International Conference on Intelligent Computing and Systems
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International Conference on Intelligent Computing and Systems 2017 [ICICS 2017]
ISBN Website Received Article ID
978-81-933235-5-7 icics.asia 10 – January – 2017 ICICS109
VOL eMail Accepted eAID
01 icics@asdf.res.in 27 - January – 2017 ICICS.2017.109
Performance and Emission Characteristics of A 4 Stroke Diesel Engine with Mahua and Cotton Seed Biodiesel Blended with Diesel Saravanakumar S1, Sivashankar M2 SBM College of Engineering and Technology, India 2 NSN College of Engineering and Technology, India 1
Abstract: Biodiesel are becoming popular as alternative eco-friendly fuel now days. The petroleum product requirement is going on increasing day by day in India with limited resources in the oil pool. Crisis of petroleum fuel and import of fossil fuel is giving a high impact on the economy and development. Besides the economy and development, fossil fuel also leads to a major problem like global warming and climatic change. The emission of harmful gasses like CO, NOx,(CO)_2, and smoke density causes acid rain, health hazard and also global warming. The high oil price, environmental concern and supply instability put many researchers to go for alternative fuel i.e. biodiesel. Biodiesel is part of the solution which reduced many of the problems. The objectives of this study are the production process, fuel properties, oil content, engines testing and performance analysis of biodiesel from mahua and cotton seedoil.
ISBN Website Received Article ID
978-81-933235-5-7 icics.asia 10 – January – 2017 ICICS110
VOL eMail Accepted eAID
01 icics@asdf.res.in 25 - January – 2017 ICICS.2017.110
Optimization of Machining Parameters in Wire Cut EDM Using Taguchi Techniques 1,2
Vinoth Kumar V1, Suganth V G2 NSN College of Engineering and Technology, India
Abstract: This paper deals optimized model to investigate the effects of pulse on time, pulse off time and wire feed rate in EDM performance on material removal rate. Wire electrical discharge machining process is a highly complex, time varying & stochastic process. The process output is affected by large no of input variables. Therefore a suitable selection of input variables for the wire electrical discharge machining (WEDM) process relies heavily on the operators technology & experience because of their numerous & diverse range. Rough cutting operation in wire EDM is treated as challenging one because improvement of more than one performance measures viz. Metal removal rate (MRR), surface finish & cutting Width (kerf) are sought to obtain precision work. Using Taguchi experimental design, significant machining parameters affecting the performance measures are identified as pulse on time, pulse off time and wire feed rate. WEDM process parameters can be adjusted so as to achieve better metal removal rate.
This paper is prepared exclusively for International Conference on Intelligent Computing and Systems 2017 [ICICS 2017] which is published by ASDF International, Registered in London, United Kingdom under the directions of the Editor-in-Chief Dr M Sivaraja and Editors Dr. Daniel James, Dr. Kokula Krishna Hari Kunasekaran and Dr. Saikishore Elangovan. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honoured. For all other uses, contact the owner/author(s). Copyright Holder can be reached at copy@asdf.international for distribution.
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