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力传感器在关节臂坐标测量机测量可靠性改进中的应用。

Application of a force sensor to improve the reliability of measurement with Articulated Arm Coordinate Measuring Machines.

机构信息

Department of Mechanical, Informatics and Aeroespatial Engineering, University of León, León 24071, Spain.

出版信息

Sensors (Basel). 2013 Aug 13;13(8):10430-48. doi: 10.3390/s130810430.

DOI:10.3390/s130810430
PMID:23945737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3812612/
Abstract

A study of the operator contact force influence on the performance of Articulated Arm Coordinate Measuring Machines (AACMMs) is presented in this paper. After developing a sensor capable of measuring the contact force applied by an operator, a ring gauge has been used to analyse the relationship between the contact force and diameter and form errors measured with the AACMM. As a result, contact force has been proved as one of the main factors influencing the AACMM performance. A probe deflection model based on the Finite Element Method (FEM) has been also proposed in order to obtain the AACMM probe deflection caused by contact force. This allows measurement correction by comparing them with reference values, specifically, a ring gauge. Experimental test results show a significant measurement improvement that minimizes diameter error. Finally, an uncertainty evaluation for the contact force sensor and AACMM measurements with and without probe deflection model has been carried out in order to validate the ability of the sensor and the methodology followed.

摘要

本文研究了操作人员接触力对关节臂坐标测量机(AACMM)性能的影响。在开发出一种能够测量操作人员施加的接触力的传感器之后,使用环规分析了接触力与 AACMM 测量的直径和形状误差之间的关系。结果表明,接触力是影响 AACMM 性能的主要因素之一。还提出了一种基于有限元法(FEM)的探头挠度模型,以获得由接触力引起的 AACMM 探头挠度。这允许通过将它们与参考值(特别是环规)进行比较来进行测量校正。实验测试结果表明,测量精度有了显著提高,直径误差最小化。最后,对带有和不带有探头挠度模型的接触力传感器和 AACMM 测量进行了不确定度评估,以验证传感器的能力和所采用的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/59a5191fcb88/sensors-13-10430f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/255f8bb3c210/sensors-13-10430f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/89aa4087cd31/sensors-13-10430f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/9cf249358677/sensors-13-10430f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/29c9cd306f40/sensors-13-10430f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/94c83f4c4fdc/sensors-13-10430f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/53aacb37ac03/sensors-13-10430f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/39d212f95a68/sensors-13-10430f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/5b9e7ff77930/sensors-13-10430f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/bc9df9ff5cdd/sensors-13-10430f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/e605c3cd4b09/sensors-13-10430f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/ffc81fd5c9cc/sensors-13-10430f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/7ca7489ccab1/sensors-13-10430f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/e33d01458109/sensors-13-10430f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/59a5191fcb88/sensors-13-10430f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/255f8bb3c210/sensors-13-10430f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/89aa4087cd31/sensors-13-10430f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/9cf249358677/sensors-13-10430f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/29c9cd306f40/sensors-13-10430f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/94c83f4c4fdc/sensors-13-10430f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/53aacb37ac03/sensors-13-10430f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/39d212f95a68/sensors-13-10430f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/5b9e7ff77930/sensors-13-10430f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/bc9df9ff5cdd/sensors-13-10430f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/e605c3cd4b09/sensors-13-10430f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/ffc81fd5c9cc/sensors-13-10430f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/7ca7489ccab1/sensors-13-10430f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/e33d01458109/sensors-13-10430f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fd/3812612/59a5191fcb88/sensors-13-10430f14.jpg

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本文引用的文献

1
Modelling and calibration technique of laser triangulation sensors for integration in robot arms and articulated arm coordinate measuring machines.激光三角传感器在机器人手臂和关节臂坐标测量机中的建模和标定技术。
Sensors (Basel). 2009;9(9):7374-96. doi: 10.3390/s90907374. Epub 2009 Sep 11.
2
An overview of kinematic and calibration models using internal/external sensors or constraints to improve the behavior of spatial parallel mechanisms.使用内部/外部传感器或约束来改善空间并联机构行为的运动学和校准模型概述。
Sensors (Basel). 2010;10(11):10256-97. doi: 10.3390/s101110256. Epub 2010 Nov 16.
基于电容式传感器的索引平台用于便携式坐标测量仪器验证的设计与力学评估
Sensors (Basel). 2014 Jan 2;14(1):606-33. doi: 10.3390/s140100606.