Fiber reinforced composite material parameter identifying method based on laser nondestructive scanning, and device

A fiber-reinforced, composite material technology, used in measuring devices, analyzing materials, and using sonic/ultrasonic/infrasonic waves for material analysis, etc. The effect of saving raw materials, reducing workload, and reducing experimental errors

Active Publication Date: 2017-07-14
NORTHEASTERN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Benefits of technology

This patented inventor describes an improved testing machine that uses special techniques called Lasersnunturi (Laser Nano-Disc) or Layered Structure Materials (LM). These tests involve breaking up layers of these structures by applying pressure while they hit them. By doing things like capturing gases released when heated, researchers may study how well various composites behave differently compared to nonwoven fabrics made entirely of synthetic fibers. Additionally, the use of specific tools allows users to measure certain characteristics without having to worry about getting damaged their samples due to exposure to harmful chemical agents used in manufacturing processes. Overall, this new technique simplifies the way we conduct experiments involving studying complex materials' behavior over longer periods of times than previously possible.

Problems solved by technology

Technological Problem addressed in this patents relates to improving structural composites (FS) with fibers reinforceings without damaging or harmful effects from environmental factors like heat stress and moisture damage. Current test techniques require destructively removing sample cores which may lead to wasted productivity time and potential security threat issues. Therefore, technical problem being solved involves developing a tool capable of accurately identifying these important dimensions while also reducing costs associated with current tests.

Method used

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  • Fiber reinforced composite material parameter identifying method based on laser nondestructive scanning, and device
  • Fiber reinforced composite material parameter identifying method based on laser nondestructive scanning, and device
  • Fiber reinforced composite material parameter identifying method based on laser nondestructive scanning, and device

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Embodiment Construction

[0024] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0025] 1. Tester hardware structure design

[0026] As shown in the figure, the device of the present invention is mainly composed of a compound working platform, a lifting platform, a clamping mechanism, an excitation device, a laser scanning vibration measurement system and a vacuum device;

[0027] The compound working platform includes the first working platform 4 and the second working platform 2, the two platforms are connected by the "I"-shaped support steel 3, and the bottom is supported by the base 1; the clamping mechanism 8 is used to fix and monitor the composite beam specimen to be tested 15, including the reference platform 17 and the briquetting block 18 on its top, the briquetting block is driven down by bolts to fix the composite beam specimen to be tested;

[0028] Two circular hole structures are set on the upper surface of the reference platform ...

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Abstract

The invention discloses a fiber reinforced composite material parameter identifying method based on laser nondestructive scanning, and a device. According to the fiber reinforced composite material parameter identifying method based on laser nondestructive scanning, the inherent frequencies, the damping ratio, and the resonance amplitude curves of the former three stages are input, and identification permissible error value is set to be 10%, so that fiber longitudinal elasticity modulus E1, fiber transverse elasticity modulus E2, shear modulus G12, Poisson's ratio v21, fiber longitudinal loss factor eta11, fiber transverse loss factor eta22, and shear loss factor eta12 are obtained.

Description

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Claims

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Application Information

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Owner NORTHEASTERN UNIV
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