Sri Ramakrishna Engineering College

About: Sri Ramakrishna Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Control theory. The organization has 1030 authors who have published 843 publications receiving 3822 citations.

Comparative analysis of deflection in a bimetal

Abstract: A Bimetal is a combination of two different metals, which is employed in electrical appliances as a circuit breaker to prevent the overflow of current. The primary objective of this work is to examine the deflection produced in the bimetal component, due to electro-thermal load induced when the current flows through it. Copper and stainless steel are the most widely used metals having different coefficient of linear thermal expansion were taken as a bimetal composition and the same has been compared with Stainless steel and Aluminum. Modeling and analysis of the bimetal component, with different amperes, has been done using ANSYS and resulted stainless steel - Aluminium combination were shown higher deflection during the Analysis.

Design and analysis of an Amplifier circuit using Micron Technology

Abstract: In late patterns different strides like rationale enhancement dividing, floor planning, situation and directing are utilized for plan of any VLSI circuits. Among the above strides floor arranging and arrangement assume an essential part in incorporated circuit plan. A few parts in a circuit as a group, are called modules or squares, and these modules are associated with each other through interconnections which are known as ‘wires’. The aggregate region, control, size, temperature and cost of any circuit configuration can be minimized with the assistance of situation and floor arranging. There are numerous procedures that can be utilized to figure and minimize the parameters expressed previously. Single IC comprises of different Processing Elements (PE's), which deals with different voltage ranges. Because of this the IC control utilization increments, along these lines temperature of the chip likewise increments. The primary objective of this paper is to concentrate on count of territory and force of any entangled VLSI circuit and to indicate Microwind reenactment yield for future plan of any convoluted circuits for different temperature ranges. The Submicron Technology is generally utilized for outline of any simple circuits in Microwind.

Production of Al–TiB2 Composites with Grain Modification by Strontium and Magnesium

Abstract: The effect of titanium diboride (TiB2) on the widely used automotive aluminium cast alloy was studied by making Al–Si10Cu2Fe alloy and titanium diboride composites via the stir casting route to enhance the mechanical characteristics. The effects of a minor addition of Al grain modifier (strontium) and magnesium on the wettability of the reinforcements in the production of Al–Si10Cu2Fe composites were discussed. Semi-quantitative analysis through Optical Emission Spectroscopy and qualitative study through X-ray diffraction were conducted to determine the elementary composition and the precipitate formation on the composite. The addition of strontium and magnesium reinforcements to the Al–Si10Cu2Fe alloy composite shows significant improvement in tensile, elongation, and hardness, as well as mechanical properties through microstructural modification of aluminium and other alloying elements in the composite, which were studied and discussed.

Electrochemical Machining of SS (Stainless Steel) 202

Abstract: Electrochemical machining (ECM) is a non-traditional manufacturing process that can machine difficult-to-cut materials. In ECM, the material is removed by controlled electrochemical dissolution of an anodic workpiece in an electrochemical cell. ECM has extensive applications in automotive, petroleum, aerospace, textile, medical, and electronics industries. An in-house designed electrochemical cell was used for machining stainless steel 202 by ECM. The aim of this project is to study the material removal rate in an electrochemical machining process of SS 202 material. When the electrodes are immerged in the electrolyte the electrons are removed from the anode and deposited in the electrolytic tank. After taking the first reading the electrode immerged in the electrolyte again with high distance. So the electrons are removed from the anode for the given distance. The electrode distance also varied.

BABW: Biometric‐Based Authentication Using DWT and FFNN

Abstract: In this digital era, information security and authentication are crucial. Traditional, as well as modern, methods of identification are not capable of protecting the vast amounts of confidential data that exist worldwide. Conventional identification methods, such as passwords, secret codes, and personal identification numbers are compromised easily and also easily shared, observed, stolen, or forgotten. However, a possible alternative in determining the identities of users is to use biometrics. The brain wave as a biometric for authentication has several advantages that it cannot be stolen or replicated. Even differently abled persons shall comfortably use brain wave authentication systems rather than other authentication systems. Thus, brain wave authentication becomes one of the competing authentication systems and paves way for promising research. The brain wave signal that echoes the brain activity is captured by Electroencephalogram. Although the acquisition of EEG signal is feasible with advancement of technology, the development of authentication system using brain waves poses many challenges because of the nature of the brain waves activity of human beings. The proposed automatic biometric-based user recognition uses brain waves activity for authentication. The acquisition of EEG signal is done and compressed using discrete wavelet transform (DWT). The Feed Forward Neural Network (FFNN) is used for pattern matching in order to provide accurate results. The accuracy of proposed BABW algorithm is 87.7% and is better than other algorithms in the literature.