Taguchi-Grey method optimization of VCR engine performance and heat losses by using Shorea robusta biodiesel fuel
[Display omitted] •Optimization of VCR engine performance with Shorea robusta biodiesel using Taguchi-Grey has been investigated.•VCR engine with compression of 16 and an engine load of 10 kg results the optimal performance.•30% blend of Shorea robusta biodiesel results in the better performance and...
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| Veröffentlicht in: | Fuel (Guildford) 2020-12, Vol.281, p.118399, Article 118399 |
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•Optimization of VCR engine performance with Shorea robusta biodiesel using Taguchi-Grey has been investigated.•VCR engine with compression of 16 and an engine load of 10 kg results the optimal performance.•30% blend of Shorea robusta biodiesel results in the better performance and heat losses for VCR engine.•The combination of Taguchi-Grey analysis is an important tool for fast analysis of control parameters on engine.
In the current investigation, biodiesel was produced via a single-stage transesterification method, from Shorea robusta seed oil and using KOH as a catalyst. Diesel based Shorea robusta biodiesel blends of SRME10, SRME20, SRME30, and SRME 40 were prepared, and its effect on the performance characteristics, emission attributes, and heat losses for the VCR engine were investigated. Experiments were designed using the Taguchi method with L16 orthogonal array, and the compression ratio, load, and % blends of fuel with four levels of each were taken as control parameters. Also, Grey analysis has been performed to obtain the combination of control parameters to optimize the response characteristics, i.e., brake mean effective pressure (BMEP), brake specific fuel consumption (BSFC), volumetric efficiency (ɳv), water heat loss (HJW), exhaust gas heat loss (HJGAS), NOx, HC and CO emissions. Experimental investigation and optimization analysis revealed that a compression ratio of 17, a load of 10 kg, and fuel blend of SRME30 were the optimum results for the performance and heat losses of the VCR engine. However, the comparative analysis, revealed that BTHE, BSFC, HGAS, and NOx emission enhances 9.4%, 10.71%, 14.16%, and 6.5% respectively, and HJW, HC and CO emission reduces 1.3%, 16.76%, and 21.2% respectively, for an optimum condition with respect to diesel fuel. The predicted GRG at an optimum setting (A3B4C3) and the experimental GRG value are 0.6896 and 0.7100, respectively, with an error of 0.0203. The experimental investigation confirmed that SRME30 could be used as an alternative to diesel fuel for the VCR engine. |
| doi_str_mv | 10.1016/j.fuel.2020.118399 |
| format | Article |
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•Optimization of VCR engine performance with Shorea robusta biodiesel using Taguchi-Grey has been investigated.•VCR engine with compression of 16 and an engine load of 10 kg results the optimal performance.•30% blend of Shorea robusta biodiesel results in the better performance and heat losses for VCR engine.•The combination of Taguchi-Grey analysis is an important tool for fast analysis of control parameters on engine.
In the current investigation, biodiesel was produced via a single-stage transesterification method, from Shorea robusta seed oil and using KOH as a catalyst. Diesel based Shorea robusta biodiesel blends of SRME10, SRME20, SRME30, and SRME 40 were prepared, and its effect on the performance characteristics, emission attributes, and heat losses for the VCR engine were investigated. Experiments were designed using the Taguchi method with L16 orthogonal array, and the compression ratio, load, and % blends of fuel with four levels of each were taken as control parameters. Also, Grey analysis has been performed to obtain the combination of control parameters to optimize the response characteristics, i.e., brake mean effective pressure (BMEP), brake specific fuel consumption (BSFC), volumetric efficiency (ɳv), water heat loss (HJW), exhaust gas heat loss (HJGAS), NOx, HC and CO emissions. Experimental investigation and optimization analysis revealed that a compression ratio of 17, a load of 10 kg, and fuel blend of SRME30 were the optimum results for the performance and heat losses of the VCR engine. However, the comparative analysis, revealed that BTHE, BSFC, HGAS, and NOx emission enhances 9.4%, 10.71%, 14.16%, and 6.5% respectively, and HJW, HC and CO emission reduces 1.3%, 16.76%, and 21.2% respectively, for an optimum condition with respect to diesel fuel. The predicted GRG at an optimum setting (A3B4C3) and the experimental GRG value are 0.6896 and 0.7100, respectively, with an error of 0.0203. The experimental investigation confirmed that SRME30 could be used as an alternative to diesel fuel for the VCR engine.</description><identifier>ISSN: 0016-2361</identifier><identifier>EISSN: 1873-7153</identifier><identifier>DOI: 10.1016/j.fuel.2020.118399</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Biodiesel fuels ; Biofuels ; Brakes ; Carbon monoxide ; Catalysts ; Comparative analysis ; Compression ; Compression ratio ; Diesel ; Diesel engines ; Diesel fuels ; Emission analysis ; Emissions control ; Error analysis ; Exhaust gases ; GRG ; Heat ; Heat loss ; HJGAS ; HJW ; Mixtures ; Nitrogen oxides ; Oils & fats ; Oilseeds ; Optimization ; Orthogonal arrays ; Parameters ; S/N ratio ; Shorea robusta ; SRME ; Taguchi method ; Taguchi methods ; Transesterification ; VCR engine ; Volumetric efficiency</subject><ispartof>Fuel (Guildford), 2020-12, Vol.281, p.118399, Article 118399</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV Dec 1, 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-dd446848f4399a5af90185e510a0ae5f6922b7ae9b6c75959e5ee2ea193bb03b3</citedby><cites>FETCH-LOGICAL-c328t-dd446848f4399a5af90185e510a0ae5f6922b7ae9b6c75959e5ee2ea193bb03b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0016236120313958$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Kumar Rai, Ranjeet</creatorcontrib><creatorcontrib>Rekha Sahoo, Rashmi</creatorcontrib><title>Taguchi-Grey method optimization of VCR engine performance and heat losses by using Shorea robusta biodiesel fuel</title><title>Fuel (Guildford)</title><description>[Display omitted]
•Optimization of VCR engine performance with Shorea robusta biodiesel using Taguchi-Grey has been investigated.•VCR engine with compression of 16 and an engine load of 10 kg results the optimal performance.•30% blend of Shorea robusta biodiesel results in the better performance and heat losses for VCR engine.•The combination of Taguchi-Grey analysis is an important tool for fast analysis of control parameters on engine.
In the current investigation, biodiesel was produced via a single-stage transesterification method, from Shorea robusta seed oil and using KOH as a catalyst. Diesel based Shorea robusta biodiesel blends of SRME10, SRME20, SRME30, and SRME 40 were prepared, and its effect on the performance characteristics, emission attributes, and heat losses for the VCR engine were investigated. Experiments were designed using the Taguchi method with L16 orthogonal array, and the compression ratio, load, and % blends of fuel with four levels of each were taken as control parameters. Also, Grey analysis has been performed to obtain the combination of control parameters to optimize the response characteristics, i.e., brake mean effective pressure (BMEP), brake specific fuel consumption (BSFC), volumetric efficiency (ɳv), water heat loss (HJW), exhaust gas heat loss (HJGAS), NOx, HC and CO emissions. Experimental investigation and optimization analysis revealed that a compression ratio of 17, a load of 10 kg, and fuel blend of SRME30 were the optimum results for the performance and heat losses of the VCR engine. However, the comparative analysis, revealed that BTHE, BSFC, HGAS, and NOx emission enhances 9.4%, 10.71%, 14.16%, and 6.5% respectively, and HJW, HC and CO emission reduces 1.3%, 16.76%, and 21.2% respectively, for an optimum condition with respect to diesel fuel. The predicted GRG at an optimum setting (A3B4C3) and the experimental GRG value are 0.6896 and 0.7100, respectively, with an error of 0.0203. The experimental investigation confirmed that SRME30 could be used as an alternative to diesel fuel for the VCR engine.</description><subject>Biodiesel fuels</subject><subject>Biofuels</subject><subject>Brakes</subject><subject>Carbon monoxide</subject><subject>Catalysts</subject><subject>Comparative analysis</subject><subject>Compression</subject><subject>Compression ratio</subject><subject>Diesel</subject><subject>Diesel engines</subject><subject>Diesel fuels</subject><subject>Emission analysis</subject><subject>Emissions control</subject><subject>Error analysis</subject><subject>Exhaust gases</subject><subject>GRG</subject><subject>Heat</subject><subject>Heat loss</subject><subject>HJGAS</subject><subject>HJW</subject><subject>Mixtures</subject><subject>Nitrogen oxides</subject><subject>Oils & fats</subject><subject>Oilseeds</subject><subject>Optimization</subject><subject>Orthogonal arrays</subject><subject>Parameters</subject><subject>S/N ratio</subject><subject>Shorea robusta</subject><subject>SRME</subject><subject>Taguchi method</subject><subject>Taguchi methods</subject><subject>Transesterification</subject><subject>VCR engine</subject><subject>Volumetric efficiency</subject><issn>0016-2361</issn><issn>1873-7153</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LxDAQxYMouK5-AU8Bz12TtOkf8CKLrsKCoKvXkLSTbUrbdJNWWD-9WerZ08Dw3sx7P4RuKVlRQtP7ZqUnaFeMsLCgeVwUZ2hB8yyOMsrjc7QgQRWxOKWX6Mr7hhCS5TxZoMNO7qeyNtHGwRF3MNa2wnYYTWd-5Ghsj63GX-t3DP3e9IAHcNq6TvYlYNlXuAY54tZ6Dx6rI5686ff4o7YOJHZWTX6UWBlbGfDQ4lPIa3ShZevh5m8u0efz0279Em3fNq_rx21Uxiwfo6pKkjRPcp2EMpJLXRCac-CUSCKB67RgTGUSCpWWGS94ARyAgaRFrBSJVbxEd_PdwdnDBH4UjZ1cH14KlvAsC0B4HlRsVpUulHCgxeBMJ91RUCJOaEUjTqnFCa2Y0QbTw2yCkP_bgBO-NBCQVMZBOYrKmv_sv3TRgzM</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Kumar Rai, Ranjeet</creator><creator>Rekha Sahoo, Rashmi</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope></search><sort><creationdate>20201201</creationdate><title>Taguchi-Grey method optimization of VCR engine performance and heat losses by using Shorea robusta biodiesel fuel</title><author>Kumar Rai, Ranjeet ; Rekha Sahoo, Rashmi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-dd446848f4399a5af90185e510a0ae5f6922b7ae9b6c75959e5ee2ea193bb03b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biodiesel fuels</topic><topic>Biofuels</topic><topic>Brakes</topic><topic>Carbon monoxide</topic><topic>Catalysts</topic><topic>Comparative analysis</topic><topic>Compression</topic><topic>Compression ratio</topic><topic>Diesel</topic><topic>Diesel engines</topic><topic>Diesel fuels</topic><topic>Emission analysis</topic><topic>Emissions control</topic><topic>Error analysis</topic><topic>Exhaust gases</topic><topic>GRG</topic><topic>Heat</topic><topic>Heat loss</topic><topic>HJGAS</topic><topic>HJW</topic><topic>Mixtures</topic><topic>Nitrogen oxides</topic><topic>Oils & fats</topic><topic>Oilseeds</topic><topic>Optimization</topic><topic>Orthogonal arrays</topic><topic>Parameters</topic><topic>S/N ratio</topic><topic>Shorea robusta</topic><topic>SRME</topic><topic>Taguchi method</topic><topic>Taguchi methods</topic><topic>Transesterification</topic><topic>VCR engine</topic><topic>Volumetric efficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumar Rai, Ranjeet</creatorcontrib><creatorcontrib>Rekha Sahoo, Rashmi</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Fuel (Guildford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kumar Rai, Ranjeet</au><au>Rekha Sahoo, Rashmi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Taguchi-Grey method optimization of VCR engine performance and heat losses by using Shorea robusta biodiesel fuel</atitle><jtitle>Fuel (Guildford)</jtitle><date>2020-12-01</date><risdate>2020</risdate><volume>281</volume><spage>118399</spage><pages>118399-</pages><artnum>118399</artnum><issn>0016-2361</issn><eissn>1873-7153</eissn><abstract>[Display omitted]
•Optimization of VCR engine performance with Shorea robusta biodiesel using Taguchi-Grey has been investigated.•VCR engine with compression of 16 and an engine load of 10 kg results the optimal performance.•30% blend of Shorea robusta biodiesel results in the better performance and heat losses for VCR engine.•The combination of Taguchi-Grey analysis is an important tool for fast analysis of control parameters on engine.
In the current investigation, biodiesel was produced via a single-stage transesterification method, from Shorea robusta seed oil and using KOH as a catalyst. Diesel based Shorea robusta biodiesel blends of SRME10, SRME20, SRME30, and SRME 40 were prepared, and its effect on the performance characteristics, emission attributes, and heat losses for the VCR engine were investigated. Experiments were designed using the Taguchi method with L16 orthogonal array, and the compression ratio, load, and % blends of fuel with four levels of each were taken as control parameters. Also, Grey analysis has been performed to obtain the combination of control parameters to optimize the response characteristics, i.e., brake mean effective pressure (BMEP), brake specific fuel consumption (BSFC), volumetric efficiency (ɳv), water heat loss (HJW), exhaust gas heat loss (HJGAS), NOx, HC and CO emissions. Experimental investigation and optimization analysis revealed that a compression ratio of 17, a load of 10 kg, and fuel blend of SRME30 were the optimum results for the performance and heat losses of the VCR engine. However, the comparative analysis, revealed that BTHE, BSFC, HGAS, and NOx emission enhances 9.4%, 10.71%, 14.16%, and 6.5% respectively, and HJW, HC and CO emission reduces 1.3%, 16.76%, and 21.2% respectively, for an optimum condition with respect to diesel fuel. The predicted GRG at an optimum setting (A3B4C3) and the experimental GRG value are 0.6896 and 0.7100, respectively, with an error of 0.0203. The experimental investigation confirmed that SRME30 could be used as an alternative to diesel fuel for the VCR engine.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.fuel.2020.118399</doi></addata></record> |
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| subjects | Biodiesel fuels Biofuels Brakes Carbon monoxide Catalysts Comparative analysis Compression Compression ratio Diesel Diesel engines Diesel fuels Emission analysis Emissions control Error analysis Exhaust gases GRG Heat Heat loss HJGAS HJW Mixtures Nitrogen oxides Oils & fats Oilseeds Optimization Orthogonal arrays Parameters S/N ratio Shorea robusta SRME Taguchi method Taguchi methods Transesterification VCR engine Volumetric efficiency |
| title | Taguchi-Grey method optimization of VCR engine performance and heat losses by using Shorea robusta biodiesel fuel |
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