Engineering industries continuously face challenges in maintaining a consistently high product quality in terms of dimensional accuracy and surface finish, sustaining a high production rate, and economical processing of materials by minimizing cutting tool wear, rejections and rework. In this study, turning of Titanium alloy (Ti-6Al-4V) has been taken up for optimizing the material removal rate and surface finish, the reason being its wide application in aerospace industry. Cutting speed, feed rate and depth of cut were assigned as the input variables. Design of experiments based on Taguchi technique and L27 orthogonal array was employed to analyze the experimental data and the predicted values. Analysis of variance was used for identify the input parameter exerting maximum influence on surface finish and MRR. It was observed that the experimental results are in good agreement with the predicted values from DOE and multilayered feed forward Artificial Neural Network employed to predict process responses. The optimal values of the input and output parameters are tabulated. DOI: http://dx.doi.org/10.5755/j01.mech.24.4.20251
A customary ratio of vinyl ester (VER) and Polyurethane (PU) resin were chosen as the matrix material (blend) to attain the complete Interpenetrating Polymer Networks (IPN). In this course of research, the mechanical properties of the Banana fiber reinforced IPN (blend) matrix were thoroughly investigated by precisely varying the loading of polyurethane into vinylester as 0%, 10%, 20%, 30%, 40%, 50% PU respectively. Besides that, the fabricated banana fiber reinforced polyurethane loaded IPN laminate were experimentally investigated in order to characterize the strength of the laminate as per the ASTM standards. The test results exhibit that, strain rate of the laminate increases to many folds as compared (Tensile 0% PU -0.45% & 50% PU -3.1%, Flexural 0% PU -0.62% & 50% PU -3.73%) with the neat vinylester resin based banana fiber reinforced laminate. In addition to that, it also increases the impact strength and moisture resistance (Impact 0% PU -2.93 kJ/m 2 & 50% PU -8.01 kJ/m 2 , Moisture 0% PU -0.42% & 50% PU -0.96%) of the IPN laminate considerably depends upon the loading of the polyurethane. As well as to validate further, the fractured surfaces were assessed through Scanning Electron Microscope (SEM). Finally the experimental values were also cross-verified by analytical simulation software by using ANSYS. Finally, the cross-verification proved that both the results of experimental and FEA analysis of the material were in good co-relation with each other.
The austenitic nickel-chromium based super alloy Inconel 718 is considered a difficult material to machine due to a combination of nickel, iron and cobalt. The material exhibits mechanical strength and resistance to surface degradation under extreme pressure and heat. It employed widely in aerospace, jet engines, gas turbine etc. This research work focuses on the optimization of cutting variables for each performance measure obtained by employing grey-Taguchi techniques. The orthogonal array, grey relation analysis and analysis of variance are employed to study the performance characteristics in turning Inconel 718 using a carbide cutting tool insert. Further, a simulation model based on an finite element approach is proposed using DEFORM-3D software for the prediction of tool wear through Usui's tool wear model. The study highlights the optimum cutting conditions and a favorable range of the machining variable values. Finite element method results show that predicted tool wear values according to DEFORM-3D produce a useful and adequate level of accuracy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.