9786139897964-6139897963-Influence of Nanocatalysts on Diesel Engine Performance and Emission

Influence of Nanocatalysts on Diesel Engine Performance and Emission

ISBN-13: 9786139897964
ISBN-10: 6139897963
Author: Ganesan Subbiah, A Elango
Publication date: 2019
Publisher: LAP Lambert Academic Publishing
Format: Paperback 192 pages
Category: Engineering
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Book details

ISBN-13: 9786139897964
ISBN-10: 6139897963
Author: Ganesan Subbiah, A Elango
Publication date: 2019
Publisher: LAP Lambert Academic Publishing
Format: Paperback 192 pages
Category: Engineering

Summary

Influence of Nanocatalysts on Diesel Engine Performance and Emission (ISBN-13: 9786139897964 and ISBN-10: 6139897963), written by authors Ganesan Subbiah, A Elango, was published by LAP Lambert Academic Publishing in 2019. With an overall rating of 3.6 stars, it's a notable title among other Engineering books. You can easily purchase or rent Influence of Nanocatalysts on Diesel Engine Performance and Emission (Paperback) from BooksRun, along with many other new and used Engineering books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The most harmful effect of our present day civilization is Global Warming and Environmental Pollution. Diesel, being a fossil fuel is estimated to get over by the year 2050. Acceptable changes in the vegetable oils properties have resulted in efficient results and allowed us to replace diesel. The present work involves the following parameters and their levels. The diesel engine was tested on Brake power 1.1, 2.2, 3.3, 4.4kW. Whereas, injection pressure is varied from 180 to 240 bars at an interval of 20 bars with 10, 20, 25 and 30% blends of biodiesel (lemon grass oil). Very small quantity of nano catalytic substance (CeO2, MgO and ZnO) are used by the proportions of 15, 30, 45 and 60ppm to enhance the combustion properties of bio-fuel. DDSA is added with biofuel to give the stable suspension of nanocatalysts. In This investigation Taguchi method in combination with grey relational analysis(GRA) has been applied for find the predicted values. The results are predicted by parametric optimization techniques and then it is verified with confirmatory experiments. These confirmation results shows a good agreement of predicted values for three different Nano catalyst.

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