A Genetic Programming Approach to Model Detailed Surface Integrity of Additive Manufacturing Parts

摘要

Surface integrity is a crucial issue that needs to be improved in the additive manufactured products. Precise evaluation of surface integrity demands a detailed understanding of the surface behavior. Optical surface and roughness measurement sensors only provide information of the discrete points measured from the manufactured surface without the details of the surface topography. Throughout this paper, a methodology is developed to approximate the surface behavior. This work employs a Genetic Programming approach to assess the relation between the position of the measured points and their corresponding roughness. The resulting function would assist to reconstruct the surface three dimensional topography. To validate the process, actual case study on an additive manufactured part is examined for the surface integrity.