Predicting biomass comminution: Physical experiment, population balance model, and deep learning

Powder Technology, Journal Year: 2024, Volume and Issue: 441, P. 119830 - 119830

Published: May 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.

Language: Английский

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Effects of Coarse Aggregate Morphology on Asphalt Mixture’s Flowability: Parametric and Prediction study

Case Studies in Construction Materials, Journal Year: 2024, Volume and Issue: 21, P. e03735 - e03735

Published: Sept. 6, 2024

Language: Английский

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Predicting Comminution of Lignocellulosic Biomass: Physical Experiment, Population Balance Model, and Deep Learning

Published: Jan. 1, 2024

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Language: Английский

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A new cube movement test for verification of simulations of contact processes of blocks of different size in geological hazards

International Journal for Numerical and Analytical Methods in Geomechanics, Journal Year: 2024, Volume and Issue: 48(6), P. 1553 - 1580

Published: Jan. 28, 2024

Abstract In many geological hazards, such as landslides, a large number of irregular blocks start moving. Their interaction on the way down renders prediction disaster scopes difficult. To study this process and to provide novel method for validation calibration numerical tools its simulation, cube movement test is designed. The goal research obtain patterns cubes, starting from different initial stacking arrangements. Cubes four sizes are inserted into hollow cylinder. distribution after lifting cylinder determined. Three categories tests refer three strategies filling cubes order simulate tests, tool developed in framework continuum–discontinuum element (CDEM). contact between individual modeled by contact‐pairs‐based algorithm. Both state type detected determining half‐space relation pairs. final positions strongly related their arrangement. latter every test, even if same strategy used fill It found that at least 20 experiments/simulations required statistically representative results. new provides valuable data simulation mass processes. proposed captures complicated movements blocks.

Language: Английский

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Effect of spreader and particle properties on powder bed generation with discrete element method in additive manufacturing

Powder Technology, Journal Year: 2024, Volume and Issue: 449, P. 120420 - 120420

Published: Nov. 3, 2024

Language: Английский

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Discrete element modeling of irregular-shaped soft pine particle flow in an FT4 powder rheometer

Powder Technology, Journal Year: 2024, Volume and Issue: 450, P. 120437 - 120437

Published: Nov. 17, 2024

Language: Английский

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