Analysis of Exhaust Gas Emission using Calophyllum Inophyllum Biodiesel in CI Engine with Variation in Load and Compression Ratio
| Vol-3 | Issue-12 | December 2018 | Published Online: 10 December 2018 PDF ( 361 KB ) | ||
| Author(s) | ||
| K. V. L. Bhuvaneswary 1; Pradnya More 2; Prakash Tripathi 3; Sharad R. Kakad 4 | ||
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1Department of Mechanical Engineering, Dr. D.Y Patil Institute of Engineering Management and Research, Akurdi, Pune (India) 2Department of Mechanical Engineering, Dr. D.Y Patil Institute of Engineering Management and Research, Akurdi, Pune (India) 3Department of Mechanical Engineering, Dr. D.Y Patil Institute of Engineering Management and Research, Akurdi, Pune (India) 4Department of Mechanical Engineering, Dr. D.Y Patil Institute of Engineering Management and Research, Akurdi, Pune (India) |
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| Abstract | ||
Environment pollution caused by the burning of the conventional fuels from the engines always a challenge to be addressed and a lot of the alternate fuels that can positively replace the conventional fuels used in the engine. Calophyllum Inophyllum biodiesel and its blends is examined as a possible source of alternative fuel in CI engine. Thermal cracking followed by Transesterification is the process the biodiesel is obtained and B20, B40, B60, B80 blends are prepared and emission performance on the DI VCR engine conducted. Analysisof the exhaust emission parameters like NOx, CO, CO2 at a constant speed of 1500rpm, injection timing of 270bTDC and 200bar with variation in load and compression ratio. The regression analysis performed on independent variables or the input variables compression ratio that varied from 15.5 to 17.5 in steps of one, Blends of the biodiesel that varied from 20 % to 100% in the steps of 20%, and the load variation from no load to full load with the incrimination of 25%. |
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| Keywords | ||
| 3D segmentation, KWFCM, 2D segmentation, clustering, k-means, Fuzzy C-Means, otsu segmentations,ROI,3D domain, Brain tumor, MRI data,3D reconstruction | ||
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