Machine-human Cooperative Control of Welding Process

An innovative auxiliary control system is developed to cooperate with an unskilled welder in a manual GTAW in order to obtain a consistent welding performance. In the proposed system, a novel mobile sensing system is developed to non-intrusively monitor a manual GTAW by measuring three-dimensional (...

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Main Author: Zhang, Weijie
Format: Others
Published: UKnowledge 2014
Subjects:
Online Access:http://uknowledge.uky.edu/ece_etds/45
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1050&context=ece_etds
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spelling ndltd-uky.edu-oai-uknowledge.uky.edu-ece_etds-10502015-04-11T05:04:17Z Machine-human Cooperative Control of Welding Process Zhang, Weijie An innovative auxiliary control system is developed to cooperate with an unskilled welder in a manual GTAW in order to obtain a consistent welding performance. In the proposed system, a novel mobile sensing system is developed to non-intrusively monitor a manual GTAW by measuring three-dimensional (3D) weld pool surface. Specifically, a miniature structured-light laser amounted on torch projects a dot matrix pattern on weld pool surface during the process; Reflected by the weld pool surface, the laser pattern is intercepted by and imaged on the helmet glass, and recorded by a compact camera on it. Deformed reflection pattern contains the geometry information of weld pool, thus is utilized to reconstruct its $3$D surface. An innovative image processing algorithm and a reconstruction scheme have been developed for (3D) reconstruction. The real-time spatial relations of the torch and the helmet is formulated during welding. Two miniature wireless inertial measurement units (WIMU) are mounted on the torch and the helmet, respectively, to detect their rotation rates and accelerations. A quaternion based unscented Kalman filter (UKF) has been designed to estimate the helmet/torch orientations based on the data from the WIMUs. The distance between the torch and the helmet is measured using an extra structure-light low power laser pattern. Furthermore, human welder's behavior in welding performance has been studied, e.g., a welder`s adjustments on welding current were modeled as response to characteristic parameters of the three-dimensional weld pool surface. This response model as a controller is implemented both automatic and manual gas tungsten arc welding process to maintain a consistent full penetration. 2014-01-01T08:00:00Z text application/pdf http://uknowledge.uky.edu/ece_etds/45 http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1050&context=ece_etds Theses and Dissertations--Electrical and Computer Engineering UKnowledge Manual GTAW Weld Pool Mobile Sensing Real-time Reconstruction Human Welder Response Electrical and Electronics Other Electrical and Computer Engineering Signal Processing
collection NDLTD
format Others
sources NDLTD
topic Manual GTAW
Weld Pool Mobile Sensing
Real-time Reconstruction
Human Welder Response
Electrical and Electronics
Other Electrical and Computer Engineering
Signal Processing
spellingShingle Manual GTAW
Weld Pool Mobile Sensing
Real-time Reconstruction
Human Welder Response
Electrical and Electronics
Other Electrical and Computer Engineering
Signal Processing
Zhang, Weijie
Machine-human Cooperative Control of Welding Process
description An innovative auxiliary control system is developed to cooperate with an unskilled welder in a manual GTAW in order to obtain a consistent welding performance. In the proposed system, a novel mobile sensing system is developed to non-intrusively monitor a manual GTAW by measuring three-dimensional (3D) weld pool surface. Specifically, a miniature structured-light laser amounted on torch projects a dot matrix pattern on weld pool surface during the process; Reflected by the weld pool surface, the laser pattern is intercepted by and imaged on the helmet glass, and recorded by a compact camera on it. Deformed reflection pattern contains the geometry information of weld pool, thus is utilized to reconstruct its $3$D surface. An innovative image processing algorithm and a reconstruction scheme have been developed for (3D) reconstruction. The real-time spatial relations of the torch and the helmet is formulated during welding. Two miniature wireless inertial measurement units (WIMU) are mounted on the torch and the helmet, respectively, to detect their rotation rates and accelerations. A quaternion based unscented Kalman filter (UKF) has been designed to estimate the helmet/torch orientations based on the data from the WIMUs. The distance between the torch and the helmet is measured using an extra structure-light low power laser pattern. Furthermore, human welder's behavior in welding performance has been studied, e.g., a welder`s adjustments on welding current were modeled as response to characteristic parameters of the three-dimensional weld pool surface. This response model as a controller is implemented both automatic and manual gas tungsten arc welding process to maintain a consistent full penetration.
author Zhang, Weijie
author_facet Zhang, Weijie
author_sort Zhang, Weijie
title Machine-human Cooperative Control of Welding Process
title_short Machine-human Cooperative Control of Welding Process
title_full Machine-human Cooperative Control of Welding Process
title_fullStr Machine-human Cooperative Control of Welding Process
title_full_unstemmed Machine-human Cooperative Control of Welding Process
title_sort machine-human cooperative control of welding process
publisher UKnowledge
publishDate 2014
url http://uknowledge.uky.edu/ece_etds/45
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1050&context=ece_etds
work_keys_str_mv AT zhangweijie machinehumancooperativecontrolofweldingprocess
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