@Research Paper
<#LINE#>Influence of Cutting Parameters on Turning Process Using Anova Analysis<#LINE#>KrishanPrasad@D.V.V.<#LINE#>1-6<#LINE#>1.ISCA-RJEngS-2013-104.pdf<#LINE#>R.V.R. and J.C. College of Engineering Guntur, INDIA <#LINE#>30/1/2013<#LINE#>10/9/2013<#LINE#>  In a turning process surface roughness depend on machining parameters and tool geometry. In this work considering three machining parameters and two tool geometrical parameters 243 experiments were conducted for full factorial design. Using ANOVA analysis the influence of these parameters on surface roughness was studied.  <#LINE#> @ @ Gilbert W.W., Economics of Machining. In Machining – Theory and Practice, Am.Soc.Met., 476-480, (1950) @No $ @ @ Armarego and Brown., The Machining of metals, Prentice Hall Inc, Englewood Cliffs, New Jersey, (1980) @No $ @ @ Brewer R.C. and Rueda R., A Simplified Approach to the Optimum Selection of Machining Parameters, Eng.Dig.,24(9), 133-150 (1963) @No $ @ @  Walvekar A.G. and Lambert B.K., An Application of Geometric Programming to Machining Variable Selection, Int.J.Prod. Res.,8(3) (1970) @No $ @ @ Petropoulos P.G., Optimal Selection of Machining Rate Variables by Geometric Programming, Int.Prod.Res, 11, 305-314 (1973) @No $ @ @ Sundaram R.M., An Application of Goal Programming Technique in Metal Cutting, Int.J.Prod.Res,16, 375-382 (1978) @No $ @ @ Ermer D.S and Kromordihihardo., Optimization of Multi Pass Turning with Constraints, J.Engg, 103, 462-468 (1981) @No $ @ @ Hinduja S., Petty D.J., Tester.M, and barrow.G., calculation of Optimum Cutting Conditions for Turning Operation, Proc.Int Mech. Engg.,199(B2), 81-92 (1985) @No $ @ @ Lambert B.K and Taraman.K., development and Utilization of a Mathematical Model of a Turning Operation, Int.J.Prod. Res.,11, 69-81 (1973) @No $ @ @ Hassan G.A and Suliman.S.M.A., Experimental Modelling and Optimization of Turning Medium Carbon Steel, Int.J.Prod.Res, 1057-1065 (1990) @No $ @ @ El Baradie M.A., Surface Roughness Model for Turning Grey Cast Iron, Proc.Inst.Mech.Engg., 207, 43-50 (1993) @No $ @ @ Sidhu.T.S., optimal selection of Machining Parameters by Using Goal Programming Technique in Single Pass Turning, Sixteenth National Convection of Mechanical Engineers and National Seminar on Future Trends In Mechanical Engineering, Research and Development, Department of Mechanical Engineering and Industrial Engineering, University of Roorkee, 29-30, (2000) @No $ @ @ Yen D.W and Wright R.K., Adaptive Control Machining – A New Approach Based on The Physical Constraints of Tool Wear Mechanisms, ASME J. Engg. Ind.,105, 31-35, (1983) @No $ @ @ D.V.V. Krishna Prasad and K. Bharathi, Multi-Objective Optimization of Milling Parameters for Machining Cast Iron on Machining Centre, Res. J. Engineering Sci., 2(5), 35-39(2013) @No $ @ @ Reddy Sreenivasulu1 and Ch. SrinivasaRao, Design of Experiments based Grey Relational Analysis in Various Machining Processes - A Review, Res. J. Engineering Sci., 2(1), 21-26, (2013) @No $ @ @ M. Mangesh R. Phate, Tatwawadi V.H.and Modak J.P., Modeling and Simulation of Productivity in the Turning of Ferrous and Nonferrous Material using Artificial Neural Network and Response Surface Methodology, Res. J. Engineering Sci., 2(3), 37-44 (2013) @No $ @ @ Reddy Sreenivasulu and Ch.SrinivasaRao, Application of Grey Based - Taguchi Method to Determine Multiple Performance Characteristics in Drilling of Aluminium Alloys – Review, Research J. Engineering Sci., 2(3), 45-51 (2013) @No $ @ @ Murthy B.R.N. and Lewlyn L.R. Rodrigues., Analysis and Optimization of Surface Roughness in GFRP Drilling Through Integration of Taguchi and Response Surface Methodology, Res. J. Engineering Sci., 2(5), 24-29 (2013) @No
@Short Communication
<#LINE#>An autonomous Wireless Hospital Management System<#LINE#>Sarkar@Suvojith,Rajdip@Das<#LINE#>7-9<#LINE#>2.ISCA-RJEngS-2013-098.pdf<#LINE#>Academy of Technology, Aedconagar, Adisaptagram, West Bengal, INDIA @ SKFGI, Mankundu, West Bengal, INDIA <#LINE#>4/8/2013<#LINE#>29/8/2013<#LINE#>  The report describes a Bluetooth based hospital management system which has some specific advantages in terms of time, daily wages etc. The methodology section describes the design and implementation of the proposed system in detail. A device has been set up to demonstrate some wireless advantages. The system includes following prime specialties (assuming the working people in the hospital contains Bluetooth device each). i. All the nurse of the hospital can order medicine from the shop residing in hospital territory through wireless media. ii. A server which is on the medical shop can generate the bill as per the order of the nurse as well as can update its stock of medicine. iii. A nurse can keep in touch with the particular doctor via his/her device, he/she can send the current status of patient to the doctor’s server. iv. Correspondingly the doctor is fully aware of his/her patient via the server. The day by day changing parameters of the patients’ are taken care of. <#LINE#> @ @ Bahl P., Padmanabhan V.N., RADAR, An in-building RFbased user location and tracking system 2000 In Proceedings of IEEE INFOCOM, Tel Aviv (2009) @No $ @ @ Routing Protocols in Mobile Ad Hoc Networks Verma Nupur, Research J. Engineering Sci.,1.6,  36-39 (2012 ) @No $ @ @ Python official website www.python.org @No $ @ @ Tah A., A deadline-driven epidemic data collection protocol suitable for tracking interpersonnel rendezvous, January 1, 2010. ETD Collection for University of Texas, El Paso. Paper AAI1483985(2010) @No $ @ @ Graph Theoretic approach (GTA) A Multi-Attribute Decision Making MADM Technique Attri Rajesh, Dev Nikhil and Sharma Vivek, Res. J. Engineering Sci.,2.1,50-53 (2013) @No