Experimental investigation of multi-additive fuel blend and its optimization for CI engine performance and emissions by the hybrid Taguchi- TOPSIS technique
In recent years, the critical stage of air pollution and government stringent emission norms like Bharat Standard VI in 2020 in India and Euro VI in European countries, along with the promotion of electric vehicles, has made the future of diesel vehicles unpredictable. The present work correlates an...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23010092 |
| _version_ | 1797356887250829312 |
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| author | Amit R. Patil Dipankar Kakati Bharat Singh Marc A. Rosen Rupali Patil Vijaykumar Javanjal Chandrakant Sonawane Hitesh Panchal Abhinav Kumar Md Irfanul Haque Siddiqui Kishor Kumar Sadasivuni |
| author_facet | Amit R. Patil Dipankar Kakati Bharat Singh Marc A. Rosen Rupali Patil Vijaykumar Javanjal Chandrakant Sonawane Hitesh Panchal Abhinav Kumar Md Irfanul Haque Siddiqui Kishor Kumar Sadasivuni |
| author_sort | Amit R. Patil |
| collection | DOAJ |
| description | In recent years, the critical stage of air pollution and government stringent emission norms like Bharat Standard VI in 2020 in India and Euro VI in European countries, along with the promotion of electric vehicles, has made the future of diesel vehicles unpredictable. The present work correlates and tries to overcome the emission issue by improving fuel properties using a novel multi-additive fuel blend which can control engine emission, mostly NOx, without compromising efficiency and operating fuel economy. Using experimental and literature studies, three additives were identified for creating a novel multi-additive fuel blend, viz. dimethyl carbonate, 2-ethylhexyl nitrate and ethyl acetate. Using the Taguchi Design of Experiment method, sixteen test samples having different combinations of these additive were identified for experimental trials to create sufficient and suitable test data for the optimization process. Technique for Order of Preference by Similarity to Ideal Solution is a Multi Criteria Decision Making optimization process, is performed to identify the optimized multi-additive fuel blend coded as D8EH6E4. Blending the optimized multi-additive sample D8EH6E4 with diesel fuel reduced NOx formation by an average of 19 % while causing a substantial drop in smoke at higher load conditions without adversely affecting engine performance and fuel economy. |
| first_indexed | 2024-03-08T14:36:22Z |
| format | Article |
| id | doaj.art-90d75beacef3461db1006d5cb57a3492 |
| institution | Directory Open Access Journal |
| issn | 2214-157X |
| language | English |
| last_indexed | 2024-03-08T14:36:22Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj.art-90d75beacef3461db1006d5cb57a34922024-01-12T04:56:19ZengElsevierCase Studies in Thermal Engineering2214-157X2024-01-0153103703Experimental investigation of multi-additive fuel blend and its optimization for CI engine performance and emissions by the hybrid Taguchi- TOPSIS techniqueAmit R. Patil0Dipankar Kakati1Bharat Singh2Marc A. Rosen3Rupali Patil4Vijaykumar Javanjal5Chandrakant Sonawane6Hitesh Panchal7Abhinav Kumar8Md Irfanul Haque Siddiqui9Kishor Kumar Sadasivuni10Department of Mechanical Engineering, M. E. S. Wadia College of Engineering, Savitribai Phule Pune University, Pune, 411001, India; Corresponding author.Department of Mechanical Engineering, D. Y. Patil College of Engineering, Akurdi, Savitribai Phule Pune University, Pune, 411044, IndiaDepartment of Mechanical Engineering, GLA University, Mathura, IndiaFaculty of Engineering and Applied Science, Ontario Tech University, Oshawa, Ontario, L1G 0C5, CanadaDepartment of Mechanical Engineering, Pimpri Chinchwad College of Engineering & Research, Savitribai Phule Pune University, Pune, MS, IndiaDepartment of Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Savitribai Phule Pune University, Pune, IndiaSymbiosis Institute of Technology, Symbiosis International Deemed University, Pune, IndiaMechanical Engineering Department, Government Engineering College Patan, Gujarat, IndiaDepartment of Mechanical Engineering, Ural Federal University, RussiaMechanical Engineering Department, College of Engineering, King Saud University, Riyadh, 11451, Saudi ArabiaCentre for Advanced Materials, Qatar University, Qatar & Department of Mechanical and Industrial Engineering, Qatar University, PO Box 2713, Doha, QatarIn recent years, the critical stage of air pollution and government stringent emission norms like Bharat Standard VI in 2020 in India and Euro VI in European countries, along with the promotion of electric vehicles, has made the future of diesel vehicles unpredictable. The present work correlates and tries to overcome the emission issue by improving fuel properties using a novel multi-additive fuel blend which can control engine emission, mostly NOx, without compromising efficiency and operating fuel economy. Using experimental and literature studies, three additives were identified for creating a novel multi-additive fuel blend, viz. dimethyl carbonate, 2-ethylhexyl nitrate and ethyl acetate. Using the Taguchi Design of Experiment method, sixteen test samples having different combinations of these additive were identified for experimental trials to create sufficient and suitable test data for the optimization process. Technique for Order of Preference by Similarity to Ideal Solution is a Multi Criteria Decision Making optimization process, is performed to identify the optimized multi-additive fuel blend coded as D8EH6E4. Blending the optimized multi-additive sample D8EH6E4 with diesel fuel reduced NOx formation by an average of 19 % while causing a substantial drop in smoke at higher load conditions without adversely affecting engine performance and fuel economy.http://www.sciencedirect.com/science/article/pii/S2214157X23010092CI engineFuel additiveOptimizationCombustionEmissionNOx |
| spellingShingle | Amit R. Patil Dipankar Kakati Bharat Singh Marc A. Rosen Rupali Patil Vijaykumar Javanjal Chandrakant Sonawane Hitesh Panchal Abhinav Kumar Md Irfanul Haque Siddiqui Kishor Kumar Sadasivuni Experimental investigation of multi-additive fuel blend and its optimization for CI engine performance and emissions by the hybrid Taguchi- TOPSIS technique Case Studies in Thermal Engineering CI engine Fuel additive Optimization Combustion Emission NOx |
| title | Experimental investigation of multi-additive fuel blend and its optimization for CI engine performance and emissions by the hybrid Taguchi- TOPSIS technique |
| title_full | Experimental investigation of multi-additive fuel blend and its optimization for CI engine performance and emissions by the hybrid Taguchi- TOPSIS technique |
| title_fullStr | Experimental investigation of multi-additive fuel blend and its optimization for CI engine performance and emissions by the hybrid Taguchi- TOPSIS technique |
| title_full_unstemmed | Experimental investigation of multi-additive fuel blend and its optimization for CI engine performance and emissions by the hybrid Taguchi- TOPSIS technique |
| title_short | Experimental investigation of multi-additive fuel blend and its optimization for CI engine performance and emissions by the hybrid Taguchi- TOPSIS technique |
| title_sort | experimental investigation of multi additive fuel blend and its optimization for ci engine performance and emissions by the hybrid taguchi topsis technique |
| topic | CI engine Fuel additive Optimization Combustion Emission NOx |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X23010092 |
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