Optimization of machining parameters of hard porcelain on CNC machine - Agrawal, Saurabh;Gaur, Manoj;Kasdekar, Dinesh
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In order to build up a relationship between quality and productivity, the present work focuses an optimized method to determine multi-objective machining parameters and mathematical models for Material hardness and Pressure on CNC turning machine (SINUMERIK802D). The Hardness and Pressure have identified as quality aspects and are assumed to be directly related to the productivity. In this study, minimization of response parameters has identified by using design of experimental methods, Taguchi Analysis and Response surface methodology (RSM). The experiments were conducted using Taguchi's L27…mehr

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Produktbeschreibung
In order to build up a relationship between quality and productivity, the present work focuses an optimized method to determine multi-objective machining parameters and mathematical models for Material hardness and Pressure on CNC turning machine (SINUMERIK802D). The Hardness and Pressure have identified as quality aspects and are assumed to be directly related to the productivity. In this study, minimization of response parameters has identified by using design of experimental methods, Taguchi Analysis and Response surface methodology (RSM). The experiments were conducted using Taguchi's L27 Orthogonal array in the design of experiment by considering cutting speed, feed rate, angle of cut and depth of cut as Machining parameters.The model for the Hardness and Pressure, as the function of response parameters, was obtained using the RSM. Finally, the result of developed mathematical model was examined by ANOVA. The confirmation test was also carried out for both Taguchi and RSM method using optimal results.Thus, the machining parameters were optimized for attaining objective of minimum Material hardness and Pressure. The analysis of results was computed by using MINITAB 17 software.
Autorenporträt
Dr. Saurabh Agrawal has over 8 years of experience in Nanotechnology research. He is currently works at Intel Corp since 2007. Prior to joining Intel he obtained a PhD in Materials Engineering from Rensselaer Polytechnic Institute, NY, USA. He is a recipient of numberous awards including Indian Academy of Science Fellowship.