Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

Filters

2
1
Reset filters

Settings
Now showing 1 - 2 of 2
  • Publication
    Methodology for a reverse engineering process chain with focus on customized segmentation and iterative closest point algorithms
    ( 2022)
    Mönchinger, Stephan
    ;
    Schröder, Robert
    ;
    Stark, Rainer
    One-off construction is characterized by a multiplicity of manual manufacturing processes whereby it is based on consistent use of digital models. Since the actual state of construction does not match the digital models without manually updating them, the authors propose a method to automatically detect deviations and reposition the model data according to reality. The first essential method is based on the ""Segmentation of Unorganized Points and Recognition of Simple Algebraic Surfaces"" presented by Vanco et al.. The second method is the customization of the iterative closest point (ICP) algorithm. The authors present the overall structure of the implemented software, based on open source and relate it to the general reverse engineering (RE) framework by Buonamici et al.. A highlight will be given on: the general architecture of the software prototype; a customized segmentation and clustering of unorganized points and recognition of simple algebraic surfaces; the deviation analysis with a customized iterative closest point (CICP) algorithm Especially in the field of one-off construction, characterized by small and medium companies, automated assessment of 3D scan data during the design process is still in its infancy. By using an open source environment progress for consistent use of digital models could be accelerated.
  • Publication
    Automated 3D scan based CAD-repositioning for design and verification in one-off construction
    ( 2021)
    Mönchinger, Stephan
    ;
    Schröder, Robert
    ;
    Stark, Rainer
    The presented engineering discipline one-off construction is characterized by a multiplicity of manual processes. As almost all modern product developments, the manufacture is based on the creation and consistent use of digital models. Quality of underlying data can vary greatly and it is not certain that digital models match the actual state of construction. This can result in the need for rework after production or installation. Especially challenging in the area of premium products, for which high quality, scarce materials are used and tight schedules are defined. If physical products are reworked, the corresponding digital models must be manually maintained. At present, attempts are being made to counteract these late adjustments by means of physical mock-ups or visual inspection of 3D scan data. Such scan data is used for automated adaptation of underlying digital models to the actual state of the physical construction. Existing Point Cloud Library functionalities were adapted and further algorithms were designed. The developed software backend was integrated into the existing software architecture. During the software development, great care was taken to ensure that the backend is based on open source content. The results show significant improvements of the data basis for the subsequent engineering activities. This will lead to a significant reduction of manual effort and rework, ensuring development cycles and even shorten delivery times. It reduces costs in the product creation process and sustainably strengthens confidence in digital models used. It has been shown that automation of design processes can have productivity-enhancing effects in one-off construction.