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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004699naa a2200493 4500
001oai:DiVA.org:ltu-93658
003SwePub
008221020s2022 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-936582 URI
0247 a https://doi.org/10.1007/s13399-022-03307-12 DOI
040 a (SwePub)ltu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Cousins, Dylan S.u Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920, Bozeman, MT, 59717-3920, USA4 aut
2451 0a Predictive models enhance feedstock quality of corn stover via air classification
264 c 2022
264 1b Springer Nature,c 2022
338 a print2 rdacarrier
500 a Funder: US Department of Energy’s Office of Energy Efficency and Renewable Energy (EERE) Bioenergy Technologies Office (BETO) and FOA0002029 (DE-EE000890)
520 a Feedstock heterogeneity is a fundamental obstacle to cost-competitive biobased products. Agricultural products like corn stover have anatomical components that vary in their chemical composition, mechanical properties, structure, and response to chemical and biological treatments. A technique that can enrich streams in select anatomical fractions would allow a tailored deconstruction approach to increase overall process efficiency. Air classification can be leveraged for such refining; however, fundamental characterization and understanding of the particle properties that underly the physics of air classification are only modestly documented. Here, we determine fundamental particle properties including mass-to-area ratio, drag coefficient, and partition velocity that describe how anatomical tissues of corn stover behave during air classification. Mass-to-area ratios of anatomical tissues vary by nearly two orders of magnitude from 2.3 mg/mm2 for cob to 0.04 mg/mm2 for leaf. Drag coefficients of longer, fibrous materials (i.e., rind, husk, and sheath) are shown to correlate with particle area (p-value < 0.001) whereas granular tissues (i.e., cob, pith, and leaf) correlate better with mass-to-area ratio (p-values < 0.001). When compared to experimental observations, a simulated two-stage air classification and size reduction scenario predicts the overall partitioning of anatomical tissues within 15% for pith, husk, rind, and cob tissues. The model predicts an air-classified fraction preferentially enriched in cob (purity = 20%), rind (purity = 74%), and pith (purity = 4.5%) with a mass yield of 47%. Empirical relations for these properties can be used to predict the partitioning of corn stover during air classification based on anatomical type and size.
650 7a NATURVETENSKAPx Biologix Biokemi och molekylärbiologi0 (SwePub)106022 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Biochemistry and Molecular Biology0 (SwePub)106022 hsv//eng
653 a Air classification
653 a Feedstock enhancement
653 a Feedstock enhancement
653 a Biorefnery
653 a Particle image analysis
653 a Comminution
653 a Biomass separation
653 a Biokemisk processteknik
653 a Biochemical Process Engineering
7001 a Rony, Asif Hasanu Idaho National Laboratory, Idaho Falls, ID, USA4 aut
7001 a Otto, William G.u Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920, Bozeman, MT, 59717-3920, USA4 aut
7001 a Pedersen, Kristian P.u Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920, Bozeman, MT, 59717-3920, USA4 aut
7001 a Hernandez, Sergiou Idaho National Laboratory, Idaho Falls, ID, USA4 aut
7001 a Lacey, Jeffrey A.u Idaho National Laboratory, Idaho Falls, ID, USA4 aut
7001 a Aston, John E.u Idaho National Laboratory, Idaho Falls, ID, USA4 aut
7001 a Hodge, David B.u Luleå tekniska universitet,Kemiteknik,Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920, Bozeman, MT, 59717-3920, USA4 aut0 (Swepub:ltu)davhod
7102 a Department of Chemical and Biological Engineering, Montana State University, 306 Cobleigh Hall, PO Box 173920, Bozeman, MT, 59717-3920, USAb Idaho National Laboratory, Idaho Falls, ID, USA4 org
7730 t Biomass Conversion and Biorefineryd : Springer Naturex 2190-6815x 2190-6823
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-93658
8564 8u https://doi.org/10.1007/s13399-022-03307-1

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