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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >A parameterized automatic programming solution for composite grinding based on digital image processing
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A parameterized automatic programming solution for composite grinding based on digital image processing

机译:基于数字图像处理的复合磨削参数化自动编程解决方案

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摘要

In this paper, a parameterized automatic programming solution whose advantage depends on the automatic feature recognition of digital image is proposed and applied to the development of automatic programming software for composite grinding. This solution can overcome the difficulty of recognizing intersecting feature of complicated rotational part. And a 7-layer CNN classifier is utilized to decide whether the part has the internal features or not, which makes the proposed feature recognition method more intelligent than retrieving the unknown objects blindly. The emphasis of the research is the geometric data extraction algorithm which is the synthesis of border following algorithm, corner detection algorithm and a variety of morphological processing. Under the condition of 12000 x 12000 pixel dimension and 200-dpi resolution of input image, the relative errors between the extracted and actual values of various geometric data are all less than 0.05% for the rotational parts of maximum diameter 500 mm and maximum length of 1500 mm. And all the extracted values of geometric data rounded to integers can fully meet the requirements of NC programming. The automatic programming software based on the proposed solution has excellent portability and practicability, which is independent of any CAD tools or data exchange standards. After the programs generated by the automatic programming software are validated in simulation software NCSIMUL, the software is integrated into HNC-848 CNC system and applied in the prototype of H377 composite grinding center.
机译:本文提出了一种参数化的自动编程解决方案,其优势取决于数字图像的自动特征识别,并应用于复合研磨的自动编程软件的开发。该解决方案可以克服识别复杂旋转部件的交叉特征的难度。和7层CNN分类器用于决定该部件是否具有内部特征,这使得提出的特征识别方法更智能地盲目地检索未知对象。该研究的重点是几何数据提取算法,其是边界算法,角检测算法和各种形态处理的合成。在12000×12000像素尺寸和200-dpi分辨率的条件下,各种几何数据的提取和实际值之间的相对误差均小于500mm和最大长度的旋转部分的0.05% 1500毫米。并且舍入到整数的几何数据的所有提取值都可以完全满足NC编程的要求。基于所提出的解决方案的自动编程软件具有出色的可移植性和实用性,它与任何CAD工具或数据交换标准无关。在仿真软件NCSIMUL中验证自动编程软件的程序后,该软件集成到HNC-848 CNC系统中,并应用于H377复合磨削中心的原型。

著录项

  • 来源
  • 作者单位

    Shanghai Univ Sch Mechatron Engn &

    Automat Shanghai Key Lab Intelligent Mfg &

    Robot Room 431 Bldg 9 333 Nanchen Rd Shanghai 200444 Peoples R China;

    Shanghai Univ Sch Mechatron Engn &

    Automat Shanghai Key Lab Intelligent Mfg &

    Robot Room 431 Bldg 9 333 Nanchen Rd Shanghai 200444 Peoples R China;

    Shanghai Univ Sch Mechatron Engn &

    Automat Shanghai Key Lab Intelligent Mfg &

    Robot Room 431 Bldg 9 333 Nanchen Rd Shanghai 200444 Peoples R China;

    Shanghai Univ Sch Mechatron Engn &

    Automat Shanghai Key Lab Intelligent Mfg &

    Robot Room 431 Bldg 9 333 Nanchen Rd Shanghai 200444 Peoples R China;

    Shanghai Univ Sch Mechatron Engn &

    Automat Shanghai Key Lab Intelligent Mfg &

    Robot Room 431 Bldg 9 333 Nanchen Rd Shanghai 200444 Peoples R China;

    Shanghai Univ Sch Mechatron Engn &

    Automat Shanghai Key Lab Intelligent Mfg &

    Robot Room 431 Bldg 9 333 Nanchen Rd Shanghai 200444 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化装置与设备 ;
  • 关键词

    Image processing; Data extraction; Feature recognition; CNN classifier; Automatic programming;

    机译:图像处理;数据提取;功能识别;CNN分类器;自动编程;

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