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EN
Increase of automation and autonomy of production is the latest trend incorporated into Industry 4.0 objectives. Production autonomy is very desirable in the field of damaged parts replacement. To fulfill this goal numerous reverse engineering systems have been developed that support geometry recognition from the 3D scan data. This study is focused on converting non-parametric geometry representation of shaft-type elements into a CAD model with a rebuilt feature tree. Algorithms are based on the analysis of parallel cross-sections. The proposed system is also capable of identification of additional geometric features typical for 2.5 axes milling such as pockets, islands and outer walls. The proposed algorithms are optimized to increase efficiency of the process. Initial identification parameters are selected with respect to defined criteria, e.g., identification accuracy, computing power and scanning accuracy. Described algorithms can be implemented in reverse engineering systems.
EN
The physicochemical properties of polyether ether ketone (PEEK) allow to use this material for prosthetic restorations applied in implant prosthetics. So far, such attempts have been made in the technology of milling rough material solids of this polymer, but the surface quality was unsatisfactory. Therefore, the production of these materials by additive manufacturing techniques was proposed and an attempt was made to shape their surface using a laser. The possibilities of the method are determined in the paper and preliminary works related to the product surface shaping are presented. The process of making individual prosthetic restorations from the PEEK material by the additive method together with the technology of laser modification of the geometric structure of the material surface for applications in implant prosthetic treatment of patients is innovative and has not been used so far.
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