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Model-based analysis, control and dosing of electroplating electrolytes

 
: Leiden, Alexander; Kölle, Stefan; Thiede, Sebastian; Schmid, Klaus; Metzner, Martin; Herrmann, Christoph

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The International Journal of Advanced Manufacturing Technology 111 (2020), Nr.5-6, S.1751-1766
ISSN: 0268-3768
ISSN: 1433-3015
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IST ()
electroplating; electrolyte control; electrolyte dosing; cyber-physical production systems; simulation

Abstract
Controlling and dosing electrolytes is a key challenge in the operation of electroplating process chains. Electrolyte components are continuously degraded and dragged out during the production process. This process is influenced by a variety of internal and external factors such as process parameters, the electrolyte itself, anodes, the substrates and the production environment. The exact analytical measurement of the electrolyte composition requires extensive analytical equipment and typically cannot be completely realized within an industrial plating company. Therefore, this paper presents a model-based approach, integrated in a cyber-physical production system, for controlling and dosing electrolytes. A mathematical resource flow model is the basis for a dynamic agent-based simulation. This model uses available data from the manufacturing execution system and enterprise resource planning system to model the current composition of the electrolyte. The approach is successfully validated for two different electrolyte substances at an industrial acid zinc–nickel barrel plating process chain for automotive parts.

: http://publica.fraunhofer.de/dokumente/N-605918.html