Optimization and Modelling of WCO Biodiesel by Taguchi and ANN

Aditya Kolakoti

ISBN 10: 6138925548 / ISBN 13: 9786138925545

Published by Scholars' Press Mär 2020, 2020

About this Item

Neuware -The exhaust emissions from diesel engines are increasing at a faster rate. To mitigate the challenge alternative fuels especially biodiesel is gaining importance. In general edible or non-edible oils are used for production of biodiesels. In this endeavor the main objective is to produce biodiesel from waste cooking oil which is available abundantly for low or even free of cost. In order to improve the biodiesel yield Taguchi based optimization technique is used. Total of 9 experiments were conducted and 92.17% biodiesel yield is achieved. From analysis of variance (ANOVA) the influence factor is identified and coefficient of determination is 99.59% which shows that the chosen model is highly accurate. Artificial intelligent techniques are also used to revalidate the Taguchi results.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.

Seller Inventory # 9786138925545

Bibliographic Details

• Title: Optimization and Modelling of WCO Biodiesel by Taguchi and ANN
• Publisher: Scholars' Press Mär 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 6138925548
• ISBN 13: 9786138925545
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 125 grams

About this title

Synopsis

The exhaust emissions from diesel engines are increasing at a faster rate. To mitigate the challenge alternative fuels especially biodiesel is gaining importance. In general edible or non-edible oils are used for production of biodiesels. In this endeavor the main objective is to produce biodiesel from waste cooking oil which is available abundantly for low or even free of cost. In order to improve the biodiesel yield Taguchi based optimization technique is used. Total of 9 experiments were conducted and 92.17% biodiesel yield is achieved. From analysis of variance (ANOVA) the influence factor is identified and coefficient of determination is 99.59% which shows that the chosen model is highly accurate. Artificial intelligent techniques are also used to revalidate the Taguchi results.