FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313289675> ?p ?o ?g. }

• W4313289675 endingPage "100007" @default.
• W4313289675 startingPage "100007" @default.
• W4313289675 abstract "This current study focused on biobased diesel fuel production from sandbox (Hura crepitans) oil (HCO) through a single-step transesterification process with KOH as the base catalyst and methanol as the alcohol. The process was modeled using artificial neural networks (ANN), and the essential parameters were optimized with the genetic algorithm (GA) method. The results obtained were compared with that obtained with the Taguchi method. The input process parameters and the ranges investigated are methanol–HCO molar ratio (6:1–15:1), temperature (35–55 °C), time (25–75 min), and catalyst dosage (0.5–1.5 wt%).​ The developed model was statistically significant based on the coefficient of determination R2 (0.8563) and mean relative percent deviation, MRPD (1.9145). The optimum values of the parameters were the methanol–HCO molar ratio of 6:1, temperature of 35 °C, time of 25 min, and catalyst dosage of 0.955 wt% with actual HCO methyl esters (HCOME) yield of 99.03 wt%. The Taguchi method was superior in modeling the transesterification process with R2 of 0.9953 and MRPD of 0.3626 but lower in optimization efficiency with an HCOME yield of 97.1 wt%. Thus, ANN-GA performed satisfactorily in optimizing the HCOME production from HCO. Also, the HCOME produced met the American and European biodiesel standards and could serve as a transport fuel." @default.
• W4313289675 created "2023-01-06" @default.
• W4313289675 creator A5012042702 @default.
• W4313289675 creator A5017623269 @default.
• W4313289675 creator A5021720042 @default.
• W4313289675 creator A5053820394 @default.
• W4313289675 creator A5061549746 @default.
• W4313289675 date "2023-01-01" @default.
• W4313289675 modified "2023-10-06" @default.
• W4313289675 title "Sandbox oil biodiesel production modeling and optimization with neural networks and genetic algorithm" @default.
• W4313289675 cites W1531931873 @default.
• W4313289675 cites W1626472074 @default.
• W4313289675 cites W1903621931 @default.
• W4313289675 cites W1965375621 @default.
• W4313289675 cites W1965667065 @default.
• W4313289675 cites W1974041278 @default.
• W4313289675 cites W2014609272 @default.
• W4313289675 cites W2024443574 @default.
• W4313289675 cites W2033800311 @default.
• W4313289675 cites W2045946022 @default.
• W4313289675 cites W2047752159 @default.
• W4313289675 cites W2050956365 @default.
• W4313289675 cites W2055878076 @default.
• W4313289675 cites W2068553503 @default.
• W4313289675 cites W2076019128 @default.
• W4313289675 cites W2076148906 @default.
• W4313289675 cites W2106527482 @default.
• W4313289675 cites W2121394390 @default.
• W4313289675 cites W2131344679 @default.
• W4313289675 cites W2144407941 @default.
• W4313289675 cites W2175101556 @default.
• W4313289675 cites W2346814302 @default.
• W4313289675 cites W2549136315 @default.
• W4313289675 cites W2549685649 @default.
• W4313289675 cites W2615836215 @default.
• W4313289675 cites W2620595718 @default.
• W4313289675 cites W2688270099 @default.
• W4313289675 cites W2793053758 @default.
• W4313289675 cites W2796986051 @default.
• W4313289675 cites W2804084687 @default.
• W4313289675 cites W2811389157 @default.
• W4313289675 cites W2910870833 @default.
• W4313289675 cites W2940082558 @default.
• W4313289675 cites W2954082612 @default.
• W4313289675 cites W2994944687 @default.
• W4313289675 cites W3000364026 @default.
• W4313289675 cites W3024911399 @default.
• W4313289675 cites W3040103937 @default.
• W4313289675 cites W3109820655 @default.
• W4313289675 cites W3110728525 @default.
• W4313289675 cites W3125960663 @default.
• W4313289675 cites W3128246089 @default.
• W4313289675 cites W3136033096 @default.
• W4313289675 cites W3209336074 @default.
• W4313289675 cites W4211041153 @default.
• W4313289675 doi "https://doi.org/10.1016/j.grets.2022.100007" @default.
• W4313289675 hasPublicationYear "2023" @default.
• W4313289675 type Work @default.
• W4313289675 citedByCount "1" @default.
• W4313289675 countsByYear W43132896752023 @default.
• W4313289675 crossrefType "journal-article" @default.
• W4313289675 hasAuthorship W4313289675A5012042702 @default.
• W4313289675 hasAuthorship W4313289675A5017623269 @default.
• W4313289675 hasAuthorship W4313289675A5021720042 @default.
• W4313289675 hasAuthorship W4313289675A5053820394 @default.
• W4313289675 hasAuthorship W4313289675A5061549746 @default.
• W4313289675 hasBestOaLocation W43132896751 @default.
• W4313289675 hasConcept C127413603 @default.
• W4313289675 hasConcept C134121241 @default.
• W4313289675 hasConcept C138171918 @default.
• W4313289675 hasConcept C13965031 @default.
• W4313289675 hasConcept C159985019 @default.
• W4313289675 hasConcept C161790260 @default.
• W4313289675 hasConcept C178790620 @default.
• W4313289675 hasConcept C185592680 @default.
• W4313289675 hasConcept C192562407 @default.
• W4313289675 hasConcept C2777241282 @default.
• W4313289675 hasConcept C2779607525 @default.
• W4313289675 hasConcept C42360764 @default.
• W4313289675 hasConcept C528095902 @default.
• W4313289675 hasConcept C52896960 @default.
• W4313289675 hasConcept C66910140 @default.
• W4313289675 hasConcept C83469408 @default.
• W4313289675 hasConceptScore W4313289675C127413603 @default.
• W4313289675 hasConceptScore W4313289675C134121241 @default.
• W4313289675 hasConceptScore W4313289675C138171918 @default.
• W4313289675 hasConceptScore W4313289675C13965031 @default.
• W4313289675 hasConceptScore W4313289675C159985019 @default.
• W4313289675 hasConceptScore W4313289675C161790260 @default.
• W4313289675 hasConceptScore W4313289675C178790620 @default.
• W4313289675 hasConceptScore W4313289675C185592680 @default.
• W4313289675 hasConceptScore W4313289675C192562407 @default.
• W4313289675 hasConceptScore W4313289675C2777241282 @default.
• W4313289675 hasConceptScore W4313289675C2779607525 @default.
• W4313289675 hasConceptScore W4313289675C42360764 @default.
• W4313289675 hasConceptScore W4313289675C528095902 @default.
• W4313289675 hasConceptScore W4313289675C52896960 @default.
• W4313289675 hasConceptScore W4313289675C66910140 @default.

• next