Preliminary Insights on Using Image Entropy to Analyze the Dynamics, Self-Organization, and Stability of Laser Remelting

Surface polishing by laser remelting (LRM) is a recently developed advanced manufacturing technology used for surface finishing. This technique involves melting and redistributing a thin layer of molten material to smooth the surfaces of functional parts, improving their surface quality without degrading their overall geometrical form. This paper novelly explores the applicability of image entropy as a measure of chaos and information for analyzing the dynamics, self-organization, and stability of the LRM process. The experimental investigation focused on analyzing the evolution of image entropy along a single LRM track and an entire LRM area. The findings of the study show that dynamic complexity and chaoticity effectively describe the state of LRM self-organization and its dependence on the initial process topography. These preliminary insights provide a roadmap for the future development of closed-loop control systems and thermodynamic modeling of chaotic processes during LRM.