This experimental research on cryogenic turning process involves the modelling and optimization of the process parameters affecting the machining performance and value oriented sustainable manufacturing. In the present work, the machining parameters namely the cutting speed, feed rate, depth of cut and rake angle are optimized for minimum surface roughness on AISI 4340 steel. The experimentation was planned using Taguchi's L9 theory. An orthogonal array (L9), the signal-to-noise (S/N) ratio, and the Qualitek-4 were employed to the study the surface roughness in the turning of AISI 4340 steel under cryogenic condition. It was observed that cutting speed and depth of cut was the most influential factors on the surface roughness. To validate the study, confirmation experiment has been carried out at optimum set of parameters and predicted results have been found to be in good agreement with experimental findings. The results have revealed that cryogenic machining has yielded better surface finish.
