D5.1 - Uncertainty Modeling of a Cyber-Physical Finite Element Sensor Network for Surface Measurements
- Event
- 22. GMA/ITG-Fachtagung Sensoren und Messsysteme 2024
2024-06-11 - 2024-06-12
Nürnberg - Band
- Vorträge
- Chapter
- D5 - Modellierung
- Author(s)
- L. Bretthauer, R. Heynicke, G. Scholl - Helmut-Schmidt-Universität -,Universität der Bundeswehr,Hamburg
- Pages
- 380 - 387
- DOI
- 10.5162/sensoren2024/D5.1
- ISBN
- 978-3-910600-01-0
- Price
- free
Abstract
In modern manufacturing processes it is mandatory that the components to be manufactured are produced within well-defined manufacturing tolerances. If only small production tolerances are permitted this often means that all production steps have to be monitored, which is a challenging task, e.g. in the production of large-scale components, where it is often not possible to determine the exact shape or surface stress in real-time during forming or deformation processes. Here, a standard solution is the use of laser trackers, typically requiring a human operator or a robot during the measurement process. Also, measurement time increases drastically with the size of the component. In this paper we suggest an approach, where we measure the shape of an object with a finite grid of wireless sensor probes in realtime during the fabrication process. The sensor network measures the surface at discrete points in a similar way classical finite elements (FEM) discretize a volume for modeling the physical behavior. Hence, this measurement system is called a Cyber-Physical Finite-Element-Network (CPFEN). In this paper we present the network structure and the evaluation algorithms that are needed to achieve precise measurements. Also, we model the uncertainty of each local connection and the propagation of uncertainties throughout the network. The “Guide to the expression of uncertainty in measurement“ (GUM) [1] is used for the uncertainty modeling. Thus, it is possible to make a statement about the reliability and accuracy of the complete network.