CluSys is a simulation platform that is developed by LuK GmbH & Co. KG to support product development engineers. It integrates different simulation calculation kernels and provides a collaborative environment for tool-independent chain simulation processes. The data between simulation modules in chain simulations is exchanged by defining intercommunications between individual parameters manually. This thesis provides a concept to automate the data exchange process between the parameters of different simulation models based on their physical meaning. Different approaches implemented in contemporary simulation environments are discussed, analyzed and a customized solution compatible with CluSys based on abstract interface approach is developed. This concept is implemented using an SQL database creating a parameter dictionary and an automatic intercommunication interface that uses the dictionary to recognize the parameters and define data exchange processes between them automatically. The implemented solution makes the data exchange between parameters of different simulation models independent of their labels, module names or units.

CluSys is a simulation platform that is developed by LuK GmbH & Co. KG to support product development engineers. It integrates different simulation calculation kernels and provides a collaborative environment for tool-independent chain simulation processes. The data between simulation modules in chain simulations is exchanged by defining intercommunications between individual parameters manually. This thesis provides a concept to automate the data exchange process between the parameters of different simulation models based on their physical meaning. Different approaches implemented in contemporary simulation environments are discussed, analyzed and a customized solution compatible with CluSys based on abstract interface approach is developed. This concept is implemented using an SQL database creating a parameter dictionary and an automatic intercommunication interface that uses the dictionary to recognize the parameters and define data exchange processes between them automatically. The implemented solution makes the data exchange between parameters of different simulation models independent of their labels, module names or units.