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Articles by K. Ramanathan
Total Records ( 2 ) for K. Ramanathan
  R. Prasanna Venkatesh , K. Ramanathan and S. Rama Krishnan
  The modeling and optimization techniques are becoming more popular in engineering design activities because of the availability and affordability of high-speed computers. In this present contribution, a new attempt was made to predict and optimize the tensile property of short roselle and sisal fiber hybrid polyester composite using Neuro-Fuzzy Modeling and Genetic Algorithm Method. The better tensile property with optimum fabrication parameters were obtained by using single objective optimization method of Genetic Algorithm (GA). The tensile property of the natural fiber hybrid polyester composite can be predicted and optimized using Neuro-Fuzzy modeling as a potential modeling technique and Genetic algorithm within the ranges of fabrication parameters.
  P. Pradeep , S. Ayyanar , M. Balasubramanian , K. Ramanathan and V.S. Senthilkumar
  Superplastic forming has become a viable process in manufacturing aircraft and automobile parts such as turbine disc, fan, compressor blades, window frames and seat structures etc., which require relatively high tooling and assembly cost. Superplasticity is a property of certain metallic materials which enable them to achieve very high elongations (500% and more) without necking under certain conditions. This is attributed to the viscous behavior exhibited by those metals and alloys with very fine and stable grain structure at temperatures above half the melting point. The present work proposes to develop an experimental setup to find out the parametric influences and their effects on superplastic forming of aluminum alloy. This alloy is most suitable materials for producing complex shapes using superplastic forming methods. This work analyzes data on the friction coefficient, strain rate sensitivity, optimum pressure, bulge forming time and strain rate on the thickness distribution. Superplastic deformation is carried out close to isothermal conditions under controlled strain rate. The optimum strain rate varies with the material, which is usually in the order of 0.001-0.00001 sec-1. Owing to the recent advancements in modeling and analysis, Finite Element Method (FEM) has evolved as a powerful tool in the simulation of superplastic forming processes (SPF) with accurate prediction of the deformation characteristics. The numerical simulation and FEA analysis result are reasonably agrees for the parametric relation of pressure and time.
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