Cargando…

Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes

The conductive slip ring is used for power or signal transmission between two objects rotating relative to each other. It has become an essential part of modern industrial development. In traditional automated production measurements, the typical method is to use calipers, goniometers, or angle gaug...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Junye, Li, Jun, Wang, Xinpeng, Tian, Gongqiang, Fan, Jingfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949395/
https://www.ncbi.nlm.nih.gov/pubmed/35334739
http://dx.doi.org/10.3390/mi13030447
_version_ 1784674885612601344
author Li, Junye
Li, Jun
Wang, Xinpeng
Tian, Gongqiang
Fan, Jingfeng
author_facet Li, Junye
Li, Jun
Wang, Xinpeng
Tian, Gongqiang
Fan, Jingfeng
author_sort Li, Junye
collection PubMed
description The conductive slip ring is used for power or signal transmission between two objects rotating relative to each other. It has become an essential part of modern industrial development. In traditional automated production measurements, the typical method is to use calipers, goniometers, or angle gauges to measure a parameter of the workpiece several times and then average it. These inspection means have low measurement accuracy and slow measurement speed, and measurement data cannot be processed in a timely manner. A machine vision-based method for measuring and controlling the angle of the brushes is proposed for this problem. First, the brush angle forming device was built for the conductive slip ring brush wire, forming the principle and rebound characteristics. Then, machine vision and image processing algorithms were applied to measure the key parts of the conductive slip ring brushes. The data of the forming angle value and rebound angle value were obtained during the forming process of the brush wire angle. Finally, a pre-compensation model for the brush filament rebound was developed and validated based on the curve fitting method. The test results show that the error of the angle measurement is within 0.05°. The average error of the measured rebound angle and the calculated rebound angle of the brush filament pre-compensation model was 0.112°, which verifies the correctness of the pre-compensation model. The forming angle can be controlled more precisely, and the contact performance between the brush wire and the ring body can be improved effectively. This method has the potential to be extended to engineering applications.
format Online
Article
Text
id pubmed-8949395
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-89493952022-03-26 Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes Li, Junye Li, Jun Wang, Xinpeng Tian, Gongqiang Fan, Jingfeng Micromachines (Basel) Article The conductive slip ring is used for power or signal transmission between two objects rotating relative to each other. It has become an essential part of modern industrial development. In traditional automated production measurements, the typical method is to use calipers, goniometers, or angle gauges to measure a parameter of the workpiece several times and then average it. These inspection means have low measurement accuracy and slow measurement speed, and measurement data cannot be processed in a timely manner. A machine vision-based method for measuring and controlling the angle of the brushes is proposed for this problem. First, the brush angle forming device was built for the conductive slip ring brush wire, forming the principle and rebound characteristics. Then, machine vision and image processing algorithms were applied to measure the key parts of the conductive slip ring brushes. The data of the forming angle value and rebound angle value were obtained during the forming process of the brush wire angle. Finally, a pre-compensation model for the brush filament rebound was developed and validated based on the curve fitting method. The test results show that the error of the angle measurement is within 0.05°. The average error of the measured rebound angle and the calculated rebound angle of the brush filament pre-compensation model was 0.112°, which verifies the correctness of the pre-compensation model. The forming angle can be controlled more precisely, and the contact performance between the brush wire and the ring body can be improved effectively. This method has the potential to be extended to engineering applications. MDPI 2022-03-16 /pmc/articles/PMC8949395/ /pubmed/35334739 http://dx.doi.org/10.3390/mi13030447 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Junye
Li, Jun
Wang, Xinpeng
Tian, Gongqiang
Fan, Jingfeng
Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes
title Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes
title_full Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes
title_fullStr Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes
title_full_unstemmed Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes
title_short Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes
title_sort machine vision-based method for measuring and controlling the angle of conductive slip ring brushes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949395/
https://www.ncbi.nlm.nih.gov/pubmed/35334739
http://dx.doi.org/10.3390/mi13030447
work_keys_str_mv AT lijunye machinevisionbasedmethodformeasuringandcontrollingtheangleofconductiveslipringbrushes
AT lijun machinevisionbasedmethodformeasuringandcontrollingtheangleofconductiveslipringbrushes
AT wangxinpeng machinevisionbasedmethodformeasuringandcontrollingtheangleofconductiveslipringbrushes
AT tiangongqiang machinevisionbasedmethodformeasuringandcontrollingtheangleofconductiveslipringbrushes
AT fanjingfeng machinevisionbasedmethodformeasuringandcontrollingtheangleofconductiveslipringbrushes