Application of response surface methodology in the optimization of cutting conditions for surface roughness

By H. Öktem, Tuncay Erzurumlu, H. Kurtaran. 2005

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Optimization of tool geometry parameters for turning operations based on the response surface methodology (2011, background): “[12] Cutting Speed, feed rate, axial deep of cut, radial deep of cut, machining tolerance Aluminum (7075-T6) Response surface”
Material removal rate and electrode wear ratio study on the powder mixed electrical discharge machining of cobalt-bonded tungsten carbide (2009, methodology): “It is one of the most widely used methods to solve the optimization problem in manufacturing environments [20–22].”
Roughness modeling and optimization in CNC end milling using response surface method: effect of workpiece material variation (2009, methodology): “Oktem and co-workers [15, 16] analyzed the optimum cutting condition leading to a minimum roughness (Ra) in end milling by combining RSM with neural network and genetic algorithm for Al and plastic mold parts.”
Study on tool wear and surface roughness in machining of particulate aluminum metal matrix composite-response surface methodology approach (2010, methodology): “Oktem et al. [ 19 ] developed an effective methodology to determine the optimum cutting conditions leading to minimum surface roughness while milling of mold surfaces by coupling RSM with a developed genetic algorithm (GA).”