Laser strengthening on-line monitoring method and device fusing acousto-optic thermal signals
By integrating the online monitoring method of acoustic, optical and thermal signals, multi-source heterogeneous data is acquired and processed, a low-rank multimodal fusion model is constructed, and the quality index is generated in real time, which solves the problem of precise control of the ultrafast laser enhancement processing process and improves the processing quality and efficiency.
CN120744633AInactive Publication Date: 2025-10-03AIR FORCE UNIV PLA
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Patent Information
- Application Number
- CN202511203882.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-27
- Publication Date
- 2025-10-03
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Technical Problem
Existing technologies lack effective online monitoring methods, making it difficult to achieve precise control of the ultrafast laser enhancement process, affecting the consistency and efficiency of processing quality.
Method used
The online monitoring method that integrates acoustic, optical and thermal signals obtains acoustic emission signals, spectral signals and thermal infrared images during the laser strengthening process, performs preprocessing and feature extraction, constructs a low-rank multimodal fusion model for quality prediction, and generates a quality index in real time.
Benefits of technology
The precise control of the laser strengthening process is achieved, and the processing quality and efficiency are improved.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a laser strengthening online monitoring method and device fusing acousto-optic thermal signals, and relates to the technical field of laser strengthening, the method comprises the following steps: acquiring an acoustic emission signal, a spectral signal and a thermal infrared image in a laser strengthening process; respectively preprocessing the acoustic emission signal, the spectral signal and the thermal infrared image to obtain a standard acoustic signal, standard spectral data and a standard thermal infrared image; carrying out feature extraction according to the standard sound signal, the standard spectral data and the standard thermal infrared image to respectively obtain a sound signal feature, a spectral feature and a temperature feature; and a quality prediction model is constructed and trained, the sound signal features, the spectral features and the temperature features are input into the quality prediction model for laser strengthening quality prediction, a real-time quality index is obtained, and the quality prediction model is constructed based on a low-rank multi-modal fusion model. According to the method, the quality index is generated in real time based on the acousto-optic thermal signals in the laser strengthening process, and the laser strengthening machining process is accurately controlled.
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