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2017

Vol 2, No 2 (2017): Optimizing the Best Efficient Blend for Algae Oil

Authors: V. Naresh, S.Prabhakar, K Annamala

Abstract: Due to shortage of petroleum, diesel fuel and its increasing cost an alternate source of fuel for diesel is very much needed. It has been found that vegetable oils hold special promise in this regard, since they can be produced from the plants grown in rural areas. Vegetable oil from crops such as soybean, peanut, sunflower, jatropha, mahua, neem, rape, coconut, karanja, cotton, mustard, linseed and castor have been tried in many parts of the world, which lack petroleum reserves as fuels for compression ignition engines. In this project esterified ALGAE oil is used as an alternate fuel. At present neither ALGAE oil nor bio-diesel of ALGAE oil is available in the market. Hence for our work, well grown ALGAE seeds are collected from different parts of Tamil Nadu (India). Approximately 16 liters of oil is obtained from the 45 kgs of ALGAE seed. Then after proper filtration, esters of ALGAE oil are prepared using the bio-diesel plant available in the department. A single cylinder stationary kirloskar engine is used to compare the performance and emission characteristics between pure diesel and ALGAE blends. The ALGAE oil blends are in percentage of 20%, 40%, 60%, 80%, and 100% of ALGAE oil to 80%, 60%, 40%, 20% & 0% of diesel. In this project selection of suitable ALGAE blend and selection of optimized injection pressure for the blend is done.

From this project it is concluded that among all ALGAE and diesel blends 20% of ALGAE and 80% of diesel blend with injection pressure 240 bar gives better performance nearing the diesel. When comparing the emission characteristics HC, CO is reduced when compared to diesel, however NOx emission is slightly increased when compared to diesel. Hence ALGAE blend can be used in existing diesel engines with minimum modification in the engine. It also describes the usage of non-edible oil to a greater extent.

Vol 2, No 1 (2017): Mining Geological Studies of Palaspani Manganese Ore Mine, Chhindwara District, Madhya Pradesh, India

Authors: Raut A. P., Hajare H.V., JagtapA.R.

Abstract: India is the third largest producer of manganese ore in the world. The countries most important ore deposits are Syngenetic, epigenetic and lateritic. Supergene enrichments associated with the first two groups. On the basis of mode of occurrence and association with different kinds of country rocks, the Indian manganese ore deposits have been classified as Gondites, Kodurites and Laterite. Indian manganese ore deposits occur mainly as metamorphosed bedded sedimentary deposits associated with Gondite Series (Proterozoic) of Madhya Pradesh, Maharashtra, Gujarat, Odisha and with Kodurite Series (Archaean) of Odisha and Andhra Pradesh and Proterozoic sedimentary manganese deposits of Penganga group Adilabad district of Telangana. The subject area is a part of the Proterozoic terrain of Sausar Group of rocks consisting ofmarble, Calc-granulites, schists,quartzites, gondite etc. The general strike of the ore body is NNW-SSE with dip of 75° towards south.The environmental aspects are being monitored regularly and seasonally by an environmental laboratory. As such the portability of air is fresh and unpolluted in this area.


2016

Vol 1, No 1 (2016): Design and Analysis of LPG Weighing Machine for Household Application

Author: Vinodkumar, Tajamul Pasha, Prasanta Kumar Samal

Abstract: 

Nowadays in India, everyone have Liquid Petroleum Gas (LPG) cylinders, which are used for cooking, heating, etc. LPG cylinder is made of low cast steel, which has more weight and it is difficult to handle by a person. LPG is filled with high pressure in the cylinder. The user cannot predict how much LPG left inside cylinder so as to order for a new LPG cylinder. This paper is focusing on developing a weighing machine which will be used to carry the cylinder easily. This will enable the user to know the weight of LPG cylinder consequently the amount of LPG is present inside the cylinder. The customer voice data compiled from the survey and plotted in the quality function deployment (QFD) chart to drive the technical voice. The concept were modeled in Catia V5 R21, Solid works 2015 and rendered in Key shot 5 tools. Final concept has been selected by weighted ranking method.
Next step was to create block diagram of product and understand function of each component and make the interface of component with one another. After understanding the interface between components parts were modelled and assembled in Catia V5 R20 and rendered in Key shot 5 to realize actual product how it looks. Further analysed each components in Abaqus and results were found to be safe, detail drawings of each part were generated. After that fabricated load cell and tested in NI Lab view 2015, calibrated the load cell and took the results of load cell.


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