MECHANISM RESEARCH AND SURFACE QUALITY OPTIMIZATION OF ROBOTIC BELT GRINDING INCONEL 718

Abstract

In this thesis, based on Plank’s law, a modified fourth-power law model (MFM) is established to achieve fast and accurate calculation of the dynamic emissivity and grinding temperature of the ground workpiece. On this basis, combined with finite element model, the dynamic temperature distribution of the grinding surface is obtained. Then, the variation law of the force-thermal characteristics of grinding is studied, elucidating the key grinding mechanisms such as material removal, material rebound, abrasive-workpiece interaction, heat production and heat accumulation. Subsequently, through material characterization and molecular dynamics (MD) simulation, combined with grinding mechanisms, the gradient characteristics evolution law and strengthening mechanisms of the grinding strengthened layer are revealed. Finally, isotropic etching polishing (IEP) is utilized to simultaneously retain the strengthened layer and optimize the surface quality, thereby obtaining a high-quality grinding surface layer.