Powder Technology, Journal Year: 2024, Volume and Issue: 438, P. 119661 - 119661
Published: March 18, 2024
Language: Английский
Powder Technology, Journal Year: 2024, Volume and Issue: 438, P. 119661 - 119661
Published: March 18, 2024
Language: Английский
Fuel Processing Technology, Journal Year: 2023, Volume and Issue: 245, P. 107725 - 107725
Published: March 11, 2023
Thermochemical conversion of biomass uses high temperatures to break down the feedstock into products. Feeding reactor, however, can be a challenge that impedes smooth operation thermochemical process. The aim this study was investigate effect compositional variability on material deposition screw feeder during pyrolysis reactor feeding. Four different sample sets derived from pine (Pinus Taeda), 1st (rich in stem wood), 2nd bark and needles), 3rd 4th (whole residues), were used while operated at 500 °C. Results showed set consisted with cleaner experienced relatively less solid tar feeder. For example, lowest pseudo accumulation rate 0.5 pitch/kg-feed for highest 6.7 showing strong dependance. Simulations temperature prediction inside auger explored surface exposed (ΔTavg = 93 °C) outlet purge gas region 126 °C). This drop would likely reduce formation deposits allowing system longer periods continuous operation.
Language: Английский
Citations
5Powder Technology, Journal Year: 2022, Volume and Issue: 412, P. 118031 - 118031
Published: Oct. 17, 2022
Language: Английский
Citations
7Powder 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
Citations
1Frontiers in Fuels, Journal Year: 2023, Volume and Issue: 1
Published: Feb. 22, 2023
Because of accelerated urbanization and the development a global economy, large quantity municipal solid waste (MSW) has been collected disposed by municipalities. Due to this drastic increase in disposal MSW, need for its management is must preserve environment. Currently, approximately 50% total MSW generated United States utilized through various recycling, combustion, composting technologies, which means remaining sent landfill; often known as non-recyclable (nMSW). As nMSW physically chemically heterogenous contains very high amounts inorganic material, processing required prior using it biorefinery feedstock. Thus, study focused on how mechanical preprocessing advanced physical chemical properties nMSW. The were investigated terms particle size distribution, bulk density, ultimate proximate analysis, higher heating value (HHV). combustion examined ignition temperature, peak heat release rate, efficiency. Results showed that variability can be reduced preprocessing. For example, density as-received was 17.3% while 5.8% when sample 2 mm. Similarly, ash HHV from 49.2% 11.0% 13.4%–4.2%, respectively. Combustion thermograms reduction positively improved properties. mm spec started ignite 4 times earlier took 6.5 folds less time reach rate compared Overall, addition improvement behavior one step forward toward
Language: Английский
Citations
3Springer eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 30
Published: Jan. 1, 2024
Language: Английский
Citations
0Journal of Research in Nanoscience and Nanotechnology, Journal Year: 2024, Volume and Issue: 7(2), P. 1 - 8
Published: May 18, 2024
Rambutan seed powder is derived from the crushing of dried rambutan (Nephelium lappaceum L.) and it promisingly used as an incorporating into food product. However, there limited information on effects particle size handling processing in industry. Therefore, a study was performed to determine sizes physical properties seeds powder. The measured moisture content, bulk tapped density, well flowability characteristics. In this work, powders were classified based their mean diameter (d50) that ranged between less than 250 μm, μm 750 more μm. fine (RSP) with exhibited best characteristics holds lowest 5.42% fair passable flow properties, Hausner ratio 1.26 ± 1.20. results indicated significant impact cohesivity, where smaller tended decrease caused caking agglomeration, which led undesirable quality
Language: Английский
Citations
0Springer eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 231 - 260
Published: Jan. 1, 2024
Language: Английский
Citations
0Materials, Journal Year: 2024, Volume and Issue: 17(23), P. 5976 - 5976
Published: Dec. 6, 2024
Anaerobic digestate represents a valuable organic by-product, with one of the main challenges being its enhanced utilization. Pelletization offers potential benefits by improving digestate's storability, facilitating transport, and significantly expanding application as fertilizer or biofuel. Understanding mechanisms densification their impact on final product quality is essential served inspiration for this research. Its primary focus was stress relaxation subsequent elongation pellets within compaction chamber (in-die). It investigated hypothesis that elastic recovery, resulting from internal once compressive force removed, has direct implications pellet quality. The investigations were conducted using Zwick universal machine. Samples varied moisture levels, i.e., 10, 13, 16, 19, 22%, loaded amplitudes 8, 11, 14, 17, 20 kN. Ten loading unloading cycles employed. Elastic recovery (in-die) (ER
Language: Английский
Citations
0Powder Technology, Journal Year: 2024, Volume and Issue: unknown, P. 120548 - 120548
Published: Dec. 1, 2024
Language: Английский
Citations
0Next Energy, Journal Year: 2024, Volume and Issue: 7, P. 100225 - 100225
Published: Dec. 17, 2024
Language: Английский
Citations
0