Robust Sensor Design and Optimization

The robustness and quality of products in general, und sensors specifically, may suffer significantly from variation of the following quantities:

• Materialproperties,
• Fabricationprocess (e.g. 3D-printing and inkjet-printing),
• Variations in geometry,
• Environmental influences (temperature, moist, etc.)
  

To analyse consquences of such variations, and to be capable of predicting them through appropriate models, allows to optimally adjust controllable parameters, as well as to minimize unwanted influences such as environmental conditions or uncertainties originating from the production process. Computer-aided robust design, employing Finite Element Method (FEM) simulations, based on specifically developed DoEs, and model-building, targeted at an optimal analysis and description of design-parameterspaces and simulation results, are thus main focus areas for research and development with, at the same time, high relevance for the industry.