In boring operation, the increase in length of the boring bar tool makesan instability ofthe metal removing process; this phenomenon leads to the reduction of tool life, increase in noise and poor quality of surface finish. To overcome these criteria, a radially arranged magneto rheological fluid damper assisted tool post is used to conduct the boring operation on a conventional lathe machine. Vibration signals were monitored with the aid of piezoelectric accelerometer (vibration sensor), which is recorded in online mode & evaluated with the use of DAQ card. MR fluid damper is modeled based on the Euler-Bernoulli’s beam model. Design of experiments were conducted based on Taguchi’s (L18) orthogonal array with the three level parameters(spindle speed, feed rate and depth of cut).The combination of optimum vibration parameters were selected with the use of response surface methodology (RSM) technique to obtain the optimum output.Performingthe machining operation with of optimum vibration parameters, reducesthe machining time and increase the productivity. Results obtained from the regression analysis shows that the regenerative chatter vibration is reduced effectively with the help of radial damper arrangement. Response surface methodology (RSM) and Artificial neural network (ANN) is applied to validate the results obtained during experimentation and to predict the behaviour of the system under any condition within the operating range. It is apparent from the analysis that the feed rate has a significant contribution for both the surface roughness and vibrational acceleration.