Method for Automated Structuring of Product Data and its Applications

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• 作者：Sebastian Adolphy^a ; ^{sebastian.adolphy@ipk.fraunhofer.de" class="auth_mail" title="E-mail the corresponding author} ; Hendrik Grosser^a ; Lucas Kirsch^a ; Rainer Stark^a ; ^b
• 关键词：Product structure ; graph theory ; product data management ; reverse engineering ; 3D scanning
• 刊名：Procedia CIRP
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：38
• 期：Complete
• 页码：153-158
• 全文大小：720 K

文摘

Product structures represent the data backbone for through-life management of complex systems. Product Lifecycle Management (PLM) Systems are used to maintain product structures and track product changes. However, in maintenance, repair and overhaul (MRO) product composition often is unknown when MRO service providers are not the original manufacturers. Thus, MRO processes start with an exhaustive product diagnosis to identify elements to be maintained or replaced. Existing 3D scanning and data post processing methods have to be improved to acquire structured product data. This paper presents a method for automated derivation of product structures from 3D assembly models.