Surface Stress Cloud Map via Critical Refraction Longitudinal Wave
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Solution Overview
Problem
Current surface stress detection methods in construction machinery assembly are inadequate, as they either cause irreversible damage or lack accuracy in capturing uneven stress distributions, particularly when considering geometrical and physical parameters, limiting the prediction of nonuniform stress distributions and the accuracy of product connections.
Innovation Solution
A method using critical refraction longitudinal wave detection to construct a surface stress distribution cloud map by meshing the surface, calculating transverse and longitudinal stress values, and applying the Von Mises stress formula to obtain equivalent stress values, which are then verified using strain gauges and visualized using Matlab software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional destructive testing methods (profile method, orifice method) are used for surface stress detection, then stress values can be obtained, but the structure suffers irreversible damage
Solution Approach 1:
The patent replaces destructive mechanical testing methods with ultrasonic wave-based detection. By using critical refraction longitudinal waves and measuring acoustic time differences, the system obtains stress information without mechanical contact or structural damage, substituting a non-contact acoustic field measurement system for traditional mechanical destructive testing
Solution Approach 2:
The patent introduces ultrasonic waves as an intermediary carrier to transmit stress information. The critical refraction longitudinal waves interact with the stressed structure and carry stress state information through acoustic time differences, allowing indirect stress measurement without direct mechanical intervention that would damage the structure
2Object-affected harmful factors
If existing ultrasonic critical refraction longitudinal wave detection is used, then detection is non-destructive, but only mean stress values can be obtained and uneven stress distribution cannot be accurately captured
Solution Approach 1:
The patent divides the detection surface into a mesh grid system with multiple measurement points. By segmenting the continuous surface into discrete mesh nodes and lines, the system can capture local stress variations at different positions, transforming a single mean value measurement into distributed multi-point measurement that reveals stress distribution patterns
Solution Approach 2:
The patent transitions from one-dimensional mean stress measurement to two-dimensional stress distribution mapping. By implementing mesh detection across the surface and calculating equivalent stresses at mesh nodes, the system creates a spatial cloud map that visualizes stress distribution in two dimensions, adding spatial dimensionality to the detection capability
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a more accurate and non-destructive method for detecting surface stress distributions, enabling a better understanding of structural stress states and potentially prolonging the service life of machine tools.
Implementation Method 1
acquiring a mean transverse stress on different mesh transverse lines and a mean longitudinal stress on different mesh longitudinal lines on the surface of the detected article respectively by a critical refraction longitudinal wave detection method
Implementation Method 2
detecting the transverse propagation duration of critical refraction longitudinal waves on different mesh transverse lines
Implementation Method 3
calculating the equivalent stress of each mesh node according to the mean transverse stress on different mesh transverse lines and the mean longitudinal stress on different mesh longitudinal lines on the surface of the detected article
Data Source
AI summary
The present invention discloses a method for constructing a surface stress distribution cloud map based on critical refraction longitudinal wave detection. The method comprises: firstly, meshing a surface of a detected article; secondly, The mean transverse stress on different grid lines and the mean longitudinal stress on different grid lines were obtained by the critical refraction longitudinal wave detection method; next, calculating the equivalent stress of each mesh node according to the mean transverse stress on different mesh transverse lines and the mean longitudinal stress on different mesh longitudinal lines on the surface of the detected article; and finally, drawing a stress distribution cloud map of the surface of the detected article according to the equivalent stress. The present invention can obtain the stress situations at different points on the surface of the detected article.