Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Dynamic reliability prediction method for permanent magnet semi-direct drive cutting transmission system of coal mining machine

A technology of transmission system and prediction method, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of aggravating the randomness and mutation of gear stress, reduce the impact of loading sequence, facilitate parameter adjustment, The effect of improving accuracy

Active Publication Date: 2019-11-12
CHINA UNIV OF MINING & TECH
View PDF1 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for predicting the dynamic reliability of the shearer's permanent magnet semi-direct drive cutting transmission system, which solves the problem that the existing shearer has aggravated the randomness and sudden change of the gear stress in the harsh coal seam cutting environment sexual problems

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
  • Dynamic reliability prediction method for permanent magnet semi-direct drive cutting transmission system of coal mining machine
  • Dynamic reliability prediction method for permanent magnet semi-direct drive cutting transmission system of coal mining machine
  • Dynamic reliability prediction method for permanent magnet semi-direct drive cutting transmission system of coal mining machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] Below in conjunction with accompanying drawing and specific embodiment, the present invention will be further described, and the present invention provides a kind of method for predicting the dynamic reliability of shearer permanent magnet semi-direct drive cutting drive system, and its specific steps are as follows:

[0041] Step 1), establish cutting drum load model:

[0042] According to the cutting force model of the cutting teeth on the cutting drum, and fully considering the distribution of gangue in the coal seam, the load model of the cutting drum is established as the external load of the transmission system;

[0043] When the pick is mining coal, the instantaneous cutting force Z on a single pick cp for:

[0044] Z cp = Z 0 +100·δ cm ·S a k δ (3)

[0045] where Z 0 is the cutting force when the pick is sharp; 100·δ cm ·S a k δ is the increment of cutting force after the pick is blunted, δ cm is the uniaxial compressive coefficient of the coal-rock ...

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 dynamic reliability prediction method for a permanent magnet semi-direct drive cutting transmission system of a coal mining machine, and belongs to the field of transmissionsystem reliability analysis. The reliability prediction method comprises: firstly, establishing a load model under a gangue-containing coal seam and a dynamic model of a transmission system, and solving the dynamic meshing force of gears; obtaining more accurate dynamic residual strength based on the global S-N curve of the material and a nonlinear fatigue accumulation model; furthermore, establishing a residual strength model under multistage random loading, so that the residual strength error caused by a load loading sequence is greatly reduced; and establishing a corrected stress-strength model to obtain the dynamic reliability of the gear. According to the method, the service life of the gear bending fatigue can be quickly and effectively predicted, parameter adjustment is facilitated,a large amount of experimental measurement is avoided, parameterization analysis can be visually carried out on the reliability of the gear, and reference is provided for design and long-term safe operation of a cutting part transmission system.

Description

technical field [0001] The invention belongs to the field of reliability analysis of transmission systems, and relates to a method for predicting dynamic reliability of a shearer's permanent magnet semi-direct drive cutting transmission system. Background technique [0002] In the process of coal mining, due to the existence of gangue with high cutting resistance in the coal seam, the coal cutting load has the characteristics of strong impact and large fluctuation. The long-term impact load aggravates the fatigue fracture of the tooth root of the cutting part. In order to reduce the failure rate of the cutting part and improve the working efficiency of the shearer, it is necessary to study the reliability of the gear root bending fatigue of the transmission system. [0003] In the past, the analysis of gear reliability generally used the stress-strength interference model, and the stress and strength of the gear were treated as normal distribution by the method of variation ...

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): G06F17/50
Inventor 李威陈家俊王禹桥杨雪锋范孟豹许少毅盛连超王承涛陈宇鸣姜耸李敏
Owner CHINA UNIV OF MINING & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products