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基于激光点云技术的机床夹具设计与改进

刘兆亮 杜龙龙 王荣扬 赵文超

激光技术2024,Vol.48Issue(4):597-602,6.
激光技术2024,Vol.48Issue(4):597-602,6.DOI:10.7510/jgjs.issn.1001-3806.2024.04.020

基于激光点云技术的机床夹具设计与改进

Design and improvement of machine tool fixture based on laser point cloud technology

刘兆亮 1杜龙龙 2王荣扬 3赵文超4

作者信息

  • 1. 湖州师范学院理学院,湖州 313000,中国
  • 2. 湖州职业技术学院信息工程与物联网学院,湖州 313000,中国
  • 3. 湖州职业技术学院教务处,湖州 313000,中国
  • 4. 湖州学院电子信息学院,湖州 313000,中国
  • 折叠

摘要

Abstract

In order to solve the problem of low generality of traditional machine tool fixtures,errors and low efficiency caused by multiple tool settings and installation,an improvement scheme of machine tool clamping based on point cloud reverse modeling technology is proposed.By installing a laser scanner on both sides of the fixture to obtain the 3-D point cloud information of the workpiece and the fixture,the curvature discrimination algorithm and iterative closest point algorithm based on particle swarm search were used to denoise and coordinate registration,and the 3-D space coordinates of the workpiece and the machine tool were established.Finally,the offset between the space coordinate system and the machine coordinate system was calculated according to the point cloud coordinate of the reference point,and the offset value was entered into the computerized numerical control system for machining.The experimental results show that the improved fixture can effectively reduce the number of tool settings and clamping,and the overall efficiency is increased by about 30%.The research has a certain reference value for improving the processing efficiency of parts with more machining surfaces and more complicated processes.

关键词

激光技术/机床夹具/点云逆向建模/迭代最近点配准算法/工效提升

Key words

laser technique/machine tool fixture/point cloud reverse modeling/iterative closest point registration algorithm/work efficiency improvement

分类

信息技术与安全科学

引用本文复制引用

刘兆亮,杜龙龙,王荣扬,赵文超..基于激光点云技术的机床夹具设计与改进[J].激光技术,2024,48(4):597-602,6.

基金项目

浙江省基础公益研究计划资助项目(LGN18E050002) (LGN18E050002)

浙江省普通本科高校"十四五"教学改革项目(jg20220707) (jg20220707)

激光技术

OA北大核心CSTPCD

1001-3806

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