Modeling of the working accuracy for robotic belt grinding system for turbine blades

This article presents a calibration model for the whole grinding system to enhance its accuracy, because of the problem of low accuracy of the robotic belt grinding system which is due to the low absolute positioning accuracy of the robot as well as the deformations of the turbine blades and grindin...

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Main Authors: Junde Qi, Dinghua Zhang, Shan Li, Bing Chen
Format: Article
Language:English
Published: SAGE Publishing 2017-06-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814017700827
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spelling doaj-5fb8d563e52a4109a9e84e2a363621b12020-11-25T02:55:14ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402017-06-01910.1177/1687814017700827Modeling of the working accuracy for robotic belt grinding system for turbine bladesJunde QiDinghua ZhangShan LiBing ChenThis article presents a calibration model for the whole grinding system to enhance its accuracy, because of the problem of low accuracy of the robotic belt grinding system which is due to the low absolute positioning accuracy of the robot as well as the deformations of the turbine blades and grinding tool under the grinding force. First, the transition matrix of system working accuracy was established and the corresponding evaluation criterion was put forward for the systemic features. Then the deformation of the turbine blades and grinding tool were analyzed and modeled, respectively, and the model of the absolute positioning accuracy of the robot was established based on the geometrical error as well as the compliance error. Finally, based on the models above, a method of error compensation was presented and the flowchart was given. The experiments show that the absolute positioning accuracy of the robot (the average value reduces from 1.186 to 0.154 mm) and the accuracy of the whole grinding system (the average grinding force is 20.4 N which is very close to the predetermined 20 N) have been effectively improved, which prove that the method can help to expand the application scope of the robotic system.https://doi.org/10.1177/1687814017700827
collection DOAJ
language English
format Article
sources DOAJ
author Junde Qi
Dinghua Zhang
Shan Li
Bing Chen
spellingShingle Junde Qi
Dinghua Zhang
Shan Li
Bing Chen
Modeling of the working accuracy for robotic belt grinding system for turbine blades
Advances in Mechanical Engineering
author_facet Junde Qi
Dinghua Zhang
Shan Li
Bing Chen
author_sort Junde Qi
title Modeling of the working accuracy for robotic belt grinding system for turbine blades
title_short Modeling of the working accuracy for robotic belt grinding system for turbine blades
title_full Modeling of the working accuracy for robotic belt grinding system for turbine blades
title_fullStr Modeling of the working accuracy for robotic belt grinding system for turbine blades
title_full_unstemmed Modeling of the working accuracy for robotic belt grinding system for turbine blades
title_sort modeling of the working accuracy for robotic belt grinding system for turbine blades
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2017-06-01
description This article presents a calibration model for the whole grinding system to enhance its accuracy, because of the problem of low accuracy of the robotic belt grinding system which is due to the low absolute positioning accuracy of the robot as well as the deformations of the turbine blades and grinding tool under the grinding force. First, the transition matrix of system working accuracy was established and the corresponding evaluation criterion was put forward for the systemic features. Then the deformation of the turbine blades and grinding tool were analyzed and modeled, respectively, and the model of the absolute positioning accuracy of the robot was established based on the geometrical error as well as the compliance error. Finally, based on the models above, a method of error compensation was presented and the flowchart was given. The experiments show that the absolute positioning accuracy of the robot (the average value reduces from 1.186 to 0.154 mm) and the accuracy of the whole grinding system (the average grinding force is 20.4 N which is very close to the predetermined 20 N) have been effectively improved, which prove that the method can help to expand the application scope of the robotic system.
url https://doi.org/10.1177/1687814017700827
work_keys_str_mv AT jundeqi modelingoftheworkingaccuracyforroboticbeltgrindingsystemforturbineblades
AT dinghuazhang modelingoftheworkingaccuracyforroboticbeltgrindingsystemforturbineblades
AT shanli modelingoftheworkingaccuracyforroboticbeltgrindingsystemforturbineblades
AT bingchen modelingoftheworkingaccuracyforroboticbeltgrindingsystemforturbineblades
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