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铸件X射线检测虚拟探伤图像生成方法

董淏 周建新 高亮 侯明君 计效园 李沁阳 吴楚澔 李硕宏 郄喜望 陈强 李宁

铸造2024,Vol.73Issue(6):835-842,8.
铸造2024,Vol.73Issue(6):835-842,8.

铸件X射线检测虚拟探伤图像生成方法

Method of Generating Virtual Flaw Detection Image for X-Ray Inspection of Castings

董淏 1周建新 1高亮 2侯明君 1计效园 1李沁阳 1吴楚澔 1李硕宏 1郄喜望 3陈强 4李宁1

作者信息

  • 1. 华中科技大学材料成形与模具技术全国重点实验室,湖北武汉 430074
  • 2. 华中科技大学机械科学与工程学院,湖北武汉 430074
  • 3. 华中科技大学材料成形与模具技术全国重点实验室,湖北武汉 430074||中国航发北京航空材料研究院,北京 100095
  • 4. 中国兵器工业第五九研究所,重庆 710100
  • 折叠

摘要

Abstract

With the continuous improvement of the requirements for parts of national defense core equipment,castings are developing in the direction of complex structures,such as large wall thickness differences and multi-cross structures,which make it more difficult to detect internal defects in castings.In the process of X-ray flaw detection,filming relies on manual adjustment of imaging parts and parameters.There are problems such as easy missed detection of flaw detection parts and large fluctuations in imaging quality.It is urgent to develop intelligent partition parameter adjustment filming technology.For this reason,this paper proposes a method for generating virtual flaw detection images for X-ray inspection of castings.Firstly,the casting coordinate dimension reduction mapping model is established,and the dimension reduction mapping of the casting three-dimensional coordinates to the two-dimensional coordinates of the imaging plate is realized.Secondly,the simulation imaging parameter fitting model is established,and the simulation flaw detection image of the standard three-dimensional model of the casting is generated by the point source virtual ray.Finally,a virtual imaging system for X-ray inspection of castings is developed by integrating the two models.This method can provide optimized imaging attitude and imaging parameter information for actual flaw detection,and provide theoretical support for intelligent partition parameter adjustment and filming technology.

关键词

X射线探伤/铸件三维模型/点光源成像/虚拟探伤图像

Key words

X-ray inspection/3D model of casting/point imaging/virtual flaw detection image

分类

矿业与冶金

引用本文复制引用

董淏,周建新,高亮,侯明君,计效园,李沁阳,吴楚澔,李硕宏,郄喜望,陈强,李宁..铸件X射线检测虚拟探伤图像生成方法[J].铸造,2024,73(6):835-842,8.

基金项目

国家重点研发计划项目(2020YFB1710100) (2020YFB1710100)

国家自然科学基金(52275337、52090042和51905188). (52275337、52090042和51905188)

铸造

OACSTPCD

1001-4977

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