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.

在电镀工艺链的操作中，控制和定量电解液是一个关键的挑战。在生产过程中，电解质成分会不断降解并被拖出。该过程受多种内部和外部因素的影响，例如过程参数，电解质本身，阳极，基材和生产环境。电解质成分的精确分析测量需要大量的分析设备，并且通常不能在工业电镀公司内完全实现。因此，本文提出了一种基于模型的方法，该方法已集成到电子物理生产系统中，用于控制和计量电解液。数学资源流模型是基于动态主体的仿真的基础。该模型使用来自制造执行系统和企业资源计划系统的可用数据来对电解质的当前组成进行建模。该方法已在汽车零件的工业酸性锌-镍滚镀工艺链中成功针对两种不同的电解质物质进行了验证。