Marco Arndt

• Master of Science
• Academic Staff at University of Stuttgart

For the investigation of influence of various parameters on properties and outputs of components or systems, Design of Experiments (DOE) offers the most efficient approach to create a comprehensive empirical insight into product performance. However, especially if product lifetime is treated as the investigation objective, the main focus of attenti...

Orthogonality in DoE favors non-correlated effects and minimizes their confidence intervals. However, accidental or deliberate deviation from orthogonality is often possible on the one hand, and sometimes even desirable within reliability demonstration testing. Based on an investigation of orthogonality deviations (errors in factor levels) with res...

In the context of design of experiments (DoE), for many cases the quantitative dependency of a nonlinear target parameter on a few factors is to be determined for the related parameter prediction. For these cases, from the group of response surface designs, test plans are used following the structure of Central-Composite Design (CCD). Their leverag...

The design of screw connections is subject to standardized calculation recommendations based mainly on empirically determined parameters with defined material characteristics. Here, a probabilistic extension of this design methodology for strength design against static load is proposed, whereby probability density functions of characteristic compon...