Title | ||
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Part Variation Modeling In Multi-Stage Production Systems For Zero-Defect Manufacturing |
Abstract | ||
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Multi-stage production systems concede for low error and failure margins within every single machining and assembly step to not degrade product quality. Especially during multi-stage production of rotating parts, minor defects during a single step can corrupt a workpiece beyond repair. Since multi-stage production systems are complex, inter-connected chains of machining steps, a global approach to handling and compensating error emergence and propagation is for reaching Zero-Defect Manufacturing indispensable. We introduce Part Variation Modeling within a knowledge capturing platform to monitor centrally gathered metrological data for deviations. Further, a parametric model is presented allowing for description of rotating parts and enabling identification of deviations at every stage. Based on our inter-stage correlation analysis technique, the parametric model enables description of Part Variation Modes of a piece given current machine states and historic deviation likelihood as will be presented. |
Year | DOI | Venue |
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2019 | 10.1109/ICIT.2019.8754964 | 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT) |
Keywords | Field | DocType |
Production Systems, Intelligent Manufacturing, Data Analysis | Parametric model,Metrology,Control engineering,Machining,Engineering,Zero Defects,Correlation analysis | Conference |
ISSN | Citations | PageRank |
2643-2978 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Florian Eger | 1 | 0 | 0.68 |
Philipp Tempel | 2 | 0 | 0.68 |
Maria Chiara Magnanini | 3 | 0 | 0.34 |
Colin Reiff | 4 | 0 | 0.68 |
Marcello Colledani | 5 | 55 | 7.89 |
Alexander Verl | 6 | 167 | 50.15 |