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

Method for Predicting Welding Deformation of Radar Large Structural Parts

A technology for large structural parts and welding deformation, applied in welding equipment, arc welding equipment, manufacturing tools, etc., can solve the problem of high cost, achieve the effect of reducing the number of manufacturing, reducing production costs, and shortening welding production time

Active Publication Date: 2015-08-05
CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to further accurately predict the welding deformation trend and deformation amount of large-scale structural parts, and solve the problem of high cost of welding deformation control in the prior art, the present invention proposes a method for predicting the welding deformation of large-scale structural parts of radar

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
  • Method for Predicting Welding Deformation of Radar Large Structural Parts
  • Method for Predicting Welding Deformation of Radar Large Structural Parts

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Below in conjunction with embodiment, the present invention will be further described.

[0026] see figure 1 , the large-scale radar structure consists of two parallel longitudinal beams 1, and several beams 2 between the two longitudinal beams 1, forming a rectangular frame shape by welding, wherein the length of the longitudinal beam 1 is 8000mm, and the length of the beam 2 is 1000mm; The longitudinal beam 1 has a rectangular cross-section and is formed by two U-shaped steels welded oppositely; the material of the U-shaped steels is Domex high-strength steel with a thickness of 3mm.

[0027] The specific operation steps for predicting the welding deformation of the above-mentioned large-scale radar structural parts are as follows:

[0028] 1) Determine the MIG welding parameters of large-scale radar structural parts, mainly including: the material of the parts to be welded is high-strength steel, the thickness of the parts to be welded is 3mm, the joint form is butt...

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

PropertyMeasurementUnit
thicknessaaaaaaaaaa
lengthaaaaaaaaaa
lengthaaaaaaaaaa
Login to View More

Abstract

The invention relates to a method for predicting welding deformation of a large radar structural part. The method comprises the steps of adopting a large radar structural part welding process to select an appropriate welding experiment board and a strain piece and adopting a blind hole method to extract the deformation amount in the welding process; performing modeling and grid dividing on the experiment board and the large structural part; adopting a thermo-elastic finite element method to preliminarily determine the welding deformation amount of a test part, comparing the welding deformation amount with a measured value and enabling an error to be smaller than 15% according to the fine adjustment boundary condition and the clamping condition; adopting an inherent strain method to directly load the deformation amount obtained through experiment board calculation to the welding deformation calculation of the large structural part, and finishing prediction on the welding deformation of the large structural part. The method adopts a small amount of process tests and combines with the inherent strain method to achieve quantitative prediction on the welding deformation of the large radar structural part and deformation trend analysis, the test cost of the large structural part welding process is reduced, the test working amount and the analog calculation amount are decreased, and the method has guiding significance on radar welding production.

Description

technical field [0001] The invention belongs to the technical field of welding technology, and in particular relates to a method for predicting the welding deformation of large-scale radar structural parts by using numerical simulation technology. Background technique [0002] Due to the large size, complex structure and dense welds of the large radar structural parts, the deformation of the structural parts during the welding forming process is large, which seriously affects the overall performance of the radar. Therefore, measures must be taken to reduce welding deformation during the welding forming process. In general, technicians explore suitable welding processes by making small models of structural parts and then welding them. This method not only has a large workload, a long period and high cost, but also the welding process for small models is generally difficult to meet the welding requirements of large structural parts. In recent years, with the development of co...

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): B23K9/173B23K31/12
CPCB23K9/173B23K31/003B23K31/12
Inventor 栾兆菊谭贵红谢旻
Owner CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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