Abstract
Nickel aluminum bronze (NAB) alloy presents superior properties such as high strength and excellent wear resistance. Usually, this alloy undergoes a series of machining processes during its manufacturing. In this study, Nickel aluminum bronze, reinforced with different percentage of cubic boron nitride (CBN) particles, was prepared by powder metallurgy route (PM). L16 orthogonal array was used to identify the effect of main turning parameters (viz. cutting velocity, feed rate and depth of cut) on the machining performance characteristics i.e., main cutting force, surface roughness, material removal rate and power consumption during machining NAB matrix composite. Experimental results have shown a significant influence of feed rate on main cutting force and surface roughness, while cutting velocity was the most effective factor on material removal rate and power consumption. An optimization for machining parameters using genetic algorithm was employed and the machining performance improved efficiently through this approach.
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