Impacts of caking on corn stover – An assessment of moisture content and consolidating pressure DOI
Ricardo Navar, Troy A. Semelsberger, Benjamin L. Davis

et al.

Powder Technology, Journal Year: 2024, Volume and Issue: 438, P. 119661 - 119661

Published: March 18, 2024

Language: Английский

Influence of feedstock variability on thermal decomposition of forest residue in a screw feeder for high temperature conversion DOI Creative Commons
Nepu Saha, Jordan Klinger, Steven M. Rowland

et al.

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

5

Rheological effects of moisture content on the anatomical fractions of loblolly pine (Pinus taeda) DOI
Ricardo Navar, Juan H. Leal, Benjamin L. Davis

et al.

Powder Technology, Journal Year: 2022, Volume and Issue: 412, P. 118031 - 118031

Published: Oct. 17, 2022

Language: Английский

Citations

7

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

et al.

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

Citations

1

Advanced biorefinery feedstock from non-recyclable municipal solid waste by mechanical preprocessing DOI Creative Commons
Nepu Saha, Jordan Klinger, Md Tahmid Islam

et al.

Frontiers 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

3

Biomass Attributes and Attribute Modifications Affecting Systems and Methods to Separate and Fractionate DOI
David B. Hodge,

William G. Otto,

John E. Aston

et al.

Springer eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 30

Published: Jan. 1, 2024

Language: Английский

Citations

0

Effect of Particle Size on Physical Properties of Rambutan Seed Powder DOI Creative Commons

So’bah Ahmad,

Rabiatul ‘Adawiyah Sayuti

Journal 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

0

Biomass Attributes and Attribute Modifications Affecting Systems and Methods to Separate and Fractionate DOI
David B. Hodge,

William G. Otto,

John E. Aston

et al.

Springer eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 231 - 260

Published: Jan. 1, 2024

Language: Английский

Citations

0

Elastic Recovery In-Die During Cyclic Loading of Solid Anaerobic Digestate DOI Open Access
Grzegorz Łysiak, Ryszard Kulig

Materials, 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

0

A high-performance discrete-element framework for simulating flow and jamming of moisture bearing biomass feedstocks DOI
Nicholas Deak, Hariswaran Sitaraman, Yimin Lu

et al.

Powder Technology, Journal Year: 2024, Volume and Issue: unknown, P. 120548 - 120548

Published: Dec. 1, 2024

Language: Английский

Citations

0

Techno-economic and life-cycle analysis of strategies for improving operability and biomass quality in catalytic fast pyrolysis of forest residues DOI Creative Commons
David N. Thompson, Damon Hartley, Matthew Wiatrowski

et al.

Next Energy, Journal Year: 2024, Volume and Issue: 7, P. 100225 - 100225

Published: Dec. 17, 2024

Language: Английский

Citations

0