3D Digital Replication for Structural Deformation Measurement
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Solution Overview
Problem
Existing methods for measuring structural deformation in deformable bodies often require fixed digital coordinates to the object or space, limiting their accuracy and applicability, especially in complex structures like gas turbine blades, and fail to account for three-dimensional deformations effectively.
Innovation Solution
A method and system utilizing digital replication to measure structural deformation by independently recording digital surfaces in different states, employing three-dimensional scanning to generate and compare position vectors, allowing for tri-axial strain component determination in a volumetric digital coordinate system, and using redundant measurements for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional fixed coordinate systems and two-dimensional approaches are used for measuring structural deformation, then the measurement system is simple and easy to implement, but the measurement precision and accuracy of three-dimensional deformations are insufficient
Solution Approach 1:
The patent transitions from two-dimensional measurement approaches to three-dimensional digital replication and analysis. By capturing spatial coordinates (x, y, z) of surface features in digital replicas and calculating three-dimensional position vectors, the system accurately measures three-dimensional deformations and creep, resolving the limitation of conventional 2D methods
Solution Approach 2:
The patent creates digital replicas (virtual copies) of the object surface at different time points. These digital replicas contain precise spatial information about surface features, allowing comparison of position vectors between replicas to measure deformation without requiring complex physical measurement apparatus
2Reliability
If fixed coordinate systems are used for deformation measurement, then the measurement approach is straightforward, but the ability to accurately capture creep over time is limited
Solution Approach 1:
The patent performs preliminary actions by creating digital replicas at multiple time points and establishing position vectors in advance. By comparing the spatial coordinates of surface features across different digital replicas, the system can accurately detect gradual creep deformation over time, improving reliability through systematic temporal comparison
Solution Approach 2:
The patent replaces conventional mechanical measurement systems with fixed coordinate attachments with a digital replication and computational analysis system. Using 3D scanning to capture spatial coordinates and computational algorithms to calculate position vectors and deformations simplifies operation while enhancing the ability to track creep over time
3Measurement precision
If conventional optical methods with fixed coordinate systems are used, then the setup is simple, but the measurement of relative displacements in three-dimensional space is inaccurate
Solution Approach 1:
The patent employs three-dimensional digital replication instead of conventional two-dimensional optical methods. By capturing and analyzing spatial coordinates (x, y, z) of surface features in digital replicas and calculating three-dimensional position vectors, the system achieves accurate measurement of relative displacements in three-dimensional space
Solution Approach 2:
The patent creates precise digital copies of the object surface containing three-dimensional spatial information. By comparing the positions of surface features in different digital replicas through position vector analysis, the system accurately measures relative displacements without requiring complex optical hardware setups
Data Source
AI summary
A method for utilizing digital replication to measure structural deformation includes receiving a first set of digitized spatial data of a measurement volume and a target symbol comprising a plurality of surface features present on an object surface, utilizing the first set of digitized spatial data to generate a first and second digital replication of the measurement volume and the target symbol and determining spatial orientation of the target symbol utilizing positions of the plurality of surface features within a digital coordinate system corresponding to the first digital replication and subsequently establishing a first set of position vectors contained within the first digital replication, wherein endpoints of each of the position vectors are defined by the coordinate positioning of a pair of the surface features in the first digital replication, and comparing the first and second sets of position vectors to determine relative displacements within the target symbol.