Optimization of castor and neem biodiesel blends and development of empirical models to predicts its characteristics
• Oil was extracted from castor and neem seeds. • Castor and neem biodiesel were obtained through transesterification with acid catalyst. • Different biodiesel blends were made and characterized as per ASTM methods. • Blend ratio 50:50 was found suitable based on the basis of kinematic viscosity, de...
Ausführliche Beschreibung
Autor*in: |
Mallah, Tofique Ahmed [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias - Yang, Chaoqiang ELSEVIER, 2018, the science and technology of fuel and energy, New York, NY [u.a.] |
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Übergeordnetes Werk: |
volume:262 ; year:2020 ; day:15 ; month:02 ; pages:0 |
Links: |
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DOI / URN: |
10.1016/j.fuel.2019.116341 |
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520 | |a • Oil was extracted from castor and neem seeds. • Castor and neem biodiesel were obtained through transesterification with acid catalyst. • Different biodiesel blends were made and characterized as per ASTM methods. • Blend ratio 50:50 was found suitable based on the basis of kinematic viscosity, density, cloud point and pour point. • The empirical models were developed to predict the characteristics of the castor and neem biodiesel blends. | ||
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10.1016/j.fuel.2019.116341 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000828.pica (DE-627)ELV048661554 (ELSEVIER)S0016-2361(19)31695-3 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Mallah, Tofique Ahmed verfasserin aut Optimization of castor and neem biodiesel blends and development of empirical models to predicts its characteristics 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Oil was extracted from castor and neem seeds. • Castor and neem biodiesel were obtained through transesterification with acid catalyst. • Different biodiesel blends were made and characterized as per ASTM methods. • Blend ratio 50:50 was found suitable based on the basis of kinematic viscosity, density, cloud point and pour point. • The empirical models were developed to predict the characteristics of the castor and neem biodiesel blends. Empirical models Elsevier Neem biodiesel Elsevier Optimization quality Elsevier Castor biodiesel Elsevier Sahito, Abdul Razaque oth Enthalten in Elsevier Yang, Chaoqiang ELSEVIER Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias 2018 the science and technology of fuel and energy New York, NY [u.a.] (DE-627)ELV000307122 volume:262 year:2020 day:15 month:02 pages:0 https://doi.org/10.1016/j.fuel.2019.116341 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 262 2020 15 0215 0 |
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10.1016/j.fuel.2019.116341 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000828.pica (DE-627)ELV048661554 (ELSEVIER)S0016-2361(19)31695-3 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Mallah, Tofique Ahmed verfasserin aut Optimization of castor and neem biodiesel blends and development of empirical models to predicts its characteristics 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Oil was extracted from castor and neem seeds. • Castor and neem biodiesel were obtained through transesterification with acid catalyst. • Different biodiesel blends were made and characterized as per ASTM methods. • Blend ratio 50:50 was found suitable based on the basis of kinematic viscosity, density, cloud point and pour point. • The empirical models were developed to predict the characteristics of the castor and neem biodiesel blends. Empirical models Elsevier Neem biodiesel Elsevier Optimization quality Elsevier Castor biodiesel Elsevier Sahito, Abdul Razaque oth Enthalten in Elsevier Yang, Chaoqiang ELSEVIER Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias 2018 the science and technology of fuel and energy New York, NY [u.a.] (DE-627)ELV000307122 volume:262 year:2020 day:15 month:02 pages:0 https://doi.org/10.1016/j.fuel.2019.116341 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 262 2020 15 0215 0 |
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10.1016/j.fuel.2019.116341 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000828.pica (DE-627)ELV048661554 (ELSEVIER)S0016-2361(19)31695-3 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Mallah, Tofique Ahmed verfasserin aut Optimization of castor and neem biodiesel blends and development of empirical models to predicts its characteristics 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Oil was extracted from castor and neem seeds. • Castor and neem biodiesel were obtained through transesterification with acid catalyst. • Different biodiesel blends were made and characterized as per ASTM methods. • Blend ratio 50:50 was found suitable based on the basis of kinematic viscosity, density, cloud point and pour point. • The empirical models were developed to predict the characteristics of the castor and neem biodiesel blends. Empirical models Elsevier Neem biodiesel Elsevier Optimization quality Elsevier Castor biodiesel Elsevier Sahito, Abdul Razaque oth Enthalten in Elsevier Yang, Chaoqiang ELSEVIER Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias 2018 the science and technology of fuel and energy New York, NY [u.a.] (DE-627)ELV000307122 volume:262 year:2020 day:15 month:02 pages:0 https://doi.org/10.1016/j.fuel.2019.116341 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 262 2020 15 0215 0 |
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10.1016/j.fuel.2019.116341 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000828.pica (DE-627)ELV048661554 (ELSEVIER)S0016-2361(19)31695-3 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Mallah, Tofique Ahmed verfasserin aut Optimization of castor and neem biodiesel blends and development of empirical models to predicts its characteristics 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Oil was extracted from castor and neem seeds. • Castor and neem biodiesel were obtained through transesterification with acid catalyst. • Different biodiesel blends were made and characterized as per ASTM methods. • Blend ratio 50:50 was found suitable based on the basis of kinematic viscosity, density, cloud point and pour point. • The empirical models were developed to predict the characteristics of the castor and neem biodiesel blends. Empirical models Elsevier Neem biodiesel Elsevier Optimization quality Elsevier Castor biodiesel Elsevier Sahito, Abdul Razaque oth Enthalten in Elsevier Yang, Chaoqiang ELSEVIER Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias 2018 the science and technology of fuel and energy New York, NY [u.a.] (DE-627)ELV000307122 volume:262 year:2020 day:15 month:02 pages:0 https://doi.org/10.1016/j.fuel.2019.116341 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 262 2020 15 0215 0 |
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• Oil was extracted from castor and neem seeds. • Castor and neem biodiesel were obtained through transesterification with acid catalyst. • Different biodiesel blends were made and characterized as per ASTM methods. • Blend ratio 50:50 was found suitable based on the basis of kinematic viscosity, density, cloud point and pour point. • The empirical models were developed to predict the characteristics of the castor and neem biodiesel blends. |
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• Oil was extracted from castor and neem seeds. • Castor and neem biodiesel were obtained through transesterification with acid catalyst. • Different biodiesel blends were made and characterized as per ASTM methods. • Blend ratio 50:50 was found suitable based on the basis of kinematic viscosity, density, cloud point and pour point. • The empirical models were developed to predict the characteristics of the castor and neem biodiesel blends. |
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• Oil was extracted from castor and neem seeds. • Castor and neem biodiesel were obtained through transesterification with acid catalyst. • Different biodiesel blends were made and characterized as per ASTM methods. • Blend ratio 50:50 was found suitable based on the basis of kinematic viscosity, density, cloud point and pour point. • The empirical models were developed to predict the characteristics of the castor and neem biodiesel blends. |
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