A Displacement Field Perception Method for Component Digital Twin in Aircraft Assembly.

Area of Science:

• Precision Manufacturing
• Mechanical Engineering
• Data Science

Background:

• Full-field displacement perception is vital for precision manufacturing, particularly in aviation.
• Digital twins of core components require accurate real-time monitoring.
• Existing methods may lack the required precision and speed for complex assemblies.

Purpose of the Study:

• To develop a real-time full-field displacement perception method.
• To integrate online multipoint displacement monitoring with matrix completion theory.
• To enhance the precision and efficiency of core component analysis in manufacturing.

Main Methods:

• Established a conceptual model for full-field displacement perception using observed multipoint data.
• Divided components into discrete points to establish relationships between observed and unobserved displacements.
• Employed matrix completion principles and simulation big data to solve the optimization problem.

Main Results:

• Achieved a maximum displacement error of less than 0.094 mm.
• Reported a median displacement error of less than 0.054 mm.
• Attained an average processing time frame of less than 0.48 seconds.

Conclusions:

• The proposed method offers high precision and efficiency for real-time full-field displacement perception.
• This technique is suitable for the demanding requirements of large aircraft assembly.
• The integration of multipoint monitoring and matrix completion shows significant promise for advanced manufacturing.