ISBN-13: 9783659777882 / Angielski / Miękka / 2015 / 80 str.
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.
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 Taguchis 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.