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Raja D.,Salem College | Babu V.R.,Kumaraguru College of Technology | Senthilkumar M.,PSG Polytechnic College | Ramakrishnan G.,Kumaraguru College of Technology | Kannan N.,Salem College
Journal of Industrial Textiles | Year: 2014

The dynamic sweat transfer tester for analyzing the sweat transfer behavior of multi-weave structure fabrics (single fabric contains different weave structures) has been designed and developed. This instrument has been developed to evaluate the sweat transfer rate in 16 different directions and 48 different regions for a test specimen of 7 cm diameter. The concept of the sweat measurement is to measure the sweat transport time required to reach the unit area of the fabric. The instrument works under the principle of electrical conductivity, that is, wetted cotton fabric acts as an electrical conductor between the power connected (5 V) copper pins and ground connected copper pins. The unique feature of this instrument is that the sweat transfer rate can be measured in fabrics which have irregular spreading behavior (single fabric that has different weave structures) at one step. Twelve different woven fabrics have been analyzed for the sweat transfer behavior using the instrument, and the results were well correlated (R2 = 0.925) with manual test method. © SAGE Publications 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav. Source


Theivarasu C.,PSG College of Technology | Chandra S.,PSG Polytechnic College
International Journal of ChemTech Research | Year: 2014

Elephant Dung Activated Carbon (EDAC) prepared by acid treatment was used as an eco friendly adsorbent for the removal of a textile dye, Crystal Violet (CV) from an aqueous solution. Batch adsorption experiments were carried out to determine the kinetic, thermodynamic and isotherm parameters by varying the initial dye concentration and temperature. The adsorption kinetic data were correlated with Pseudo first order, Pseudo second order and Elovich models. Pseudo second order kinetic model fitted very well with the experimental data. The mechanism of adsorption process was determined by studying the intra particle diffusion and liquid film diffusion models. The effect of pH on percentage removal of CV was studied. It was found that the maximum adsorption took place in neutral and alkaline medium. The thermodynamic parameters like Gibb's Free energy change (ΔG), Entropy change (ΔS) and enthalpy change (ΔH) were calculated. The results indicated that CV adsorption process was endothermic and spontaneous. The experimental data were correlated with Langmuir, Freundlich and Temkin adsorption isotherm models. The data was best represented by Langmuir isotherm model. Source


Theivarasu C.,PSG College of Technology | Chandra S.,PSG Polytechnic College
Oriental Journal of Chemistry | Year: 2011

Low cost activated carbon prepared from elephant dung was used as an eco-friendly adsorbent for the removal of the textile dye Rhodamine B from an aqueous solution. The adsorbent was characterized by Scanning Electron Microscope (SEM), X-Ray Diffraction(XRD), Thermo gravimetric(TG) and Fourier Transform Infra red (FT-IR)analysis. Batch adsorption experiments were carried out by varying the initial dye concentration, adsorbent dosage, pH and temperature. Zeta potential (pHZPC) was found to be 3.2. The optimum dosage of the adsorbent was found to be 100 mg. The adsorption process reached equilibrium within 240 minutes. Maximum amount of dye was adsorbed at pH 3. The percentage removal of the dye was increased with increase in temperature. The adsorption followed pseudo second order kinetic model. The experimental data can be best fitted with Langmuir isotherm compared to Freundlich isotherm. The thermodynamic parameters like Gibb's Free energy change (AG), Entropy change (AS) and enthalpy change (AH) were calculated which indicated that Rhodamine B adsorption process was endothermic and spontaneous. Source


Theivarasu C.,PSG College of Technology | Chandra S.,PSG Polytechnic College
Electronic Journal of Environmental, Agricultural and Food Chemistry | Year: 2011

Low cost activated carbon prepared from elephant dung was used as an eco friendly adsorbent for the removal of the textile dye Reactive orange 16 from an aqueous solution. The adsorbent was characterized by Scanning electron microscope (SEM), Thermo gravimetric analysis (TG/DTA), X-Ray diffraction method (XRD) and Fourier Transform Infrared spectroscopic analysis (FT-IR). Batch adsorption experiments were carried out by varying the initial dye concentration, adsorbent dosage, pH and temperature. Zeta potential (pH ZPC) was found to be 3.2.The optimum dosage of the adsorbent was found to be 250 mg. The adsorption process reached equilibrium within 240 minutes. Maximum amount of dye was adsorbed at pH 2. The percentage removal of the dye increased with increase in temperature. The adsorption followed pseudo second order kinetic model. The experimental data can be best fitted with Langmuir isotherm compared to Freundlich isotherm. The thermodynamic parameters like ΔG, ΔS and ΔH were calculated which indicated that adsorption process was endothermic and spontaneous. Source


Rajamani A.,PSG Polytechnic College | Krishnaveni V.,PSG College of Technology
International Journal of Tomography and Simulation | Year: 2015

Visual communication plays vital role in modern trend and finds its applications in many image processing domains. While transmitting and storing the digital information, images are affected by different types of noises. Moreover images are often corrupted by source of noise due to a noisy channel or faulty image acquisition device. Many researchers have developed several algorithms for removing noise. The main aim is to suppress the noise while preserving the integrity of the edges and details of images. This paper exploits the soft computing technique of Adaptive Network based Fuzzy Inference System which is also known as Adaptive Neuro-Fuzzy Inference System (ANFIS) for different level of noise removal. It is presently finding numerous applications in variety of fields since Neuro-Fuzzy system adaptive of the Fuzzy system and the neural learning algorithm. The parameters are learned by Neural Network using optimized learning method. This paper deals with restoration of images from different noise sources by using ANFIS with different Membership Functions [MFs] and training epochs are examined. The technique outperforms and the results obtained are very good in both qualitative and quantitative wise. © 2015 by CESER PUBLICATIONS. Source

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