FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3091844991> ?p ?o ?g. }

• W3091844991 endingPage "124563" @default.
• W3091844991 startingPage "124563" @default.
• W3091844991 abstract "Multi-objective optimization (MOO) via normal boundary intersection algorithm for achieving high quality biodiesel suitable for diesel engine operation using a case study of rubber-seed oil transesterification process was studied. A sequence of experiments was carried out at different settings of the process variables prescribed by the experimental design and response surface methodology (RSM). The interactive effects of the system parameters were calculated in terms of yield (Y), kinematic viscosity (KV) and cetane number (CN). The results of the RSM study were further applied in the MOO of both the biodiesel production yield and some key fuel performance parameters including; the KV and the CN. The design problem requires that the process yield is maximized while the KV and CN are either minimized or constrained to their useful standards. Considering the observed trends in the design objectives, a suitable algorithm called normal boundary intersection (NBI) algorithm was applied to solve the multi-objective optimization problem. The optimal results were gathered as a pareto-front plotted between biodiesel production yields and KV while the CN was fixed, at comparable conditions for optimum response. The pareto-front reveals the necessary trade-offs to the design objectives required to achieve both optimum yield and improved fuel properties. The results revealed that with minimal trade-off to the design objectives, some desirable fuel properties such as low viscosity in the range of 0.5–3.5 mm2/s and centane of 47 can be achieved simultaneously with high biodiesel production yields in the range of 90–100%. Transition to the optimum yield (≥91%), kinematic viscosity (1.3 mm2/s) and cetane number (47) were achieved simultaneously with reaction temperature of 40 °C, reaction time of 136 min, methanol ratio of 3 and catalyst concentration of 0.83%. Validation experimental at the optimum responses gave a mean error indices of Y (±4.37), KV (±0.95) and CN (±1.14). MOO can be generalized for other biodiesel production processes." @default.
• W3091844991 created "2020-10-15" @default.
• W3091844991 creator A5013623039 @default.
• W3091844991 creator A5018077056 @default.
• W3091844991 creator A5064125876 @default.
• W3091844991 creator A5073697988 @default.
• W3091844991 creator A5089983921 @default.
• W3091844991 date "2021-01-01" @default.
• W3091844991 modified "2023-10-14" @default.
• W3091844991 title "Optimal route for effective conversion of rubber seed oil to biodiesel with desired key fuel properties" @default.
• W3091844991 cites W1910994740 @default.
• W3091844991 cites W2006302014 @default.
• W3091844991 cites W2012362537 @default.
• W3091844991 cites W2018721028 @default.
• W3091844991 cites W2022701255 @default.
• W3091844991 cites W2059542423 @default.
• W3091844991 cites W2059997263 @default.
• W3091844991 cites W2063014359 @default.
• W3091844991 cites W2091288697 @default.
• W3091844991 cites W2149335914 @default.
• W3091844991 cites W2231338554 @default.
• W3091844991 cites W2293483347 @default.
• W3091844991 cites W2600055474 @default.
• W3091844991 cites W2606528670 @default.
• W3091844991 cites W2616781605 @default.
• W3091844991 cites W2783251730 @default.
• W3091844991 cites W2801392659 @default.
• W3091844991 cites W2803024806 @default.
• W3091844991 cites W2810977803 @default.
• W3091844991 cites W2811389157 @default.
• W3091844991 cites W2811443445 @default.
• W3091844991 cites W2908831280 @default.
• W3091844991 cites W2913730132 @default.
• W3091844991 cites W2944635930 @default.
• W3091844991 cites W2954512155 @default.
• W3091844991 doi "https://doi.org/10.1016/j.jclepro.2020.124563" @default.
• W3091844991 hasPublicationYear "2021" @default.
• W3091844991 type Work @default.
• W3091844991 sameAs 3091844991 @default.
• W3091844991 citedByCount "9" @default.
• W3091844991 countsByYear W30918449912021 @default.
• W3091844991 countsByYear W30918449912022 @default.
• W3091844991 countsByYear W30918449912023 @default.
• W3091844991 crossrefType "journal-article" @default.
• W3091844991 hasAuthorship W3091844991A5013623039 @default.
• W3091844991 hasAuthorship W3091844991A5018077056 @default.
• W3091844991 hasAuthorship W3091844991A5064125876 @default.
• W3091844991 hasAuthorship W3091844991A5073697988 @default.
• W3091844991 hasAuthorship W3091844991A5089983921 @default.
• W3091844991 hasConcept C119857082 @default.
• W3091844991 hasConcept C126255220 @default.
• W3091844991 hasConcept C127172972 @default.
• W3091844991 hasConcept C127413603 @default.
• W3091844991 hasConcept C134121241 @default.
• W3091844991 hasConcept C138171918 @default.
• W3091844991 hasConcept C139719470 @default.
• W3091844991 hasConcept C144553756 @default.
• W3091844991 hasConcept C150077022 @default.
• W3091844991 hasConcept C159985019 @default.
• W3091844991 hasConcept C161790260 @default.
• W3091844991 hasConcept C162324750 @default.
• W3091844991 hasConcept C171146098 @default.
• W3091844991 hasConcept C185592680 @default.
• W3091844991 hasConcept C192562407 @default.
• W3091844991 hasConcept C21880701 @default.
• W3091844991 hasConcept C2777241282 @default.
• W3091844991 hasConcept C2778348673 @default.
• W3091844991 hasConcept C2780804531 @default.
• W3091844991 hasConcept C33923547 @default.
• W3091844991 hasConcept C41008148 @default.
• W3091844991 hasConcept C52896960 @default.
• W3091844991 hasConcept C55062507 @default.
• W3091844991 hasConcept C55493867 @default.
• W3091844991 hasConcept C66910140 @default.
• W3091844991 hasConcept C68781425 @default.
• W3091844991 hasConceptScore W3091844991C119857082 @default.
• W3091844991 hasConceptScore W3091844991C126255220 @default.
• W3091844991 hasConceptScore W3091844991C127172972 @default.
• W3091844991 hasConceptScore W3091844991C127413603 @default.
• W3091844991 hasConceptScore W3091844991C134121241 @default.
• W3091844991 hasConceptScore W3091844991C138171918 @default.
• W3091844991 hasConceptScore W3091844991C139719470 @default.
• W3091844991 hasConceptScore W3091844991C144553756 @default.
• W3091844991 hasConceptScore W3091844991C150077022 @default.
• W3091844991 hasConceptScore W3091844991C159985019 @default.
• W3091844991 hasConceptScore W3091844991C161790260 @default.
• W3091844991 hasConceptScore W3091844991C162324750 @default.
• W3091844991 hasConceptScore W3091844991C171146098 @default.
• W3091844991 hasConceptScore W3091844991C185592680 @default.
• W3091844991 hasConceptScore W3091844991C192562407 @default.
• W3091844991 hasConceptScore W3091844991C21880701 @default.
• W3091844991 hasConceptScore W3091844991C2777241282 @default.
• W3091844991 hasConceptScore W3091844991C2778348673 @default.
• W3091844991 hasConceptScore W3091844991C2780804531 @default.
• W3091844991 hasConceptScore W3091844991C33923547 @default.
• W3091844991 hasConceptScore W3091844991C41008148 @default.
• W3091844991 hasConceptScore W3091844991C52896960 @default.
• W3091844991 hasConceptScore W3091844991C55062507 @default.

• next