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Natarajan U.,Alagappa Chettiar College of Engineering And Technology | Chellamalai M.,Central Manufacturing Technology Institute
International Journal of Materials Engineering Innovation | Year: 2011

Response surface methodology (RSM) helps the engineers to raise a mathematical model to represent the behaviour of system as a convincing function of process parameters. This paper investigated the influence of three micro-turning process parameters, which were cutting speed (A), feed rate (B) and depth of cut (C). The response variables were average surface roughness (Ra), tool wear ratio (TWR) and metal removal rate (MRR). Statistical models of these output responses were developed using three-level full factorial design of experiment. The developed models were used for multi-response optimisation by desirability function approach to obtain minimum Ra TWR and maximum MRR. Maximum desirability was found to be 86.63%. The optimised values of Ra, TWR and MRR were 0.0295 μm, 0.0272, 0.098 mg/min respectively for 1101.94 rpm cutting speed, 10 μm/sec feed rate, 0.20 μm depth of cut. Optimised machining parameters were used in verification experiments, where the responses were found very close to the predicted values. © 2011 Inderscience Enterprises Ltd. Source


Ramesh C.S.,PES Institute of Technology | Ramesh C.S.,Bournemouth University | Keshavamurthy R.,Central Manufacturing Technology Institute | Koppad P.G.,PES Institute of Technology | Kashyap K.T.,PES Institute of Technology
Transactions of Nonferrous Metals Society of China (English Edition) | Year: 2013

Studies on texture and microstructure evolution in hot extruded Al 6061 aluminium alloy reinforced with uncoated and nickel coated SiCp were carried out by electron backscattered diffraction technique. Textures of both the alloy and its composite with nickel coated SiCp do exhibit strong β fiber with its axis parallel to the direction of extrusion. In addition to the dominant cube texture (001)〈100〉, fully recrystallized grains with partially equiaxed structure have been observed in the alloy reinforced with uncoated SiCp. The recrystallization texture of this composite can be attributed to the particle stimulated nucleation (PSN) due to the presence of SiCp with size less than 5 μm. Under these conditions, the low value of Zener-Hollomon, Z (∼ 1012 s-1) confirms that PSN is one of the dominant mechanisms for recrystallization and is governed by formation of deformation zone rather than stored energy. © 2013 The Nonferrous Metals Society of China. Source


Natarajan U.,Alagappa Chettiar College of Engineering And Technology | Chellamalai M.,Central Manufacturing Technology Institute
Machine Vision and Applications | Year: 2013

In this paper, a new attempt has been made in the area of tool-based micromachining for automated, non-contact, and flexible prediction of quality responses such as average surface roughness (R a), tool wear ratio (TWR) and metal removal rate (MRR) of micro-turned miniaturized parts through a machine vision system (MVS) which is integrated with an adaptive neuro-fuzzy inference system (ANFIS). The images of machined surface grabbed by the MVS could be extracted using the algorithm developed in this work, to get the features of image texture [average gray level (G a)]. This work presents an area-based surface characterization technique which applies the basic light scattering principles used in other optimal optical measurement systems. These principles are applied in a novel fashion which is especially suitable for in-process prediction and control. The main objective of this study is to design an ANFIS for estimation of R a, TWR, and MRR in micro-turning process. Cutting speed (S), feed rate (F), depth of cut (D), G a were taken as input parameters and R a, TWR, MRR as the output parameters. The results obtained from the ANFIS model were compared with experimental values. It is found that the predicted values of the responses are in good agreement with the experimental values. © 2011 Springer-Verlag. Source


Meenakshi G.,CSIR - Central Leather Research Institute | Sivasamy A.,CSIR - Central Leather Research Institute | Suganya Josephine G.A.,CSIR - Central Leather Research Institute | Kavithaa S.,Central Manufacturing Technology Institute
Journal of Molecular Catalysis A: Chemical | Year: 2016

ZnO/SiC nanocomposites were fabricated by a simple sol-gel process for exhibiting an enhanced photocatalytic activity under UV and visible light irradiation. The prepared photocatalysts were characterized by XRD, UV-DRS, FT-IR, AFM, FE-SEM, EDAX, HR-TEM, SAED, XPS and EPR analysis. XRD and FE-SEM showed that the prepared photocatalysts were nanocrystalline. Band gap energies of synthesized ZnO/SiC composites were calculated using diffuse reflectance spectroscopy (DRS). High surface roughness and porosity were confirmed by AFM analysis. The XPS survey spectrum clearly revealed the presence of Zn (2p), Si (2p), O1s (530.2 eV)and C (1s) in the prepared composite material. ZnO/SiC photocatalyst produced OH radicals instantaneously within 60 s and 15 min for UV and visible irradiation respectively when compared to 180 s and 30 min for pristine ZnO which were confirmed by EPR spin trapping technique. This fast rate of OH radical formation is due to the presence of charge transfer mechanism in the prepared ZnO/SiC photocatalyst. The photocatalytic efficacy of the prepared catalyst was studied for the degradation of phenol as a model pollutant in the aqueous phase. The photodegraded samples were analyzed by UV-visible spectroscopy, COD analysis. ZnO/SiC nanocomposites showed a two fold increase in photocatalytic activity compared to pristine ZnO and reusability without affecting its performance upto three cycles. It also followed a pseudo first order kinetics. © 2015 Elsevier B.V. All rights reserved. Source


Joel Johnson R.D.,Karunya University | Ugrasen G.,Central Manufacturing Technology Institute
Applied Mechanics and Materials | Year: 2014

In this present work, Investigation was carried on the surface of laser dressed super abrasive grinding wheel o study the topography of the super abrasive wheel surface, the residual stress distribution on the laser dressed surface of the wheel and to analyse the heat affected zone of the wheel surface. To investigate all this terms the experimental study of Scanning Electron Microscope and Raman Spectroscopy on the laser dressed wheel surface were done and objective of this work is also to show the effectiveness of laser dressing by measuring the surface roughness of the workpiece before and after laser dressing operation. © (2014) Trans Tech Publications, Switzerland. Source

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