Optimization and effect of controlling parameters on AJM using Taguchi technique

In this study, the effect of the machining parameters like spindle speed, feed, depth of cut and nose radius on material removal rate and surface roughness

The mechanical properties were measured, and the microstructural parameters were analyzed to gain a better understanding of the controlling and limiting factors of

The surface quality depends on process parameters (lead angle, tilt angle, feed per tooth, cut- ting speed, radial depth of cut, cutting depth) and the choice of the

Depth of cut among these factors found more important whereas the grinding speed, grain size, cutting fluid concentration and number of passes are considered

(2007) carried out the optimization of a finish hard turning process for the machining of D2 steel with ceramic tools using neural network models to predict the surface roughness

They have investigated the effect of factors (water pressure, abrasive flow rate, orifice diameter, focusing tube diameter and standoff distance) on performances

In the present paper an attempt has been made to study the effect of input parameters such as cutting speed, feed rate and depth of cut on Surface roughness, Tool wear,

In this paper a practical method of optimizing cutting parameters for electrical discharge machining under the minimum total machining time based on Taguchi method and