The complexity of the assembly line due to the number of parts, stations and its high production rate, places a high demand on the tooling equipment. Tooling failure diagnosis based on in-line measurements is an important issue in the dimensional control, and various efforts have been made in the past. However, there were no models available to describe the overall body assembly processes for the purposes of process monitoring and diagnosis in manufacturing. In this paper, a state space modeling approach is developed for the dimensional control of sheet metal assembly processes. In this study, a conventional heuristic 3-2-1 scheme is assumed for the sheet metal assembly. Several key concepts, such as tooling locating error, part accumulative error, and re-orientation error, are defined. The inherent relationships among these error components are developed. Those relationships finally lead to a state space model which describes the variation propagation throughout the assembly process. An observation equation is also developed to represent the relationship between the observation vector (the in-line Optical Coordinate Measuring Machine OCMM measurement information) and the state vector (the part accumulative error). Potential usage of the developed model is discussed in the paper.
State space modeling of sheet metal assembly for dimensional control
Zustandsvariablenmodell der Blechbauteilmontage zur Maßkontrolle
Transactions of the ASME, Journal of Manufacturing Science and Engineering ; 121 , 4 ; 756-762
1999
7 Seiten, 7 Bilder, 18 Quellen
Article (Journal)
English
Dimensionsprüfung , Montage , Fahrgestell , Karosserie , Spannvorrichtung , Zustandsraum , mathematisches Modell , Maßgenauigkeit , Werkstückgeometrie , Variation , theoretische Untersuchung , Platzierung , Fehleranalyse , Fehlerrechnung , Orientierung , Arretieren , Gebrauchseignung , Koordinatenmessmaschine , optischer Sensor , Messung im Einsatz , Werkzeuggeometrie , Diagnoseverfahren , Prozessüberwachung
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