A detection method for early fatigue cracks of 316l stainless steel based on critical refraction longitudinal wave and vibration-acoustic modulation technology

A technology of vibration sound modulation and critical refraction, which is applied in the generation of ultrasonic/sonic/infrasonic waves, the use of sound waves/ultrasonic/infrasonic waves to analyze solids, and the use of sound waves/ultrasonic/infrasonic waves for material analysis, etc., to improve the accuracy of detection and positioning , to avoid the effect of multiple reflections

Active Publication Date: 2022-05-17
CHINA JILIANG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the limitations of the principle, traditional linear ultrasound can only detect large and visible defects

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A detection method for early fatigue cracks of 316l stainless steel based on critical refraction longitudinal wave and vibration-acoustic modulation technology
  • A detection method for early fatigue cracks of 316l stainless steel based on critical refraction longitudinal wave and vibration-acoustic modulation technology
  • A detection method for early fatigue cracks of 316l stainless steel based on critical refraction longitudinal wave and vibration-acoustic modulation technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The present invention will be further described below in conjunction with the accompanying drawings. in figure 1 A three-dimensional map of the entire device; figure 2 for side view.

[0019] Such as figure 1 As shown, the device includes FPGA transmitting system 1, transmitting transducer 2, plexiglass wedge 3, plexiglass wedge 4, plexiglass wedge 5, receiving transducer 6, early fatigue crack 7, FPGA receiving system 8 , 316L stainless steel components 9. Among them, the FPGA launch system 1 such as image 3 Including: signal transmitting module, signal synchronous display module, power amplification module; plexiglass wedges 3 and 4 whose angles are designed as image 3 As shown, its incident angle is equal to the first critical angle , which is used to eliminate the reflected wave in the wedge; the angle design of the plexiglass wedge 5 is as follows Figure 5 As shown, the incident angle is equal to the refraction angle of the refracted shear wave, which is ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a method for detecting early fatigue cracks of 316L stainless steel based on critical refraction longitudinal wave and vibration-acoustic modulation technology. The invention includes FPGA transmitting system, transmitting transducer, plexiglass wedge, receiving transducer, early fatigue crack, FPGA receiving system, 316L stainless steel component, FPGA transmitting system is connected with transmitting transducer, and transmitting transducer emits The low-frequency sine wave and high-frequency pulse train are injected into the plexiglass wedge at the first critical angle, and the sound wave entering the wedge only produces critical refraction longitudinal waves incident on the surface of 316L stainless steel components by using the principle of noise reduction, and the longitudinal waves interact with fatigue cracks A nonlinear damage signal is generated, and the detection signal is received by the receiving transducer and displayed and stored by the FPGA receiving system. The invention utilizes the combined detection method of the critical refraction longitudinal wave and the vibration-acoustic modulation to obtain relatively pure nonlinear damage signals, and further realizes the detection of early fatigue microcracks of 316L stainless steel.

Description

technical field [0001] The invention relates to a method for detecting early fatigue cracks of 316L stainless steel based on critical refraction longitudinal wave and vibroacoustic modulation technology. Background technique [0002] 3D printed stainless steel parts have excellent corrosion resistance, high temperature resistance, wear resistance, creep resistance and good appearance gloss, and the molded parts have high strength, and can meet the processing requirements of large-scale printed parts. Aerospace, medical equipment manufacturing, automobile manufacturing, daily life and other fields have been widely used. 316L stainless steel powder is an earlier stainless steel material developed for 3D printing, and now it has become a typical processing material in the 3D printing market. SML technology is based on the principle of "discrete layering plus superposition". It uses high-energy laser beams to directly form metal powder into three-dimensional solid parts. After ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01N29/12G01N29/34G01N29/46
CPCG01N29/12G01N29/343G01N29/46G01N2291/0234G01N2291/0258G01N2291/0289
Inventor 郑慧峰凌田昊呼刘晨王月兵曹永刚张沫朱勤丰
Owner CHINA JILIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products