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Kotaiah K.R.,Koneru Lakshmaiah College of Engineering | Srinivas J.,Chaitanya Engineering College | Babu K.J.,Koneru Lakshmaiah College of Engineering
International Journal of Machining and Machinability of Materials | Year: 2010

This paper proposes a neural network-based optimisation scheme for predicting localised stable cutting states in inward turning operation. A set of cutting experiments are performed in inward orthogonal turning operation. The cutting forces and critical chatter locations are predicted as a function of operating variables including tool overhang length. Radial basis function neural network are employed to develop the generalisation models. Optimum cutting parameters are predicted from the model using binary-coded genetic algorithms. Results are illustrated with the data corresponding to four work materials operated over a HSS tool. Copyright © 2010 Inderscience Enterprises Ltd. Source

Kotaiah K.R.,Koneru Lakshmaiah College of Engineering | Srinivas J.,Chaitanya Engineering College
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | Year: 2010

The present paper proposes an analytical stability model of regenerative chatter in orthogonal turning operations. Tool geometry is initially developed as a solid model and analysed at different tool overhang conditions. In each case, stiffness, fundamental bending mode, and corresponding damping ratios of the tool are evaluated. With these data, the cutting tool can be represented with a lumped-parameter, single-degree-of-freedom vibration oscillator. Workpiece dynamics, on the other hand, is considered independently using a discrete finite element beam model. At some contact node of the workpiece, tool mass imposes a regenerative cutting force and second-order dynamic delay differential equations are formulated in terms of tool and modal parameters. The stability criterion is formulated from a characteristic equation. The effects of tool overhang and workpiece cross-section on stability using the proposed model are reported. Experimental analysis is carried out to show the effect of tool overhang on cutting dynamics. Source

Kaladhar M.,Chaitanya Engineering College | Venkata Subbaiah K.,Andhra University | Srinivasa Rao C.H.,Andhra University
Journal of Engineering Science and Technology | Year: 2013

AISI 304 austenitic stainless steel is a popularly used grade in the various fields of manufacturing because of its high ductility, high durability and excellent corrosion resistance. High work hardening, low heat conductivity and high built up edge (BUE) formation made this as difficult-to- machine material. Poor surface quality and rapid tool wear are the common problems encountered while machining it. In the present work, an attempt has been made to explore the influence of machining parameters on the performance measures, surface roughness and flank wear in turning of AISI 304 austenitic stainless steel with a two layer Chemical vapour deposition(CVD) coated tool. In order to achieve this, Taguchi approach has been employed. The results revealed that the cutting speed most significantly, influences both surface roughness and flank wear. In addition to this the optimal setting of process parameters and optimal ranges of performance measures are predicted. © School of Engineering, Taylor's University. Source

Mouli Chandra K.V.V.,Gandhi Institute of Technology and Management | Gopinath C.V.,Chaitanya Engineering College
International Journal of Applied Engineering Research | Year: 2011

This paper presents application of an evolutionary computation technique known as particle swarm optimization for generalized transportation networks. Solid transportation problem arises when bounds are given on modes of transport in addition to the sources and destinations. For deterministic solid transportation, conventionally there is no specific algorithm for its solution. Particle swarm optimization being a multi search optimization methodology, it gives good results in constrained optimization problems. Solid transportation problem is formulated as a linear programming problem and penalized objective function is solved using particle swarm methodology. As an extension of solid transportation problem with multiple options in modes of transport, multi criteria solid transportation is attempted using global criteria method, where in the solution of several solid transportation problems are taken into consideration and a quadratic programming problem is formulated and solved. The results are shown in terms of graphs and tables. © Research India Publications. Source

Supritha R.,Vellore Institute of Technology | Kalyan Chakravarthi M.,Vellore Institute of Technology | Ali S.R.,Chaitanya Engineering College
Lecture Notes in Electrical Engineering | Year: 2016

The advent of new technologies is dragging the attention of visually impaired people towards electronic gadgets. Though the conventional method is preferred by a few, visually impaired people are eager to explore the technological part of the braille system, which is the basic means of communication for them. A Visually Impaired Reconfigurable Author Assistance System (VIRAAS) using LabVIEW is proposed in this paper. The main objective is to convert a telugu language to speech using LabVIEW. © Springer India 2016. Source

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