MODELLING SURFACE ROUGHNESS IN THE FUNCTION OF TORQUE WHEN DRILLING

Given the application of a multiple regression and artificial neural networks (ANNs), this paper describes development of models for predicting surface roughness, linking an arithmetic mean deviation of a surface roughness to a torque as an input variable, in the process of drilling enhancement steel EN 42CrMo4, thermally treated to the hardness le

The methanol-to-olefins (MTO) process is a key catalytic route for light olefin production, yet challenges related to catalyst deactivation and coke formation persist.In this study, we investigate the catalytic performance of SAPO-34 (SP) and a modified SAPO-34 catalyst incorporating a mixed metal oxide of indium oxide and cerium oxide (SPM) to enh