Statistical modelling of depth milling in Ti-6AL4V using abrasive water jet machining
Published online on January 05, 2024
Abstract
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Ahead of Print.
Multi-objective grey relational analysis optimization technique and multiple regression analysis were employed to determine the optimum values for depth of cut, surface roughness (Ra), and kerf at entry and exit (θ1andθ2), for abrasive waterjet machining of ...
Multi-objective grey relational analysis optimization technique and multiple regression analysis were employed to determine the optimum values for depth of cut, surface roughness (Ra), and kerf at entry and exit (θ1andθ2), for abrasive waterjet machining of ...