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contributor authorY. M. Zhang
contributor authorR. Kovacevic
contributor authorL. Li
date accessioned2017-05-08T23:54:03Z
date available2017-05-08T23:54:03Z
date copyrightNovember, 1997
date issued1997
identifier issn1087-1357
identifier otherJMSEFK-27304#631_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/119018
description abstractControl of weld penetration is currently one of the most important and crucial research issues in the area of welding. The weld pool can provide accurate and instantaneous information about the weld penetration, however, the establishment and confirmation of the correlation between weld pool and weld penetration require numerous accurate measurements and suitable geometrical modeling of weld pool. A normalized model is proposed to characterize the weld pool two-dimensionally. More than 6,000 weld pools are measured from experiments using a developed real-time weld pool sensing system. A data analysis shows that the weld penetration is correlated with the weld pool which is specified by the three characteristic parameters proposed in the study. However, the correlation is nonlinear. To approximate the complicated nonlinearity, neural networks are used. Comparative modeling trails show that the weld penetration can be more accurately calculated if the adjacent weld pools are also used. This implies that the correlation between the weld penetration and weld pool is dynamic. Hence, an on-line nonlinear dynamic estimation system is developed to estimate the weld penetration.
publisherThe American Society of Mechanical Engineers (ASME)
titleDynamic Estimation of Full Penetration Using Geometry of Adjacent Weld Pools
typeJournal Paper
journal volume119
journal issue4A
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.2831197
journal fristpage631
journal lastpage643
identifier eissn1528-8935
keywordsMeasurement
keywordsWelding
keywordsModeling
keywordsArtificial neural networks AND Geometry
treeJournal of Manufacturing Science and Engineering:;1997:;volume( 119 ):;issue: 4A
contenttypeFulltext


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