. Compared with the original discrete modeling technology, this paper adds data sampling compression and assimilation technology on the basis of the original discrete modeling technology of the complex system. The results show that, by adding the technical application of controllable and observable systems, the discrete model of the whole complex system can reduce the error of the final output data. At the same time, this paper compresses and simplifies the data nodes at the microlevel. Macroscopically, it reduces the scale, especially the number of node data compression. The final result also realizes the data scale and greatly shortens the calculation time. This study has greatly improved the accuracy of the impact of multimedia on Chinese college students’ English ability in practical application.

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“…Thus, outcomes of DEM models can be used to develop functional relationships between biomass type, biomass moisture level, mill speed in grinders and density to be included in optimization. There are a few DEM models for biomass feedstocks, such as, Guo et al [40] which focuses on switchgrass and Xia et al [41] which focuses on pinewood.…”

Section: Conclusion and Future Research Directionsmentioning

confidence: 99%

Optimal Control to Handle Variations in Biomass Feedstock Characteristics and Reactor In-Feed Rate

Kucuksayacigil,

Roni,

Eksioglu

et al. 2021

Preprint

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The variations in feedstock characteristics such as moisture and particle size distribution lead to an inconsistent flow of feedstock from the biomass pre-processing system to the reactor in-feed system. These inconsistencies result in low on-stream times at the reactor in-feed equipment. This research develops an optimal process control method for a biomass preprocessing system comprised of milling and densification operations to provide the consistent flow of feedstock to a reactor's throat. This method uses a mixed-integer optimization model to identify optimal bale sequencing, equipment in-feed rate, and buffer location and size in the biomass pre-processing system. This method, referred to as the hybrid process control (HPC), aims to maximize throughput over time. We compare HPC with a baseline feed forward process control. Our case study based on switchgrass finds that HPC reduces the variation of a reactor's feeding rate by 100% without increasing the operating cost of the biomass pre-processing system for biomass with moisture ranging from 10 to 25%. A biorefinery can adapt HPC to achieve its design capacity.

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Discrete element modeling of switchgrass particles under compression and rotational shear

Cited by 32 publications

References 45 publications

Breakage Strength of Wood Sawdust Pellets: Measurements and Modelling

Breakage Strength of Wood Sawdust Pellets: Measurements and Modelling

The Influence of Multimedia Input Mode Based on Complex System Discrete Model on College Students’ English Ability

Optimal Control to Handle Variations in Biomass Feedstock Characteristics and Reactor In-Feed Rate

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