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![Otimização do processo de fresagem em face para D3 (Die Steel) utilizando RSM]( "Otimização do processo de fresagem em face para D3 (Die Steel) utilizando RSM")
Otimização do processo de fresagem em face para D3 (Die Steel) utilizando RSM23,99 €![Optimierung des Planfräsprozesses für D3 (Gesenkstahl) mit Hilfe von RSM]( "Optimierung des Planfräsprozesses für D3 (Gesenkstahl) mit Hilfe von RSM")
Optimierung des Planfräsprozesses für D3 (Gesenkstahl) mit Hilfe von RSM35,90 €![Optimisation du processus de fraisage de face pour D3 (acier pour moules) à l'aide de la méthode des surfaces de réponse (RSM)]( "Optimisation du processus de fraisage de face pour D3 (acier pour moules) à l'aide de la méthode des surfaces de réponse (RSM)")
Optimisation du processus de fraisage de face pour D3 (acier pour moules) à l'aide de la méthode des surfaces de réponse (RSM)23,99 €![Optimization of Process Parameter Using Taguchi's DOE Method in EDM]( "Optimization of Process Parameter Using Taguchi's DOE Method in EDM")
Optimization of Process Parameter Using Taguchi's DOE Method in EDM26,99 €![Determination of Optimal Cutting Conditions for Face Milling Operation]( "Determination of Optimal Cutting Conditions for Face Milling Operation")
Determination of Optimal Cutting Conditions for Face Milling Operation32,99 €![Surface roughness prediction of aluminium 6063 in CNC turning by RSM]( "Surface roughness prediction of aluminium 6063 in CNC turning by RSM")
Surface roughness prediction of aluminium 6063 in CNC turning by RSM32,99 €![Model Optimization of cutting conditions of CNC face-milling operation]( "Model Optimization of cutting conditions of CNC face-milling operation")
Model Optimization of cutting conditions of CNC face-milling operation29,99 €
In present study an effort has been made to optimize the CNC milling parameters for D3 material using Response Surface Method (RSM) to maximize material removal rate (MRR) and minimize surface Roughness. As Speed (rpm), Feed (mm/min) and depth of cut (mm) are the main milling parameters to optimize includes operator skill, Tool used, work material, machining conditions, coolant used etc. as noise factors. Therefore considered parameters to optimize in present study are speed, feed and depth of cut. Surface Roughness (Ra) and material removal rate (Ra) are the considered responses. Machining has been done on kitumura 1992 model series CNC vertical milling machine with 4 flute carbide tool on the RSM matrix of input parameters. Further material removal rate (MRR) and surface roughness (Ra) are measured. Then analysis work has been done using regression test. After that we got optimized parameters for CNC milling to get maximum MRR and Minimum Ra. The optimum values of machining parameters - cutting speed, feed and depth of cut were determined as 2210.07 rpm, 850 mm/min and 0.237430 mm respectively.