磨齿机在机检测机构几何误差链建模与补偿
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TH161+.21

基金项目:

国 家 自 然 科 学 基金(51875360) 、上 海 市 科 学 技 术 委 员 会(19060502300)项 目 资 助


Modeling and compensation of geometric error chain of on-machine inspection mechanism for gear grinder
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    由于几何误差的影响,现有研究主要考虑末端机构或关键运动轴几何误差补偿,尚缺逐次补偿运动轴几何误差。为了避免形成在机检测机构几何误差链而产生误差累积效应,有效提升在机检测精度。根据自主研发卧式磨齿机在机检测原理,基于多刚体系统运动学和齐次坐标变换理论,建立在机检测机构几何误差链模型。逐次识别并补偿几何误差链中运动轴几何误差后,进行了磨齿机标准样板齿轮检测实验。结果表明:误差补偿前后,齿向精度均为4级;误差补偿后,齿形精度提高4个等级,为4级精度,与格里森检测实验结果相吻合。结果验证了模型的正确性,有望在磨齿机高精度在机检测系统中推广使用。

    Abstract:

    Due to the geometric error nfluence,the existing research mainly considers the geometric error compensation of end-mechanism or key moving-axis,lacks successive compensation of moving-axis-geometric-error.In order to avoid error accumulation effect caused by geometric error chain of on-machine inspection mechanism and effectively improve on-machine inspection accuracy,according to the on-machine inspection principle of the independently developed horizontal gear grinder,based on the multi-rigid body system kinematics and homogeneous coordinate transformation theory,the geometric error chain model of on-machine inspection mechanism is established. After the moving-axis-gcometic-errors of geometric error chain are identified and compensated step by step,the standard sample gear inspections of the gear grinder were carried out. Results show that before and afte error compensation,the tooth lead accuracies are both at level 4; afer erro compensation,the tooth profile accuracy is improved by 4 grades and is at level 4,which is consistent with the result of Gleaso inspections.The results verify the correctness of the model,which is expected to be used in high-precision on-machine inspection system of gear grinder.

    参考文献
    相似文献
    引证文献
引用本文

杨勇明,汪中厚,刘欣荣,陈敢,久保爱三.磨齿机在机检测机构几何误差链建模与补偿[J].仪器仪表学报,2021,(6):9-19

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-06-28
  • 出版日期:
文章二维码