study on effective parameters on machining power and presenting the predictive models in machining of en-ac 48000 aluminum alloy

in this research using statistical analysis the effect of machining parameters such as cutting velocity, feed rate, and tool type on machining power (p m ) in machining process of en-ac 48000 aluminum alloy has been studied. a taguchi l 27 standard array has been utilized as the most economical array to evaluate the factors and their interaction. en-ac 48000 alloy is frequently used in automotive and aerospace industry. machining of this alloy is of vital importance because of generating the built-up edge and tool wear. machining power is an essential factor affecting tool life, dimensional accuracy, and machining efficiency. three types of cutting tools specialized for machining the aluminum alloys have been used for machining experiments. the effect of factors and their interactions have been studied; moreover, the optimum levels of factors have been offered. finally, regression models to predict the machining power and related confirmation tests have been represented to evaluate the adequacy of equations.