Volume 43 Issue 7
Jul.  2024
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PEI Haonan, ZHANG Puyu, LUO Ming. Development and Application of Digital Twin Geometric Model Framework for Metallic Sealing Rings[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(7): 1158-1167. doi: 10.13433/j.cnki.1003-8728.20240024
Citation: PEI Haonan, ZHANG Puyu, LUO Ming. Development and Application of Digital Twin Geometric Model Framework for Metallic Sealing Rings[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(7): 1158-1167. doi: 10.13433/j.cnki.1003-8728.20240024

Development and Application of Digital Twin Geometric Model Framework for Metallic Sealing Rings

doi: 10.13433/j.cnki.1003-8728.20240024
  • Received Date: 2023-10-07
  • Publish Date: 2024-07-25
  • Metallic sealing ring is widely used in aero-engine sealing systems, and its formed quality has an important impact on the aircraft service reliability. However, the thin-walled, complex irregular section and closed ring structure of sealing rings lead to the following problems: first, the formed results are heavily dependent on final destructive sampling inspection, and the actual products have not undergone complete quality inspection; second, there is no means of geometric quality inspection during the forming process, which makes it impossible to inspect defects in time, and the lack of geometric data makes the process optimization difficult. Therefore, a digital twin geometric model framework for metallic sealing rings is proposed, which includes four parts: physical space, virtual space, interaction space and services, and it can provide on-machine measurement platform calibration, section profile measurement, point cloud preprocessing, section geometric features computation, 3-D digital model construction, 3-D surface dynamic measurement, forming deviation computation and other continuous forming quality on-line inspection techniques, so as to build a digital twin geometric model that reflects the changes in the forming process and provides support for the inspection, analysis and prediction of the forming quality, as well as the acquisition of the basic data required for the subsequent process optimization and design. On this basis, an on-line inspection simulation test device and a digital twin software are developed, and their applications are introduced.
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