Applied Thermal Engineering, Journal Year: 2022, Volume and Issue: 207, P. 118179 - 118179
Published: Feb. 7, 2022
Language: Английский
Applied Thermal Engineering, Journal Year: 2022, Volume and Issue: 207, P. 118179 - 118179
Published: Feb. 7, 2022
Language: Английский
Energy, Journal Year: 2023, Volume and Issue: 282, P. 128874 - 128874
Published: Aug. 29, 2023
Language: Английский
Citations
76Chemical Engineering Science, Journal Year: 2021, Volume and Issue: 248, P. 117131 - 117131
Published: Sept. 19, 2021
Language: Английский
Citations
65Journal of Analytical and Applied Pyrolysis, Journal Year: 2022, Volume and Issue: 162, P. 105433 - 105433
Published: Jan. 10, 2022
Language: Английский
Citations
62Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 414, P. 116195 - 116195
Published: July 7, 2023
Language: Английский
Citations
39AIChE Journal, Journal Year: 2024, Volume and Issue: 70(5)
Published: March 12, 2024
Abstract The understanding of complex fluidization hydrodynamics and chemical reactions in biomass fast pyrolysis fluidized bed reactors is lacking requires further investigation. It urgent to develop accurate mathematical models capable describing the multiphase reaction system pyrolysis. A comprehensive multiscale model based on coarse‐grained discrete element method (DEM)‐computational fluid dynamics (CFD) was developed open‐source MFiX code. incorporates detailed kinetics an intraparticle model. To validate model, measurements were conducted a pyrolyzer, including quantifying segmental pressure drop along height determining yields compositions gas, liquid, solid products. particle mixing segregation, axial distribution residence time, Lacey index, products investigated. study provides experimental theoretical foundations for designing advancing thermochemical conversion.
Language: Английский
Citations
11Journal of Analytical and Applied Pyrolysis, Journal Year: 2025, Volume and Issue: unknown, P. 107053 - 107053
Published: Feb. 1, 2025
Language: Английский
Citations
1Chemical Engineering Journal, Journal Year: 2021, Volume and Issue: 429, P. 132415 - 132415
Published: Sept. 14, 2021
Tons of products are facilitated through powder mixing processes. The quality the final is highly influenced by state. Hence, detailed information about state necessary to improve quality. Recent remarkable advancements in computer hardware enable evaluation via numerical simulation. Discrete Element Method (DEM) frequently used simulations, where computational particle shapes typically modeled a spherical body. On other hand, not all industries spherical, and structure industrial mixers generally complex. Thus, when DEM applied an mixer, modeling shape complex may be taken into consideration. In present study, innovative model newly developed simulate non-spherical particles mixer. Here, ellipsoidal equation, mixer using Signed Distance Function (SDF), wall boundary flexibly scalar field. This approach referred as DEM/SDF. current adequacy applicability DEM/SDF demonstrated following steps. First, compatibility with SDF soft linear spring validation tests. Subsequently, effect on progress ribbon examined. Through computations, shown insignificant Consequently, applicable mixing, therefore, will contribute optimization design operational conditions chemical, food, pharmaceutical engineering fields.
Language: Английский
Citations
52Chemical Engineering Journal, Journal Year: 2021, Volume and Issue: 431, P. 133853 - 133853
Published: Nov. 27, 2021
Language: Английский
Citations
47Powder Technology, Journal Year: 2023, Volume and Issue: 427, P. 118682 - 118682
Published: May 27, 2023
Language: Английский
Citations
21Flow Turbulence and Combustion, Journal Year: 2023, Volume and Issue: 111(2), P. 355 - 408
Published: July 4, 2023
Abstract In a pyrolysis reactor, organic polymers from biomass or plastic waste are thermally decomposed into volatile gases, condensable vapours (tar bio-oil) and solid residues (char). Since these products may serve as building blocks for downstream chemical refinement form the basis of bio-derived fuels, is thought to be instrumental in our progress towards circular economy. A reactor constitutes multiphase reactive system whose operation influenced by many physical phenomena that occur at different scales. Because interactions potential reinforcements processes difficult isolate elucidate experimentally, development predictive modelling tool, example, based on CFD-DEM (discrete element method) methodology, attracting increasing attention, particularly reactors operated with feedstock. By contrast, descriptions remain challenge present, mainly due an incomplete understanding their melting behaviour. this article, we provide blueprint describing process within scope CFD-DEM, review choices made past investigations detail underlying assumptions. Furthermore, influence operating conditions feedstock properties key metrics process, such conversion, product composition residence time, determined analyses surveyed systematised. Open challenges identify pertain incorporation particle non-sphericity polydispersity, plastics, shrinkage, exothermicity part gas-particle chemistry catalytic effects.
Language: Английский
Citations
19