Development of database and mathematical models for predicting engine performance parameters using biodiesel
A database for complete and quick knowledge of biodiesel was developed in Microsoft access linked with interactive interfaced of Visual Basic which contains various information such as biodiesel properties, engine performance parameters and emission characteristics. The comparisons of fuel propertie...
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Veröffentlicht in: | International journal of agricultural and biological engineering 2017-05, Vol.10 (3), p.121 |
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creator | Pranav, P K Patel, Thaneswer Singh, K Padmeshore |
description | A database for complete and quick knowledge of biodiesel was developed in Microsoft access linked with interactive interfaced of Visual Basic which contains various information such as biodiesel properties, engine performance parameters and emission characteristics. The comparisons of fuel properties among the biodiesel, its blends and engine performance parameters are one of the most attractive features of the developed database. Based on the data collected from the developed database, the analysis of variance (ANOVA) was carried out to know the effect of fuel properties on engine performance parameters. The fuel properties such as a change in calorific value and viscosity with respect to diesel were found to be significant at 5% level with brake power (BP) and brake specific fuel consumption (BSFC). However, flash point and density were found to be insignificant. Therefore, mathematical models were developed for (i) change in BP and (ii) BSFC based on the significant fuel properties. The model efficiency for BP and BSFC were found to be 92% and 91% respectively. The RMSE values were also calculated from the predicted value and found to be 1.85 and 5.45 for BP and BSFC respectively. From the above statistical facts, it is revealed that the developed mathematical models can be used to predict the change in BP and BSFC. Further, it is also expected that the developed database shall be expedient for researchers and engineers to locate various information related to biodiesel. |
doi_str_mv | 10.3965/j.ijabe.20171003.1789 |
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The comparisons of fuel properties among the biodiesel, its blends and engine performance parameters are one of the most attractive features of the developed database. Based on the data collected from the developed database, the analysis of variance (ANOVA) was carried out to know the effect of fuel properties on engine performance parameters. The fuel properties such as a change in calorific value and viscosity with respect to diesel were found to be significant at 5% level with brake power (BP) and brake specific fuel consumption (BSFC). However, flash point and density were found to be insignificant. Therefore, mathematical models were developed for (i) change in BP and (ii) BSFC based on the significant fuel properties. The model efficiency for BP and BSFC were found to be 92% and 91% respectively. The RMSE values were also calculated from the predicted value and found to be 1.85 and 5.45 for BP and BSFC respectively. From the above statistical facts, it is revealed that the developed mathematical models can be used to predict the change in BP and BSFC. Further, it is also expected that the developed database shall be expedient for researchers and engineers to locate various information related to biodiesel.</description><identifier>ISSN: 1934-6344</identifier><identifier>EISSN: 1934-6352</identifier><identifier>DOI: 10.3965/j.ijabe.20171003.1789</identifier><language>eng</language><publisher>Beijing: International Journal of Agricultural and Biological Engineering (IJABE)</publisher><subject>Biodiesel fuels ; Biofuels ; Brakes ; Calorific value ; Data bases ; Diesel ; Diesel engines ; Diesel fuels ; Emissions ; Fuel consumption ; Mathematical models ; Performance prediction ; Power consumption ; Properties (attributes) ; Software ; Statistical analysis ; Variance analysis ; Viscosity ; Visual Basic ; Visual programming languages</subject><ispartof>International journal of agricultural and biological engineering, 2017-05, Vol.10 (3), p.121</ispartof><rights>Copyright International Journal of Agricultural and Biological Engineering (IJABE) May 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids></links><search><creatorcontrib>Pranav, P K</creatorcontrib><creatorcontrib>Patel, Thaneswer</creatorcontrib><creatorcontrib>Singh, K Padmeshore</creatorcontrib><title>Development of database and mathematical models for predicting engine performance parameters using biodiesel</title><title>International journal of agricultural and biological engineering</title><description>A database for complete and quick knowledge of biodiesel was developed in Microsoft access linked with interactive interfaced of Visual Basic which contains various information such as biodiesel properties, engine performance parameters and emission characteristics. The comparisons of fuel properties among the biodiesel, its blends and engine performance parameters are one of the most attractive features of the developed database. Based on the data collected from the developed database, the analysis of variance (ANOVA) was carried out to know the effect of fuel properties on engine performance parameters. The fuel properties such as a change in calorific value and viscosity with respect to diesel were found to be significant at 5% level with brake power (BP) and brake specific fuel consumption (BSFC). However, flash point and density were found to be insignificant. Therefore, mathematical models were developed for (i) change in BP and (ii) BSFC based on the significant fuel properties. The model efficiency for BP and BSFC were found to be 92% and 91% respectively. The RMSE values were also calculated from the predicted value and found to be 1.85 and 5.45 for BP and BSFC respectively. From the above statistical facts, it is revealed that the developed mathematical models can be used to predict the change in BP and BSFC. Further, it is also expected that the developed database shall be expedient for researchers and engineers to locate various information related to biodiesel.</description><subject>Biodiesel fuels</subject><subject>Biofuels</subject><subject>Brakes</subject><subject>Calorific value</subject><subject>Data bases</subject><subject>Diesel</subject><subject>Diesel engines</subject><subject>Diesel fuels</subject><subject>Emissions</subject><subject>Fuel consumption</subject><subject>Mathematical models</subject><subject>Performance prediction</subject><subject>Power consumption</subject><subject>Properties (attributes)</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Variance analysis</subject><subject>Viscosity</subject><subject>Visual Basic</subject><subject>Visual programming languages</subject><issn>1934-6344</issn><issn>1934-6352</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9jU1LxDAYhIMouK7-BCHguTVpPro5yvoJC170vLxN3qwpbVKbrL_fiuJl5oEZZgi55qwWRqvbvg49dFg3jLecMVHzdmNOyIobISstVHP6z1Kek4uce8a03Ai1IsM9fuGQphFjoclTBwU6yEghOjpC-cBFgoWBjsnhkKlPM51mdMGWEA8U4yFEpBPOSzBCtAvDDCMWnDM95p9OF5ILmHG4JGcehoxXf74m748Pb9vnavf69LK921UT34hSWaW14E52oCxoC6YB6xrwHVPGoxUdOsGN9M4rQNcqDboBAa1qlLaN9GJNbn53pzl9HjGXfZ-Oc1wu99xw3RouhRLfPpNf4g</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Pranav, P K</creator><creator>Patel, Thaneswer</creator><creator>Singh, K Padmeshore</creator><general>International Journal of Agricultural and Biological Engineering (IJABE)</general><scope>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BVBZV</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>RC3</scope><scope>SOI</scope></search><sort><creationdate>20170501</creationdate><title>Development of database and mathematical models for predicting engine performance parameters using biodiesel</title><author>Pranav, P K ; Patel, Thaneswer ; Singh, K Padmeshore</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p183t-c56631d4ba5ca6ca92acd2afb059fec3bed3194fdf5aed756a62a3a75256c24f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Biodiesel fuels</topic><topic>Biofuels</topic><topic>Brakes</topic><topic>Calorific value</topic><topic>Data bases</topic><topic>Diesel</topic><topic>Diesel engines</topic><topic>Diesel fuels</topic><topic>Emissions</topic><topic>Fuel consumption</topic><topic>Mathematical models</topic><topic>Performance prediction</topic><topic>Power consumption</topic><topic>Properties (attributes)</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Variance analysis</topic><topic>Viscosity</topic><topic>Visual Basic</topic><topic>Visual programming languages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pranav, P K</creatorcontrib><creatorcontrib>Patel, Thaneswer</creatorcontrib><creatorcontrib>Singh, K Padmeshore</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>East & South Asia Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><jtitle>International journal of agricultural and biological engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pranav, P K</au><au>Patel, Thaneswer</au><au>Singh, K Padmeshore</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of database and mathematical models for predicting engine performance parameters using biodiesel</atitle><jtitle>International journal of agricultural and biological engineering</jtitle><date>2017-05-01</date><risdate>2017</risdate><volume>10</volume><issue>3</issue><spage>121</spage><pages>121-</pages><issn>1934-6344</issn><eissn>1934-6352</eissn><abstract>A database for complete and quick knowledge of biodiesel was developed in Microsoft access linked with interactive interfaced of Visual Basic which contains various information such as biodiesel properties, engine performance parameters and emission characteristics. The comparisons of fuel properties among the biodiesel, its blends and engine performance parameters are one of the most attractive features of the developed database. Based on the data collected from the developed database, the analysis of variance (ANOVA) was carried out to know the effect of fuel properties on engine performance parameters. The fuel properties such as a change in calorific value and viscosity with respect to diesel were found to be significant at 5% level with brake power (BP) and brake specific fuel consumption (BSFC). However, flash point and density were found to be insignificant. Therefore, mathematical models were developed for (i) change in BP and (ii) BSFC based on the significant fuel properties. The model efficiency for BP and BSFC were found to be 92% and 91% respectively. The RMSE values were also calculated from the predicted value and found to be 1.85 and 5.45 for BP and BSFC respectively. From the above statistical facts, it is revealed that the developed mathematical models can be used to predict the change in BP and BSFC. Further, it is also expected that the developed database shall be expedient for researchers and engineers to locate various information related to biodiesel.</abstract><cop>Beijing</cop><pub>International Journal of Agricultural and Biological Engineering (IJABE)</pub><doi>10.3965/j.ijabe.20171003.1789</doi><oa>free_for_read</oa></addata></record> |
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subjects | Biodiesel fuels Biofuels Brakes Calorific value Data bases Diesel Diesel engines Diesel fuels Emissions Fuel consumption Mathematical models Performance prediction Power consumption Properties (attributes) Software Statistical analysis Variance analysis Viscosity Visual Basic Visual programming languages |
title | Development of database and mathematical models for predicting engine performance parameters using biodiesel |
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