Tracht, KirstenKirstenTrachtOnken, Ann-KathrinAnn-KathrinOnkenGralla, PhilPhilGrallaEmad, Joel HajiJoel HajiEmadKipry, NiklasNiklasKipryMaaß, PeterPeterMaaß2024-08-052024-08-052018-07-100007-8506https://media.suub.uni-bremen.de/handle/elib/816310.26092/elib/3197In micro production, small tolerances, as well as size effects increase the requirement for a fast, precise, and reliable methodology that enhances the output of assemblies. In contrast to conventional approaches, a widening of the tolerance field enables an overall improvement of the output of a process chain while assuring functionality of parts. Therefore, the consideration of trends for building sections is essential for increasing the outcome by identifying sections that can be matched. This paper presents the Linked Parts Clustering Algorithm for the identification of trend-specific clusters in linked parts and demonstrates the area of application.enCC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives)https://creativecommons.org/licenses/by-nc-nd/4.0/AssemblyMicro formingClustering600Artikel/Aufsatzurn:nbn:de:gbv:46-elib81633