ABSTRACT
Machining of difficult to cut materials at advanced range of machining variable is the requirement of industry 4.0 for achieving sustainable machining goals taking into consideration energy, ecology and economy. However, due to lack of information on the machining data the material is regarded as difficult to cut. Therefore, to enhance the machining performance of Hastelloy C-276 the experimental investigations have been conducted at different levels of input parameters using CNMG120408 cutting inserts under various cooling conditions. The RSM-based CCD approach has been used to to generate the design of experiment along with ANOVA analysis for finding the influence of input factors on the output signal. Investigations results exhibited that the less cutting temperature, better surface quality and lower chip reduction coefficient have been reported in vegetable oil MQL machining. Research pointed out that the S.R. is influenced by cutting speed, doc, cooling environments and feed rate; likewise the impact has been reported for cutting temperature, while the CRC is less dominated by doc compared to other parameter. The percentage errors evaluated for S.R, temperature and CRC have been reported as 0.53%, −1.52% and 1.81% indicates the significance of developed model.