Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

Synthesis of activated carbon from black liquor for the application of supercapacitor

Abstract: In the present study, black liquor carbonization has been investigated by hydrothermal process. The activated carbon from the carbonization of black liquor (AC-BL) and biomass-based activated carbon from citrus sinensis flavedos (AC-OP) has been investigated for suitability in supercapacitor application. The study has analyzed the electrochemical measurement of both AC-BL and AC-OP in electrochemical stations. The role of stable hydroxyl molecules on the surface of carbon material has been observed and its effective conductivity is studied. The superior performance of AC-OP-derived nanoporous carbon has fast ionic and electronic diffusion of the electrolyte in and out of the pores during charging and discharging due to high surface area. AC-BL exhibited with an EDLC mechanism, but AC-OP shows the pseudocapacitance property. The porous structure and oxygen doping characteristics in AC-BL can influence the potential electrode material for applications in the field of supercapacitors. With the help of this movement, the electronic conductivity of the AC-BL has been increased. In general, the electrochemical stability of the EDLC is far better than the pseudocapacitor. From the GCD analysis, it is observed that the specific capacitance of 17.4 and 148.2 F g−1 is obtained from GCD spectra for AC-BL and AC-OP, respectively. From the EIS analysis, the ESR value is very small for AC-BL (60 Ω), when compared to AC-OP (155 Ω). To conclude that the EIS results of low conductivity by AC-BL have the potential to be future supercapacitors with enhanced treatment in carbonization techniques.

A survey on investigation of vital human parameters from photoplethsmography signal to predict the risk of cardiovascular diseases

Abstract: Cardiovascular disease (CVD) is one of the major cause of death in the recent days. The diabetes patients are mostly affected by Cardiovascular disease. An abnormal respiratory rate, heart rate, blood pressure are habitually fundamental sign of CVD. The occurrence of CVD leads to sudden death. So it is need to predict the CVD earlier. The best method of prediction is by using PPG signal. The measurement of blood pressure, heart rate, respiratory, pulse rate using Photoplethysmography (PPG) provides the health condition in daily life and also ensure the risky disease. This study mainly focusing to measure the health vital parameters using PPG signal.

Influence of Cutting Fluid Flow Rate and Cutting Parameters on the Surface Roughness and Flank Wear of TiAlN Coated Tool In Turning AISI 1015 Steel Using Taguchi Method

Abstract: This paper presents the influence of cutting parameters (Depth of cut, feed rate, spindle speed and cutting fluid flow rate) on the surface roughness and flank wear of physical vapor deposition (PVD) Cathodic arc evaporation coated TiAlN tungsten carbide cutting tool insert during CNC turning of AISI 1015 mild steel. Analysis of Variance has been applied to determine the critical influence of cutting parameters. Taguchi orthogonal test design has been employed to optimize the process parameters affecting surface roughness and tool wear. Depth of cut was found to be the most dominant factor contributing to high surface roughness (67.5%) of the inserts. However, cutting speed, feed rate and flow rate of cutting fluid showed minimal contribution to surface roughness. On the other hand, cutting speed (45.6%) and flow rate of cutting fluid (23%) were the dominant factors influencing tool wear. The optimum cutting conditions for desired surface roughness constitutes the following parameters such as medium cutting speed, low feed rate, low depth of cut and high cutting fluid flow rate. Minimal tool wear was achieved for the following process parameters such as low cutting speed, low feed rate, medium depth of cut and high cutting fluid flow rate.

Design, development, calibration, and testing of indigenously developed strain gauge based dynamometer for cutting force measurement in the milling process

Abstract: In this work, a milling dynamometer based on strain gauge with an octagonal and square ring was designed and tested Strain gauges were attached with the mechanical rings to detect the deformation, during the machining process Wheatstone bridge circuit was equipped with gauges to acquire the strain as voltage owing to the deformation of mechanical rings when machining takes place The finite element analysis (FEA) was used to identify the location of maximum deformation and stress The direction of rings and location of gauges were decided to increase the sensitivity and decrease the cross-sensitivity Then, the cutting force was acquired through NI 6221 M series data acquisition (DAQ) card The dynamometer had undergone a cycle of tests to verify its static and dynamic characteristics The metrological characterization was performed according to the calibration procedure based on ISO 376 – 2011 standard The cutting force was measured with both the dynamometers through milling experiments based on Taguchi’s L9 orthogonal array and the results were recorded The measured cutting force varied from 300 N to 550 N The obtained results depicted that low-cost milling dynamometer was reliable to measure the three component machining force Overall, the square ring based dynamometer provides the better static and dynamic characteristics in terms of linearity, cross-sensitivity (4%), uncertainty (0054%), and natural frequency (36241 rev/s)

Thin layer and deep bed drying basic theories and modelling: a review

Abstract: A comprehensive review of the fundamental theories governing the drying process is presented. The development of models of drying of agricultural products for thin layer and deep bed drying are discussed. The factors affecting drying and the biochemical changes which happen during drying are listed. Importance of moisture diffusion and activation energy consumption for modeling and optimizing the drying processes are highlighted. Normal 0 false false false EN-US X-NONE TA /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0cm; line-height:107%; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman",serif; mso-ansi-language:EN-US; mso-fareast-language:EN-US; font-style:italic;}