Trend-specific clustering for micro mass production of linked parts

被引:0
作者
Tracht, Kirsten [1 ]
Onken, Ann-Kathrin [1 ]
Gralla, Phil [2 ]
Emad, Joel Haji [1 ]
Kipry, Niklas [1 ]
Maass, Peter [2 ]
机构
[1] Univ Bremen, Bremen Inst Mech Engn, Badgasteiner Str 1, D-28359 Bremen, Germany
[2] Univ Bremen, Ctr Ind Math ZeTeM, Bibliothekstr 5, D-28359 Bremen, Germany
关键词
Assembly; Micro forming; Clustering; OPTIMIZATION; TOLERANCE;
D O I
10.1016/j.cirp.2018.04.017
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In 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. (C) 2018 CIRP. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:9 / 12
页数:4
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