scholarly journals Application of Response Surface Methodology Coupled with Genetic Algorithm in the Optimization of Cutting Conditions for Surface Roughness in End-Milling of Inconel 718 Using Coated WC-Co Inserts

2007 ◽  
Vol 2007.4 (0) ◽  
pp. 8A115
Author(s):  
M. H. ISHTIYAQ ◽  
A.K.M. Nurul ◽  
AMIN, A.N.M. KARIM ◽  
Turnad L.G. ◽  
M. Anayet U PATWARI
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Inconel 718 ◽  
End Milling ◽  
Cutting Conditions

Parameter Optimization of Ball End Milling Process on Inconel 718 Using RSM and TLBO Algorithm

2015 ◽  
Vol 15 (3) ◽  
pp. 293-300 ◽  
Author(s):  
Nandkumar N. Bhopale ◽  
Nilesh Nikam ◽  
Raju S. Pawade
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Surface Integrity ◽  
Inconel 718 ◽  
Tool Path ◽  
End Milling ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Ball End Milling

AbstractThis paper presents the application of Response Surface Methodology (RSM) coupled with Teaching Learning Based Optimization Technique (TLBO) for optimizing surface integrity of thin cantilever type Inconel 718 workpiece in ball end milling. The machining and tool related parameters like spindle speed, milling feed, axial depth of cut and tool path orientation are optimized with considerations of multiple response like deflection, surface roughness, and micro hardness of plate. Mathematical relationship between process parameters and deflection, surface roughness and microhardness are found out by using response surface methodology. It is observed that after optimizing the process that at the spindle speed of 2,000 rpm, feed 0.05 mm/tooth/rev, plate thickness of 5.5 mm and 15° workpiece inclination with horizontal tool path gives favorable surface integrity.

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