Thermal effects of magnetic field application during machining of C38 steel: Taguchi and regression modeling

Abstract Excessive heat generation during machining processes such as turning leads to dimensional inaccuracies, accelerated tool wear, and degradation of workpiece material properties. This study investigates the influence of cutting parameters specifically cutting speed and magnetic field intensity on the tool workpiece interface temperature during turning using a carbide insert. An L8 orthogonal array based on the Taguchi method was employed, and the experimental results were analyzed using ANOVA and quadratic regression models to identify the most influential parameters. The results reveal that magnetic field intensity is the dominant factor, accounting for 97.84% of the total temperature variation, while cutting speed has a comparatively minor effect. Optimization using the Taguchi approach identified a cutting speed of 82 m.min- 1 and an intensity of 28.5 KA.m- 1 as the optimal conditions for maximizing interface temperature. These findings demonstrate that controlling magnetic field intensity is an effective strategy for wear reduction.