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contributor authorWang, Junqiang
contributor authorHan, Jianmin
contributor authorDomblesky, Joseph P.
contributor authorLi, Zhiqiang
contributor authorZhao, Yingxin
contributor authorSun, Luyi
date accessioned2017-11-25T07:17:43Z
date available2017-11-25T07:17:43Z
date copyright2017/30/1
date issued2017
identifier issn1087-1357
identifier othermanu_139_05_051012.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234750
description abstractWhile coupled three-dimensional (3D) nonisothermal finite-element (FE) models can be used to predict distortion in weldments, computational costs remain high, and the development of alternate FE-based engineering approaches remains an important topic. In the present study, a plane stress model is proposed for analyzing angular distortion in butt-welded plates having appreciable levels of weld reinforcement. The approach is based on an analysis of contractile shrinkage forces and only requires knowledge of the plastic zone geometry to develop the input data needed for an isothermal linear elastic FE model. Results show that the proposed method significantly reduces the computational time and provides acceptable accuracy when plane stress conditions are satisfied. The effect of weld reinforcement was also analyzed using the method. The results indicate that the contraction force from the bead is dominant, and that the primary effect of the crown is to increase eccentricity of the in-plane contraction force. A steel liner from a nuclear plant cooling tower was also analyzed to demonstrate the method. The results showed that the model was able to predict the distortion pattern and demonstrated fair accuracy.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Plane Stress Model to Predict Angular Distortion in Single Pass Butt Welded Plates With Weld Reinforcement
typeJournal Paper
journal volume139
journal issue5
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4035469
journal fristpage51012
journal lastpage051012-10
treeJournal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 005
contenttypeFulltext


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