Quantitative forecasting method based on shock wave type impact wear rate speed index

A technology of velocity index and prediction method, applied in the field of quantitative prediction of impact wear rate velocity index, can solve the problems of inability to carry out structural optimization, large numerical prediction error of erosion wear rate, etc., to achieve the effect of optimizing design and improving accuracy

Inactive Publication Date: 2016-05-04
ZHEJIANG SCI-TECH UNIV
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the above-mentioned experimental results, the particle impact velocity is between 10m / s and 60m / s. Using this model to predict the erosion wear rate of high flow velocity (particle impact velocity greater than 100m / s) has a large error and cannot be carried out. Structural Optimization Based on Erosion Wear Prediction

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
  • Quantitative forecasting method based on shock wave type impact wear rate speed index
  • Quantitative forecasting method based on shock wave type impact wear rate speed index
  • Quantitative forecasting method based on shock wave type impact wear rate speed index

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be further described below in conjunction with drawings and embodiments.

[0032] A shock wave type quantitative prediction method of impact wear rate velocity index includes two parts, one is a drawing method of impact wear rate curve, and the other is a prediction method of impact wear rate velocity index.

[0033] 1) The drawing method of the impact wear rate curve comprises the following steps:

[0034] Step 1.1) According to figure 1 The schematic diagram of the experiment is shown, and the experimental device is installed. Among them, the high-pressure pipe section 2 and the low-pressure pipe section 5 are separated by a non-metallic diaphragm 4, and then connected and fixed by clamp flange 3; the low-pressure pipe section 5 and the particle acceleration section 7 are separated by tin foil 6, and then passed The flange is compressed and fixed, wherein the tin foil 6 is placed with a group of particles 9 . The high-pressure gas cylinde...

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 a quantitative forecasting method based on the shock wave type impact wear rate speed index. The method includes the steps of drawing a particle swarm impact wear rate curve and establishing the quantitative forecasting method based on the shock wave type impact wear rate speed index. A forecasting model for the impact wear rate index is established, can be used for rapidly inquiring about the impact wear rate speed index, at a given impact speed and angle, of an assigned material, can provide an important foundation for establishing an impact wear rate correction model under the gas-solid two-phase flow environment, improves the impact wear forecasting precision, and is suitable for risk assessment of device systems such as pressure pipelines and pressure containers. The impact wear rate speed index can be solved and forecasted for impact wear-out failure cases of pipelines and valves of flow industries such as the petrochemical engineering industry, the coal chemical industry and the nuclear power industry, and theoretical support is provided for failure analysis, optimized design, risk assessment and remaining life evaluation of pipelines and valves.

Description

technical field [0001] The invention relates to a method for testing and predicting erosion wear rate, in particular to a shock wave-based quantitative prediction method for impact wear rate speed index. Background technique [0002] Pipeline transportation is widely used in petrochemical, coal chemical, biopharmaceutical, nuclear power and other process industries, and plays a very important role in the development of the national economy. [0003] In recent years, with the increasing shortage of crude oil resources, the development of coal-based liquefaction projects is one of the main measures to alleviate the energy crisis and ensure the security of the national energy strategy. In the direct coal liquefaction project, the composition of the hydrogenation reaction effluent is extremely complex, including the gas phase dominated by hydrogen, and incompletely reacted coal powder and inorganic minerals (mainly composed of SiO 2 etc.), and the solid phase composed of insuff...

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): G01N3/56
CPCG01N3/567
Inventor 金浩哲陈小平偶国富刘文文
Owner ZHEJIANG SCI-TECH 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