Internal damage detection method for old mechanical part based on Volterra series

A technology for damage detection and mechanical parts, applied in the direction of measuring devices, testing material strength by applying repetitive force/pulsation force, instruments, etc., to achieve the effect of reliable quality, simple operation and low detection cost

Inactive Publication Date: 2014-02-05
GUANGXI UNIV
View PDF1 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] To sum up, there are no research reports on using the Volterra model to detect damage defects of old parts in remanufacturing, but the existing research and practice have established for us A convenient, fast and accurate method for internal damage detection of old parts based on the Volterra nonlinear model provides a theoretical and practical basis

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
  • Internal damage detection method for old mechanical part based on Volterra series

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Select the old crankshaft parts of No. 45 steel as the test piece. The first step: analyze the fatigue nucleation, micro-crack formation, and macro-cracks of the test piece in the tensile test through the fatigue test equipment combined with the fracture scanning electron microscope observation and X-ray energy spectrum. Acoustic emission characteristics of the four stages of expansion and final fracture, combined with fracture mechanics to analyze the mechanism of the four stages, and obtain the simulated part specimens in the four stages; then use the pulse hammer to excite the simulated part specimens to make them reach Resonance or critical resonance, that is, its vibration response reaches a maximum, on which acceleration sensors are preferably arranged at multiple measurement points to pick up its output response under pulse excitation. The second step: by sorting out the response signals of the first step, the Volterra nonlinear model of the system is analyzed and...

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 discloses an internal damage detection method for an old mechanical part based on the Volterra series. The internal damage detection method comprises the steps of performing pulsed excitation on the old part to be detected through a pulse force hammer under the support of a free boundary; identifying a Volterra non-linear module of a system according to an input detection signal and a corresponding response signal, and giving out a non-linear output frequency response function estimation formula of the system; constructing a sensitive index function through a low-three-order non-linear output frequency response function, and estimating an actually detected value of the sensitive index function according to experiment test data; detecting the sensitivity of the sensitive index function to the internal damage of the old part through a series of tests, and reconstructing the sensitive index function to preferably select a suitable sensitive index function; evaluating an internal defect of the old part according to a non-linear characteristic sensitive index function value obtained through actually detected signal data, and constructing a classification standard for remanufacturing the cold part. The internal damage detection method is suitable for convenient, quick and accurate detection of a batch of old parts.

Description

technical field [0001] The invention relates to a method for detecting internal damage of old mechanical parts in mechanical manufacturing and remanufacturing engineering, in particular to a method for detecting internal damage of old mechanical parts based on Volterra series, which is suitable for convenient, fast and accurate detection of batches of old parts. Background technique [0002] Remanufacturing is a strategic emerging industry. The improvement of remanufacturing technology can ensure that the product quality and performance are not inferior to new products, and even exceed new products, but the cost is only 50% of new products, energy saving is 60%, material saving is 70%, and it is environmentally friendly. adverse effects were significantly reduced. To promote energy saving and emission reduction in the manufacturing industry, remanufacturing projects must be vigorously developed. In remanufacturing engineering, it is the most energy-saving, material-saving a...

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 Applications(China)
IPC IPC(8): G01N3/34G01N3/00
Inventor 毛汉领毛汉颖黄振峰熊永敬高剑波
Owner GUANGXI 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