Research on gross error detection of enhanced reference points for aircraft assembly tooling based on topological...

Area of Science:

• Aerospace Engineering
• Metrology
• Geodesy

Background:

• Gross errors in measured data from aircraft assembly fixtures compromise measurement accuracy.
• Accurate construction of measurement fields is critical for high-precision aircraft assembly.

Purpose of the Study:

• To propose a topology-based method for detecting gross errors in enhanced reference points on aircraft assembly fixtures.
• To improve the accuracy of measurement field construction and coordinate system accuracy.

Main Methods:

• Established a topological model incorporating neighborhood relationships and distance constraints.
• Analyzed relative error distribution using topological information for gross error identification.
• Conducted comparative experimental analysis before and after gross error removal.

Main Results:

• Gross error points were identified and removed, reducing overall registration error.
• The proposed method limited registration error fluctuations and improved coordinate system construction accuracy.
• Experimental results demonstrated enhanced stability and reduced registration errors.

Conclusions:

• The topology-based method effectively detects and removes gross errors in reference point data.
• This approach significantly improves the accuracy of coordinate system construction in aircraft assembly.
• The method provides reliable technical support for high-precision aircraft manufacturing and engineering applications.