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S. Ramesh

Bio: S. Ramesh is an academic researcher from KCG College of Technology. The author has contributed to research in topics: Machining & Surface roughness. The author has an hindex of 9, co-authored 48 publications receiving 503 citations. Previous affiliations of S. Ramesh include Sri Sairam Institute of Technology & Presidency University, Kolkata.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the effect of cutting parameters on the surface roughness in turning of titanium alloy has been investigated using response surface methodology, and the results revealed that the feed was the most influential factor which affect the surface rouness, while chip formation and SEM analysis are discussed to enhance the supportive surface quality achieved in turning.

126 citations

Journal ArticleDOI
TL;DR: In this article, the use of response surface methodology for minimizing the surface roughness in machining titanium alloy, a topic of current interest, has been discussed in the context of machining.
Abstract: The use of response surface methodology for minimizing the surface roughness in machining titanium alloy, a topic of current interest, has been discussed in this article. The surface roughness model has been developed in terms of cutting parameters such as cutting speed, feed, and depth of cut. Machining tests have been carried out using CVD (TiN–TiCN–Al2O3–TiN) coated carbide insert under different cutting conditions using Taguchi's orthogonal array. The experimental results have been investigated using analysis of variance (ANOVA). The results indicated that the feed rate is the main influencing factor on surface roughness. Surface roughness increased with increasing feed rate, but decreased with increasing cutting speed and depth of cut. The predicted results are fairly close to experimental values and hence, the developed models can be used for prediction satisfactorily.

119 citations

Journal ArticleDOI
TL;DR: In this paper, a tool in artificial intelligence is used for the prediction of cutting parameters in turning titanium alloy (Ti-6Al-4V) and the parameters considered in this study are cutting speed, feed, and the depth of cut.
Abstract: Titanium alloys are utilized in many engineering fields such as chemical, industrial, marine, and aerospace due to their unique properties. Machining of these materials causes severe problems. At high temperatures, they become chemically active and tend to react with tool materials. In the present study, fuzzy logic (a tool in artificial intelligence) is used for the prediction of cutting parameters in turning titanium alloy (Ti-6Al-4V). The parameters considered in this study are cutting speed, feed, and the depth of cut. Fuzzy rule-based modeling is employed for prediction of tool flank wear, surface roughness, and specific cutting pressure in machining of titanium alloy. These models can be effectively used to predict the tool flank wear, surface roughness, and specific cutting pressure in machining of titanium alloys. Analysis of the influences of the individual important machining parameters on the responses have been carried out and presented in this study.

73 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the mechanical, tribological, and thermal properties of hemp fiber reinforced egg shell epoxy polymer composites and carried out experiments to study the effect of these properties on their performance.
Abstract: The aim of this work is to examine the mechanical, tribological, and thermal behaviour of hemp fibre reinforced egg shell epoxy polymer composites. Experiments are carried out to study the effect o...

61 citations

Journal ArticleDOI
01 Sep 2013
TL;DR: Inconel 718 as discussed by the authors, the optimum parameters in machining nickel-based alloy were selected by extensive experiments in the past for selecting the optimum parameter for machining the alloy.
Abstract: Extensive researchers have conducted several experiments in the past for selecting the optimum parameters in machining nickel based alloy – Inconel 718. These experiments conducted so far are dealt...

55 citations


Cited by
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Journal Article
TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

13,333 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of machining parameters such as cooling condition, cutting speed, feed rate and depth of cut on arithmetic average roughness (Ra) and average maximum height of the profile (Rz) when turning of AISI 1050 steel was investigated.

295 citations

Journal ArticleDOI
TL;DR: In this article, the effects of spindle speed, feed per tooth and depth of cut on tool wear, force and surface roughness were investigated using first-order models with interaction.

212 citations

Journal ArticleDOI
TL;DR: In this paper, the machinability studies for titanium and nickel alloys are reviewed with reference to cutting tool materials, associated wear mechanisms, failure modes, and novel tooling techniques.
Abstract: Titanium and nickel alloys are the most commonly used in the demanding industries like aerospace, energy, petrochemical, and biomedical. These highly engineered alloys offer unique combination of heat resistance, corrosion resistance, toughness, high operating temperature, and strength-to-weight ratio. These alloys are termed as “Difficult to cut materials” because of their low machinability rating. They are difficult to machine because of properties like low thermal conductivity, high strength at elevated temperatures, and high chemical reactivity. Machining of titanium- and nickel-based alloys causes problems of surface integrity and selection of cutting tool materials that is always a challenge for manufacturers. In this work, machinability studies for titanium and nickel alloys are reviewed with reference to cutting tool materials, associated wear mechanisms, failure modes, and novel tooling techniques. It also discusses major surface integrity defects like carbide cracking, white layer formation, wor...

209 citations

Journal ArticleDOI
TL;DR: In the recent decade, the growth of the natural fiber reinforced polymer (NFRP) composite has made a considerable impact on the polymer composite research and innovation as mentioned in this paper, and this rapid growth warranted their properties over low-cost synthetic fiber composites and reduced environmental impacts.

186 citations