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contributor authorGuo, Weihong
contributor authorChen, Rui
contributor authorJin, Jionghua (Judy)
date accessioned2017-05-09T01:20:13Z
date available2017-05-09T01:20:13Z
date issued2015
identifier issn1087-1357
identifier othermanu_137_02_021007.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/158646
description abstractWallthickness eccentricity is a major dimensional deviation problem in seamless steel tube production. Although eccentricity is mainly caused by abnormal process conditions in the crossroll piercing mill, most seamless tube plants lack the monitoring at the hot piercing stage but only inspect the quality of finished tubes using ultrasonic testing (UT) at the end of all manufacturing processes. This paper develops an online monitoring technique to detect abnormal conditions in the crossroll piercing mill. Based on an imagesensing technique, process operation condition can be extracted from the vibration signals. Optimal frequency features that are sensitive to tube wallthickness variation are then selected through the formulation and solution of a setcovering optimization problem. Hotelling T2 control charts are constructed using the selected features for online monitoring. The developed monitoring technique enables early detection of eccentricity problems at the hot piercing stage, which can facilitate timely adjustment and defect prevention. The monitoring technique developed in this paper is generic and can be widely applied to the hot piercing process of various products. This paper also provides a general framework for effectively analyzing imagebased sensing data and establishing the linkage between product quality information and process information.
publisherThe American Society of Mechanical Engineers (ASME)
titleOnline Eccentricity Monitoring of Seamless Tubes in Cross Roll Piercing Mill
typeJournal Paper
journal volume137
journal issue2
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4028440
journal fristpage21007
journal lastpage21007
identifier eissn1528-8935
treeJournal of Manufacturing Science and Engineering:;2015:;volume( 137 ):;issue: 002
contenttypeFulltext


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