Identification of variation sources for high precision fabrication in a digital twin context
Paper in proceedings, 2020

The aerospace industry is increasing its focus on fabrication in manufacturing, foregoing large castings to instead assemble and join smaller parts into final products. This increases the total amount of geometrical variation introduced during the production process, since the unique variation from each individual part can add to a propagating effect putting the final assembled product outside of tolerance limits. Geometry assurance and variation simulation has traditionally been applied as a part of the design process to develop robust manufacturing concepts that are as insensitive as possible to variation. A concept for geometry assurance has been proposed where variation simulation is conducted for each individual assembly using real measurements from incoming parts, making it possible to make adaptive adjustments to production parameters to optimize results. It is however not feasible to measure and simulate every aspect of the process. This paper provides a summary of relevant sources of geometrical variation for a high precision fabrication process, based on input from a fabrication process in the aerospace industry. Variation sources are analyzed and discussed from an industrial perspective, putting them in the context of an actual fabrication process as well as in the context of digital twins for geometry assurance.

Simulation

Error compensation

Digital twins

Geometry assurance

Author

Hugo Hultman

GKN Aerospace Sweden

Stefan Cedergren

GKN Aerospace Sweden

Rikard Söderberg

Chalmers, Industrial and Materials Science

Kristina Wärmefjord

Chalmers, Industrial and Materials Science, Product Development

ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

Vol. 2B-2020

ASME 2020 International Mechanical Engineering Congress and Exposition, IMECE 2020
Virtual, Online, ,

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Reliability and Maintenance

Software Engineering

DOI

10.1115/IMECE2020-23358

More information

Latest update

3/12/2021