Surface roughness prediction of aluminium 6063 in CNC turning by RSM

ISBN-13: 9786202017527 / Angielski / Miękka / 2018 / 100 str.

Amandeep Singh Wadhwa; Harvinder Singh

Opis

The present study investigate the effects of machining parameters such as cutting speed, feed, depth of cut and nose radius on surface roughness during dry turning of aluminium 6063 using uncoated carbide insert tool. . The central composite design (CCD) has been employed for design of experiments. Based on the experimental data, the prediction regression model for surface roughness in terms of cutting speed, feed, depth of cut and nose radius have been developed using response surface methodology.Analysis of variance is used to investigate the significance of these parameters on the surface roughness. An attempt has also been made to obtain optimum machining conditions for achieving the minimum value of surface roughness. To validate regression model for surface roughness, confirmation experiments have been carried out and predicted results have been found to be in good agreement with experimental findings.

O autorze

Mr Amandeep Singh Wadhwa is currently working in UIET, Punjab University ,Chandigarh as Assistant Prof. since 2008.Mr Harvinder Singh is currently working in Punjabi University ,Patiala as Assistant Prof. since 2009.