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Performance and emission level studies of Simarouba Glauca biodiesel as an alternative fuel for diesel engine

Biodiesel is a non–toxic, biodegradable, and renewable alternative fuel that can be used with little or no engine modifications. Biodiesel is currently expensive but would be more cost-effective if it could be produced from low–cost non-edible oils. The objective of this study was to investigate the effect of the biodiesel produced from non-edible oils on engine performance and emissions. In this work, biodiesel was produced from Simarouba glauca oil using base-catalyzed transesterification. The properties of the biodiesel were determined as per ASTM standards and compared with the diesel. From the property analysis, it is observed that the properties of the biodiesel are better than the raw oil and close to the diesel. From the engine tests, it is observed that the engine performance is close to the diesel.

Published by: Dr. Shripad Diwakar

Author: Dr. Shripad Diwakar

Paper ID: V7I4-1872

Paper Status: published

Published: August 27, 2021

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Research Paper

Effect of gamma irradiation on the kinetics of ion exchange of Mg (ii), Zn (ii), Co (ii), Pb (ii) on DOWEX 50 wx8 (NH4+) in aqueous acetone – ammonium propionate media.

Dedgaonkar [1] studied radiation effects on self-diffusion in polystyrene ion exchangers with functional groups So-3 in Mn+2 form and N (CH3) I -1 form. Samples exposed to gamma radiations up to a dose of 0.35 MGY showed lower values of diffusion coefficient at any given temperature than those of normal resins. Irradiation increased the energy of activation from 25.6 – 46. 5 kJ / mol-1 for the cation exchangers. Exchanger capacity of cation exchanger was un- influenced up to a dose of 2.5 MGY. The effect of gamma irradiation on the physicochemical properties of weakly basic polystyrene anion exchanger. The effect of gamma irradiation on ion-exchange characteristics of titanium vanadu phosphate was studied by Singh [2] After irradiation by gamma rays (10-9 rads) the colour of the resin changed from yellow to greenish-yellow. The capacity values and distribution coefficient values showed a slight increase upon irradiation the rates of exchange of Rb+/ h+ system were investigated on unirradiated and irradiated resin.

Published by: Kamble Rajan S.

Author: Kamble Rajan S.

Paper ID: V7I4-1853

Paper Status: published

Published: August 27, 2021

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Research Paper

Chronic kidney disease prediction using Machine Learning

The feature of Kidneys is to clear out the blood and to do away with wastes from the body. All of the blood in our body passes through the kidneys several instances a day. The kidneys get rid of wastes, manage the body’s fluid stability, and modify the stability of electrolytes, it’s feasible to lose as a good deal as 90% of kidney function without experiencing any signs and symptoms or problem. Kidney ailment is a silent killer detection and prevention need to be achieved before the scenario receives even worse and the situation is known as continual kidney sickness also known as chronic kidney disease (CKD) or a chronic renal disorder. It is essential to have powerful methods for early prediction of CKD, machine learning strategies are powerful in CKD prediction, In this paper, statistics are acquired from the patients, and then the prediction is done whether that individual is having any continual kidney disorder or not.

Published by: Dr. K. V. Sambasiva Rao, J. Bhagya Lakshmi, E. Likhitha, Ch. Lakshmi Kalyani

Author: Dr. K. V. Sambasiva Rao

Paper ID: V7I4-1781

Paper Status: published

Published: August 27, 2021

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Research Paper

Design and performance analysis of 1 mw solar photovoltaic energy system in iraqi using PVsyst software

Energy is the most important reason for global economic growth namely Required to support modern economic growth The economy depends on long-term access to energy from more reliable sources less cost, and less carbon dioxide emissions, and is environmentally friendly. The environmental concerns about power plants that run on fossil fuels and high fuel costs, pushing most countries of the world to research and develop renewable energy sources generating electricity using a renewable energy source are the only key to improving Energy efficiency energy quality issues, and sustainable energy savings. This goal can be achieved by installing small generators such as photovoltaic systems wind and fuel turbines Cells small turbines and generators of internal combustion engines Renewable energy in the world has many sources that are limited to two types, small and large-small uses of solar generators and wind turbines The large uses of aqueous biomass are geothermal solar energy and wind energy fuel cells. A 1 MW solar photovoltaic (PV) plant system has been installed at Diyala. This paper presents the design and performance analysis of this system using a PVsyst software package. The performance ratio and different losses that occurred in the system are also calculated. The average energy in the network is 1921 MW / H. Based on the simulation results developed in this paper, the practical PV grid-tied system has been implemented in the Diyala site

Published by: Bahaa Mohammed Najm, G.V. Siva Krishna Rao

Author: Bahaa Mohammed Najm

Paper ID: V7I4-1855

Paper Status: published

Published: August 26, 2021

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Research Paper

Experimental Stress Analysis of Worm Gear using 3D Photo Elasticity and its Validation through Finite Element Analysis

one of the very important component of mechanical system involving motion transmission is gear assembly is Worm and pinion gear pairing is necessary to convert rotary motion into linear motion. The life of gear is important factor and the stresses developed on the tooth of the gear are one of the tedious task. Here, in the current work the stresses are analyzed using 3D photoelastic technique which is one of the promising techniques in stress analysis. The synthetic rubber material and the experimental stress analysis are conducted using polariscope in the laboratory. The result obtained shown promising approach to analyses the stresses in the 3D structure.

Published by: Kolase Sachin A., Randhavan B. M.

Author: Kolase Sachin A.

Paper ID: V7I4-1876

Paper Status: published

Published: August 26, 2021

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Research Paper

Identification of novel compounds to treat Alzheimer’s disease

Alzheimer’s disease or Alzheimer’s is a brain disorder characterized by progressive loss of neural functions and dementia in elderly people. It has perilous effects on memory and other cognitive activities. Apolipoprotein (APOE) is responsible for delivering cholesterol-rich lipoproteins to the bloodstream. The maintenance of optimum levels of cholesterol is absolutely necessary as an imbalance might lead to cardiovascular and neurological diseases. Out of the four alleles for the APOE gene, the main causative agent for the onset of Alzheimer’s is the e4 allele. APOE e4 allele leads to the production of amyloid plaques which further cause the accumulation of amyloid β peptides. The excess build-up of such toxic products leads to neuronal death giving rise to early symptoms of the disease. Our research mainly focuses on the identification of potential inhibitors against Sortilin (SORT1) and APOE receptors associated with Alzheimer’s. We have employed scientific software to identify the specific conformations of ligands that show the maximum interaction with the target compound and further analyzed these results by generating descriptors computationally for QSAR studies. The optimum model was generated with r2 = 0.794, s= 0.108. We have been able to select two ligands that can be used as potential drugs to treat Alzheimer’s.

Published by: Swarnali Sarkar

Author: Swarnali Sarkar

Paper ID: V7I4-1868

Paper Status: published

Published: August 26, 2021

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