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Development of a Wear Model of a Manufacturing System Based on External Smart Production Data on the Example of a Spring Coiling Machine

: Stürmlinger, Tobias; Haar, Christoph; Pandtle, Julian; Niemeyer, Volker

Postprint urn:nbn:de:0011-n-5101446 (991 KByte PDF)
MD5 Fingerprint: cf1fa3336352ba29a5f9eafb07b2f822
Created on: 11.10.2018

Procedia CIRP 72 (2018), pp.232-236
ISSN: 2212-8271
Conference on Manufacturing Systems (CMS) <51, 2018, Stockholm>
Conference Paper, Journal Article, Electronic Publication
Fraunhofer IPA ()
Industrie 4.0; Datenaustausch; Fertigungssystem; Formenbau; Verschleiß

Industry 4.0 is mostly used to reduce production waste, lead times and costs and to increase flexibility. In this paper, the authors present an approach how to use Industry 4.0 data to support the development of a new generation of a manufacturing system based on production and sensor data acquired at an external, producing company. A wear model of forming tools is developed to support finding profiles for the next machine generation. In particular the production system developer can identify the customers load cases for the dimensioning of their next generation tools. Furthermore, predictive maintenance is supported by the acquired data.