Predicting Comminution of Lignocellulosic Biomass: Physical Experiment, Population Balance Model, and Deep Learning DOI
Minglei Lu, Yidong Xia, Tiasha Bhattacharjee

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

DEM simulation of maize milling in a hammer mill DOI

Alejandro Gabriel Chiaravalle,

Juliana Piña,

Ivana M. Cotabarren

и другие.

Powder Technology, Год журнала: 2025, Номер unknown, С. 120892 - 120892

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

The effect of air separations on fast pyrolysis products for forest residue feedstocks DOI Creative Commons
Nepu Saha, Jordan Klinger, Tiasha Bhattacharjee

и другие.

Fuel, Год журнала: 2024, Номер 375, С. 132572 - 132572

Опубликована: Июль 31, 2024

This study investigates the intricate relationship between biomass preprocessing and pyrolysis product yields, employing air classification technique for treatment of loblolly pine residues with varying moisture content. A comprehensive exploration physicochemical properties air-classified informs a sophisticated simulation model. Given complex multifaceted nature pyrolysis, operating across diverse temporal spatial scales, kinetics-based CFD–DEM method is employed to predict yields. Results showed that elevated content amplifies particle adhesiveness, necessitating augmented velocities effective separation, thereby influencing efficiency separation process. While carbon hydrogen contents exhibit relative stability blower frequencies, oxygen undergoes noticeable changes. For example, were measured as 29.2 38.6 wt% in light fraction 30 % sample at frequencies 10 20 Hz, respectively. An intriguing finding emerges from simulation, indicating lower frequency moderately enhances bio-oil yield significantly improves its quality, particularly terms water instance, was about 1.5 heavy fractions, respectively under 15 Hz frequency. In summary, detailed understanding strategic manipulation critical material attributes through efficient fractionation techniques are imperative advancing fast sustainable avenue renewable energy chemical production.

Язык: Английский

Процитировано

3

EDEM-based study on the adjustable feeding parameters of square bale maize straw bale-breaking device DOI Creative Commons
Tiejun Wang,

T Q Zhang,

Shuai Yu

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0317838 - e0317838

Опубликована: Янв. 30, 2025

One of the primary challenges faced by small rubbing filament machines is significant variability in material sizes, particularly feeding direction. This complicates processing locally baled straw with a single device. To address this issue, an adjustable and bale-breaking device was developed tested to enhance filamentous performance straw. The machine integrates series knives along pair rollers. paper presents overview machine’s structure operating principles, alongside analysis forces acting on within device, which informed design key components devices. A discrete element simulation model suitable for square baled-straw has been established, providing research foundation subsequent optimization parameters. Effects motor roller rotating speed ( x 1 ), height 2 ) knife quantity 3 productivity bonding bond destruction rate Y particle average were explored. Three-dimensional quadratic regression orthogonal rotation central combination experiment method combined response surface used conduct experiments explore interaction effects influence factors indicators. evaluation indicators established through variance. affecting ordered , . In factors, had extremely impact, impact ; optimal working parameters determined be 1448 rpm 268 mm 14 pieces Verification demonstrated that actual values 96.95% 235.13 kg/(kW·h) per unit power productivity. operation study proved effective enhancing breaking during It successfully met requirements grain size necessary comprehensive utilization Overall, establishes foundational basis further development small, multipurpose machine.

Язык: Английский

Процитировано

0

The role of flexural particles in the shear flow of pine residue biomass: An experiment-informed DEM simulation study DOI Creative Commons
Yidong Xia, Ricardo Navar,

Zakia Tasnim

и другие.

Powder Technology, Год журнала: 2024, Номер 440, С. 119771 - 119771

Опубликована: Апрель 17, 2024

An experiment-informed discrete particle simulation study was performed to investigate the role of flexural particles in shear flow milled pine residues. Physical anatomical fraction samples were tested an FT4 powder rheometer. A chip model for bark/stem chips and a fiber needles proposed DEM. The simulations show mixed fibers/chips require higher force torque drive than pure or fibers. mass flexibility fibers reveal nonlinear inter-dependency on impacting fibers/chips. Polydisperse well match needle-rich attributes, while polydisperse agree reasonably with bark/stem-rich samples. DEM indicates that flowability residue biomass is determined collectively by various material attributes fractions, which must be considered when developing preprocessing methods conversion-ready adequate handling performance.

Язык: Английский

Процитировано

3

Construction of Maize Threshing Model by DEM Simulation DOI Creative Commons
Jiangtao Ji,

Tianci Jin,

Qianwen Li

и другие.

Agriculture, Год журнала: 2024, Номер 14(4), С. 587 - 587

Опубликована: Апрель 8, 2024

This paper proposes a modeling method of maize in threshing. The static friction coefficient and rolling resistance the grain were measured using slope method. stacking angle test was designed central composite design response surface test. A regression model established based on simulation results to find best combination. suggested that proposed this effective improving accuracy compared with previous methods. Furthermore, presents verify feasibility reliability cob discrete element distribution granary final removal rate as verification actually simulated threshing analyzed Wilcoxon signed-rank test, heat map analysis, Spearman’s rank correlation coefficient. It found DEM is suitable for simulating process. can aid further research subject.

Язык: Английский

Процитировано

1

Predicting biomass comminution: Physical experiment, population balance model, and deep learning DOI Creative Commons
Minglei Lu, Yidong Xia, Tiasha Bhattacharjee

и другие.

Powder Technology, Год журнала: 2024, Номер 441, С. 119830 - 119830

Опубликована: Май 1, 2024

An extended population balance model (PBM) and a deep learning-based enhanced neural operator (DNO+) are introduced for predicting particle size distribution (PSD) of comminuted biomass through large knife mill. Experimental tests using corn stalks with varied moisture contents, mill blade speeds, discharge screen sizes conducted to support development. A novel mechanism in the PBM allows including additional input parameters such as content, which is not possible original PBM. The DNO+ can include influencing factors different data types content size, significantly extends engineering applicability standard DNO that only admits feed PSD outcome PSD. Test results show both models remarkably accurate calibration or training parameter space be used surrogate provide effective guidance preprocessing design.

Язык: Английский

Процитировано

1

DISCRETE ELEMENT METHOD USED TO ANALYZE THE OPERATING PARAMETERS OF THE CUTTING TABLE OF CRAWLER SELF-PROPELLED REED HARVESTER DOI Open Access

Kuizhou Ji,

Yaoming LI,

Binbin JI

и другие.

INMATEH Agricultural Engineering, Год журнала: 2023, Номер unknown, С. 345 - 355

Опубликована: Дек. 31, 2023

In this paper, the basic rigid unit and discrete element model of reed stem flexible were established by means multi-spherical filling other methods. Then, three-point bending test was carried out in EDEM software to complete calibration bonding parameters. Finally, simulation analysis with loss rate as index. The results show that optimal parameter combination is 46 r/min for transverse transmission device, 53 vertical clamping longitudinal 470 mm center distance drum. initial field verifies maximum harvester header 49 conveying device header, 51 conveyor 1.1 m/s forward speed harvester, 3.36%, consistent results.

Язык: Английский

Процитировано

3

Predicting Comminution of Lignocellulosic Biomass: Physical Experiment, Population Balance Model, and Deep Learning DOI
Minglei Lu, Yidong Xia, Tiasha Bhattacharjee

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0