Interdisciplinary DFG project „Method and model development for the simulation of layer thickness distributions on complex shaped components during galvanic layer deposition“
For over a year now, a project at the WOT professorship has been working on using numerical process simulation to minimise both costs and experimental expenses in the optimisation of real galvanic processes. The project is funded by the German Research Foundation (DFG) (project number 524933028).
The fulfilment of the increasing requirements in electroplating technology to carry out layer depositions with high quality and homogeneity, even on complexly shaped goods, therefore usually requires complex electrolyte and process development in addition to an in-depth understanding of the process. Numerical simulations are increasingly being used to reduce these costs. According to the state of the art, however, it is only possible to simulate galvanic depositions by making major simplifications or by using assumed but unproven boundary conditions. However, modern developments in mathematical modelling, information technology and mathematical algorithms as well as increasingly powerful hardware make it possible to reduce the number of such model assumptions, which limit the accuracy, more and more.
The project, which is located in the Department of Chemical and Galvanic Surface Technology, centres around the integration of complexation and the expansion of the formulation of electrode reactions in the models of galvanic depositions. In addition to the mathematical modelling of electrodeposits, the inverse calculation of the model parameters from specially adapted experiments such as spatially resolved titration in a flow cell to determine the electrode reactions is an essential part of the project. The aim of the project is to expand the existing tools in simulation and parameter determination in order to be able to model the layer formation process more precisely than before.
Figure: Construction approach of a flow cell for spatially resolved titration for inverse calculation of the diffusion coefficients
5.9.2024 – Projects of the professorship ( stephan-daniel.schwoebel@mb… )