Perundurai, India
Perundurai, India

The Kongu Engineering College is an ISO certified institution located at KEC Nagar Perundurai, Erode of Tamil Nadu in India. It was founded by Kongu Vellalar Institute of Technology Trust in 1984. To achieve technical excellence in their rural areas, 41 philanthropists from different walks of life, who realized the need for technical education formed KVITT.Kongu Engineering College has an air conditioned auditorium that accommodates 5,000 people. The Institution is a possession of Kongu Vellalar Institute of Technology Trust in Erode District, Tamil Nadu. Kongu Vellalar is an influential community in western part of Tamil Nadu.Affiliated to Anna University, Chennai, the college has completed 27 years in the field of technical education. The institution has an area of 173.25 acres of land. It is ranked 4th overall among the list of private Engineering colleges in Tamil Nadu, and also, it comes in the list of top 60 private and government engineering colleges combined in India.The college became an autonomous university in 2009. Wikipedia.


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Prakash Maran J.,Kongu Engineering College | Mekala V.,University of Leeds | Manikandan S.,SRM University
Carbohydrate Polymers | Year: 2013

Polysaccharides from pumpkin were extracted by ultrasound-assisted extraction technology using four factors at five levels central composite rotatable response surface design (CCRD). On using single factor analysis, process variables such as extraction temperature (50-70 °C), power of ultrasound (50-70 W), time (15-25 min) and solid-liquid ratio (1:10-1:20 g/ml) were selected. Experiments were conducted to evaluate the effects of four independent variables on the maximum extraction yield of polysaccharides. From the experimental data, second order polynomial mathematical model were developed with high coefficient of determination values (R2 > 0.96). From response surface plots, temperature and ultrasound power exhibited independent and interactive effects on the extraction yields. Extraction temperature of 70 °C, ultrasound power of 70 W, time of 23 min and solid-liquid ratio of 1:10 g/ml were determined as optimal conditions with a maximum polysaccharides yield of 16.21%, which was confirmed through the validation of the experiments. © 2012 Elsevier Ltd.


Maran J.P.,Kongu Engineering College | Priya B.,SRM University
International Journal of Biological Macromolecules | Year: 2014

In this study, ultrasound-assisted extraction technology was employed to investigate and optimize the crude polysaccharide extraction from Nephelium lappaceum L. Fruit peel using three levels, four factors (LS ratio, ultrasonic power, extraction temperature and extraction time) Box-Behnken response surface design. The results showed that highest polysaccharide yield of 8.31% was obtained with an LS ratio of 32:1. ml:g, ultrasonic power of 110. W, extraction temperature of 53. °C and extraction time of 41. min. The experimental yield of polysaccharide (8.29. ±. 0.03%) at optimal condition was well agreed with the predicted value. Fourier transform infrared spectroscopy (FTIR) was used for the identification of functional groups present in the extracted polysaccharide. The results suggest that ultrasound-assisted extraction could be a good alternative for the extraction of polysaccharide from N. Lappaceum L. Fruit peel at industrial level. © 2014 Elsevier B.V.


Prakash Maran J.,Kongu Engineering College | Priya B.,SRM University
Ultrasonics Sonochemistry | Year: 2015

The present study is to evaluate and compare the prediction and simulating efficiencies of response surface methodology (RSM) and artificial neural network (ANN) based models on fatty acid methyl esters (FAME) yield achieved from muskmelon oil (MMO) under ultrasonication by two step in situ process. In first in situ process, free fatty acid content of MMO was reduced from 6.43% to 0.91% using H2SO4 as acid catalyst and organic phase in the first step was subjected to second reaction by adding KOH in methanol as basic catalyst. The influence of process variables (methanol to oil molar ratio, catalyst concentration, reaction temperature and reaction time) on conversion of FAME (second step) was investigated by central composite rotatable design (CCRD) of RSM and Multi-Layer Perceptron (MLP) neural network with the topology of 4-7-1. Both (RSM and ANN) were statistically compared by the coefficient of determination, root mean square error and absolute average deviation, based on the validation data set. The coefficient of determination (R2) calculated from the validation data for RSM and ANN models were 0.869 and 0.991 respectively. While both models showed good predictions in this study. But, the ANN model was more precise compared to the RSM model and it showed that, ANN is to be a powerful tool for modeling and optimizing FAME production. © 2014 Elsevier B.V. All rights reserved.


Maran J.P.,Kongu Engineering College | Priya B.,SRM University
Carbohydrate Polymers | Year: 2015

In this study, an efficient ultrasound-assisted extraction (UAE) of pectin from sisal waste was investigated and optimized. Response surface methodology (RSM) based on a three-level four-factor Box-Behnken response surface design (BBD) was employed to optimize the extraction conditions (ultrasonic power, extraction temperature, extraction time and solid-liquid ratio). Analysis of variance showed that the contribution of a quadratic model was significant for the pectin extraction yield. The experimental yield (29.32%) was obtained under the optimal condition (ultrasonic power of 61 W, temperature of 50°C, time of 26 min and SL ratio of 1:28 g/ml) was well agreement with predicted values. Therefore, ultrasound-assisted extraction could be used as an alternative method to extract pectin from sisal waste with the advantages of lower extraction temperatures, shorter extraction time and reduced energy consumption. © 2014 Elsevier Ltd. All rights reserved.


Prakash Maran J.,Kongu Engineering College | Manikandan S.,SRM University
Dyes and Pigments | Year: 2012

The objectives of this study are to determine the optimum conditions for the aqueous extraction of pigments from prickly pear fruit using a three-level three-factor Box-Behnken design under response surface methodology. Pigments were extracted from prickly pears using water as solvent at different extraction temperature (30-50°C), time (20-120 min) and mass of fruit (0.5-1.5 g). The experimental data obtained were analyzed by Pareto analysis of variance (ANOVA) and fitted to a second-order polynomial equation using multiple regression analysis. An optimization study using Derringer's desired function methodology was performed and the optimal conditions based on both individual and combinations of all responses (extraction temperature of 40°C, time of 115 min and mass of 1.44 g) were determined. At this optimum condition, the total betacyanin and betaxanthin content were found to be 13.4354 mg/100 g and 24.2922 mg/100 g with desirability value of 0.917. The experimental values agreed with those predicted values. © 2012 Elsevier Ltd. All rights reserved.


Thirugnanasambandham K.,Kongu Engineering College | Sivakumar V.,Kongu Engineering College | Prakash Maran J.,Kongu Engineering College
Carbohydrate Polymers | Year: 2013

The objectives of the present study is to investigate the chitosan as an adsorbent to treat rice mill wastewater under different process conditions such as agitation time (2-6 min), initial pH (2.5-6.5), chitosan dose (400-800 mg/l) and settling time (10-30 min) in order to study the removal efficiency of chemical oxygen demand (COD) and total suspended solids (TSS). The results showed that, all process variables have significant effect on the removal efficiencies. The optimum process conditions were determined (agitation time of 4 min, initial pH of 4.5, chitosan dose of 600 mg/l and settling time of 20 min) and showed high removal efficiencies (COD: 98% and TSS: 95%). FT-IR spectrophotometry was used to analyze and confirm the adsorption process. From the experimental data, Box-Behnken design (BBD) was used to develop the second order polynomial models with high coefficient of determination values (COD: 0.991 and TSS: 0.989). © 2013 Elsevier Ltd. All rights reserved.


Alexander S.A.,Kongu Engineering College
Renewable and Sustainable Energy Reviews | Year: 2016

In this paper, the power quality improvement techniques with respect to various modulation algorithms for the solar Photovoltaic (PV) inverter are reviewed. In power quality, harmonics are an important concern in all the utility sectors. The factors that contribute the harmonic distortion on distribution systems include increased application of capacitors and non-linear devices. In order to improve the power quality and also to maintain stable power supply performance, an inverter topology with harmonic reduction techniques is required. The design and development of solar Photovoltaic inverter suitable for the Indian sub-continent is proposed and reviewed in terms of survey, simulation and experimental results. The proposed multi-stage inverter provides the advantage of reduced harmonic distortions and suitable for standalone and grid connected systems. The reduction of harmonics is governed by proper switching sequences required for the inverter switches. Modified multicarrier modulation techniques are developed in a single chip controller. A 3 kWp solar PV plant with multistage inverter system is implemented and as per the results, the quality of power is increased and achieved the desired output voltage inspite of variations in the solar PV. © 2015 Elsevier Ltd.


Sathishkumar T.P.,Kongu Engineering College | Navaneethakrishnan P.,Kongu Engineering College | Shankar S.,Kongu Engineering College
Composites Science and Technology | Year: 2012

Natural fiber composite materials are one such capable material which replaces the conventional and synthetic materials for the practical applications where we require less weight and energy conservation. The present paper, which emphasis the importance of the newly identified snake grass fibers which are extracted from snake grass plants by manual process. In this paper, the tensile properties of the snake grass fiber are studied and compared with the traditionally available other natural fibers. The mixed chopped snake grass fiber reinforced composite is prepared by using the isophthallic polyester resin and the detailed preparation methodology is presented. Fiber pull-outs on the fractured specimen during the physical testing of the composites are also investigated. The experimental evidence also shows that the volume fraction increases the tensile, flexural strength and modulus of the snake grass fiber reinforce composite. © 2012 Elsevier Ltd.


Maran J.P.,Kongu Engineering College | Prakash K.A.,Kongu Engineering College
International Journal of Biological Macromolecules | Year: 2015

The objectives of the present study were to evaluate and optimize the influence of process variables such as microwave power, pH, time and solid-liquid ratio on the extraction of pectin from waste Carcia papaya L peel. The experiments were carried out based on a four factors three level Box-Behnken response surface design. A quadratic model was developed from the experimental data in order to predict the pectin yield. The optimal condition was found to be: microwave power of 512. w, pH of 1.8, time of 140. s and solid-liquid ratio of 1:15. g/ml with maximum pectin yield (25.41%). © 2014 Elsevier B.V.


Maran J.P.,Kongu Engineering College
International Journal of Biological Macromolecules | Year: 2015

The objectives of this present study was to investigate and optimize the aqueous extraction conditions such as solid-liquid (SL) ratio (1:5-1:15 g/ml), pH (2-3), extraction time (20-60 min) and extraction temperature (75-95 °C) on maximum extraction of pectin from durian rinds using four factors, three levels Box-Behnken response design. The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis and analyzed by analysis of variance (ANOVA). The optimum extraction condition was found to be as follows: SL ratio of 1:10 g/ml, pH of 2.8, extraction time of 43. min and extraction temperature of 86 °C respectively. Under the optimal conditions, the experimental pectin yield (9.1%) was well correlated with predicted yield (9.3%). © 2014 Elsevier B.V.

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