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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
ENHANCEMENT OF FAME PRODUCTION FROM PUNGAI SEED OIL USING ARTIFICIAL NEURAL NETWORK
Authors
Rinaldo Nikilson R, Sakthi R, Sanjeev Kumar, Saravanan A
Keywords
Biodiesel, Chromium oxide Nanoparticles, Pungai Seed oil, Transesterification, Pollution control, Machine Learning, Artificial Neural Network, Nanocatalyst.
Abstract
The objective of this project to reduce the cost and emission of the diesel engine without affecting its efficiency, performance and without any modification of the engine. Pungai oil (Oil extracted from Milletia pinnata) is the most promising source for biodiesel. This oil is blended with the diesel with a specific composition. An appropriate catalyst is added with the oil to increase the FAME and remove the Glycerine and other residues. The composition of this oil and diesel and other properties was predicted using a special machine learning algorithm called Artificial Neural Network. This Artificial Neural Network algorithm was simulated using python TensorFlow. The specialty of this project is we used heterogeneous catalyst for the Transesterification process. This significantly reduces the cost and emissions without affecting its performance.
IJCRT's Publication Details
Unique Identification Number - IJCRT2104431
Paper ID - 205829
Page Number(s) - 3485-3492
Pubished in - Volume 9 | Issue 4 | April 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rinaldo Nikilson R, Sakthi R, Sanjeev Kumar, Saravanan A, "ENHANCEMENT OF FAME PRODUCTION FROM PUNGAI SEED OIL USING ARTIFICIAL NEURAL NETWORK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 4, pp.3485-3492, April 2021, Available at :http://www.ijcrt.org/papers/IJCRT2104431.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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