Invention Grant
- Patent Title: Weld analysis using Lamb waves and a neural network
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Application No.: US15573370Application Date: 2016-05-11
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Publication No.: US10578586B2Publication Date: 2020-03-03
- Inventor: Ifeanyi Charles Ume , Lei Yang
- Applicant: Georgia Tech Research Corporation
- Applicant Address: US GA Atlanta
- Assignee: Georgia Tech Research Corporation
- Current Assignee: Georgia Tech Research Corporation
- Current Assignee Address: US GA Atlanta
- Agency: Troutman Sanders LLP
- Agent Ryan A. Schneider
- International Application: PCT/US2016/031939 WO 20160511
- International Announcement: WO2016/183250 WO 20161117
- Main IPC: G01N29/04
- IPC: G01N29/04 ; G01N29/34 ; B23K31/12 ; B23K31/00
Abstract:
A CWT-based method to calculate transmission coefficients of different Lamb waves using individual LEU signals. A neural network was trained to accurately predict WPDs based on the transmission coefficients of selected Lamb waves and the LEU signal energy. The method is capable of inspecting WPDs quickly along welds in thin structures.
Public/Granted literature
- US20180136169A1 Weld Analysis Using Lamb Waves and a Neural Network Public/Granted day:2018-05-17
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