Untersuchung des Potenzials des Datenformats Quality Information Framework für automatisierte Toleranzanalysen

Masterthesis

In industry, there are numerous proprietary data formats and different CAD systems that make it difficult to exchange information. The standardized and neutral data format Quality Information Framework (QIF) offers the possibility of storing information from different phases of product development and linking it together. This has the potential to store ideal and real geometries in a single format, break them down into features and compare them with each other in order to investigate part deviations.

The objective of this thesis is to investigate the potential of QIF for automated tolerance analysis and to compare it with other neutral data formats such as JT or STEP. The steps required to achieve this goal include first familiarizing oneself with the topics of neutral exchange formats for CAD models and QIF. Subsequently, a methodology will be developed and implemented that stores both ideal and real (point cloud-based) geometries in QIF and compares them with each other. Finally, the method will be validated using real measurement data generated with a 3D scanner.