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International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) ISSN (P): 2249–6890; ISSN (E): 2249–8001 Vol. 10, Issue 2, Apr 2020, 515–526 © TJPRC Pvt. Ltd. MECHANICAL BEHAVIOR AND CHARACTERIZATION OF STIR CASTED AZ31-CaSiO 3 METAL MATRIX COMPOSITES PENUGONDA SURESH BABU 1* , K. L. NARAYANA 2 & V. V. KONDAIAH 3 1Research Scholar, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, Andhra Pradesh, India 2Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, Andhra Pradesh, India 3Associate Professor, Department of Mechanical Engineering, Bapatla Engineering College, Bapatla, Guntur District, Andhra Pradesh, India ABSTRACT Metal Matrix Composites (MMCs) are widely used in many engineering applications nowadays and play a key role, especially AZ31 magnesium alloy got much importance due to its specific characteristics suitable for both Engineering and Biomedical fields. In this work, MMCs with the pure AZ31 Magnesium alloy as matrix and Calcium silicate (CaSiO ) as reinforcement were developed with a bottom pouring type stir casting machine in argon gas inert 3 Article Original atmosphere. The percentage of CaSiO 3 has been increased from 2% to 8% in steps of 2% by weight. The microstructural analysis, X-ray diffraction (XRD) analysis and hardness tests have been performed and found that the reinforcement has been observed as CaSiO 3, which is distributed throughout the volume of the samples, no new phase or impurities were identified in the composites and composite with 98% AZ31 with 2% CaSiO 3 reveals better hardness values compared with other prepared composites. KEYWORDS: AZ31, Calcium Silicate, Hardness Test, Magnesium Composite & Stir Casting Received: Dec 20, 2019; Accepted: Jan 10, 2020; Published: Mar 12, 2020; Paper Id.: IJMPERDAPR202046 www.tjprc.org SCOPUS Indexed Journal [email protected] .

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Visualizing the Financial Impact of Presidential Tweets on Stock Markets Ujwal Kandi1, Sasikanth Gujjula2, Venkatesh Buddha3 and V S Bhagavn4* 1,2,3Department of Electronics and Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur -522502, Andhra Pradesh, India. 4*Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur -522502, Andhra Pradesh, India. [email protected], [email protected], [email protected], 4*[email protected] Abstract As more and more data being created every day, all of it can help take better decisions with data analysis. It is not different with data generated in financial markets. Here we examine the process of how global economy is affected by the market sentiment influenced by the micro-blogging data (tweets) of the American President Donald Trump. The news feed is gathered from The Guardian and Bloomberg from the period between December 2016 and October 2019, which are used to further identify the potential tweets that influenced the markets as measured by changes in equity indices. Keywords: Stock Market Performance, Stock Price, President Trump, Tweets, Behavioral Finance. 1. Introduction When it comes to stock market volatility, one of the most fundamental questions for academics and practitioners is regarding the role played by information. The question of whether microblogging data is reflected in the social media-era stock market is an outstanding one. The paper will focus on the tweets by the US President, whose statements on Twitter are known to be controversial, and might have an impact over the stock markets, considerably. But, all this actions do not have an equal impact over the companies.
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Andhra Pradesh Sl.No
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