一种基于声发射的钛合金应力腐蚀损伤分类方法及装置
A classification model constructed using acoustic emission sensors and decision tree algorithms solves the problem of non-destructive identification of stress corrosion damage types in titanium alloys, enabling accurate classification and monitoring of stress corrosion damage in titanium alloys.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- UNIV OF SCI & TECH BEIJING
- Filing Date
- 2023-08-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot accurately distinguish the types of stress corrosion damage in titanium alloys under non-destructive conditions.
An acoustic emission-based method is adopted to acquire stress corrosion damage signals using acoustic emission sensors. A classification model is constructed using a decision tree algorithm to label and classify the waveform signal data, thereby achieving accurate identification of stress corrosion damage in titanium alloys.
It can accurately distinguish the types of stress corrosion damage in titanium alloys under non-destructive testing conditions, provide technical support for stress corrosion cracking detection, and monitor the existence, location, expansion trend, and severity of corrosion damage.
Smart Images
Figure CN117191956B_ABST