Pedigreed Material Property Data for Residual Stress and Distortion Modeling of Naval Steel Weldments

Bibliographic Details
Main Author:	Semple, Jennifer K., Semple
Language:	English
Published:	The Ohio State University / OhioLINK 2018
Subjects:	Engineering Materials Science DH36 DH-36 steel metallurgy FEA SYSWELD weld distortion residual stress
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=osu1533813179740352

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-osu15338131797403522021-08-03T07:08:04Z Pedigreed Material Property Data for Residual Stress and Distortion Modeling of Naval Steel Weldments Semple, Jennifer K., Semple Engineering Materials Science DH36 DH-36 steel metallurgy FEA SYSWELD weld distortion residual stress A long-standing challenge in manufacturing of large-scale weldments is the control of welding-induced distortion and residual stress. It is a particularly challenging problem in Naval applications, where welded plates are often large and thin. Computational weld mechanics are increasingly utilized for optimizing welding process and sequence to achieve sound weld quality. An essential set of input to these weld models is the material property database. Oftentimes such material property data, especially that at elevated temperatures, is not available for many Naval steels. Even when it is available, the data is likely tested on steels from different producers or different heats, thus introducing uncertainty in the property data due to variations in base steel chemistry and microstructure. Hence, there is a significant need to develop a pedigreed material database including metallurgical, thermophysical, and thermomechanical data that have all been gathered from the same base steel to improve the accuracy of weld modeling.As a first step toward developing a pedigreed material database for current and future generations of Naval steels, ABS grade DH-36 steel, one of the most commonly used materials in Naval applications, was studied in the present research. Particularly, the DH-36 steel was subjected to a battery of experimental tests at various temperatures and heating/cooling rates to generate material property data needed for computational weld modeling. A weld model of coupon-scale tee joints was developed based on a commercial finite element analysis code with the tested material property data. The predicted distortion and residual stress were compared to respective experimental results measured by research partners. Furthermore, sensitivity analyses were performed to quantify the effect of model inputs such as yield strength and film loss coefficient on the calculated values of residual stress and distortion.The predicted residual stress and distortion for the tee joints made of DH-36 steel were consistent with those measured experimentally. The sensitivity analyses showed that the yield strength had a small effect on the predicted distortion but a relatively large effect on the predicted residual stresses. Particularly, an increase in yield strength by 25% increased the predicted distortion by about 5%, increased the peak longitudinal stress by about 14%, and decreased the peak transverse stress by about 35%. Interestingly, the distortion was found to be strongly influenced by the through-thickness temperature gradient around the weld heat-affected zone, which in turn was affected by the film loss to the backing table. The steeper such temperature gradient, the larger the predicted distortion.In summary, the various experimental tests and computational models, which were used for DH-36 steel weldments in this research, are important to build a comprehensive, pedigreed material database of current and future generations of Naval steels. Such pedigreed material database will be essential for achieving sound welded Naval structures based on computational weld mechanics. 2018 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1533813179740352 http://rave.ohiolink.edu/etdc/view?acc_num=osu1533813179740352 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Engineering Materials Science DH36 DH-36 steel metallurgy FEA SYSWELD weld distortion residual stress
spellingShingle	Engineering Materials Science DH36 DH-36 steel metallurgy FEA SYSWELD weld distortion residual stress Semple, Jennifer K., Semple Pedigreed Material Property Data for Residual Stress and Distortion Modeling of Naval Steel Weldments
author	Semple, Jennifer K., Semple
author_facet	Semple, Jennifer K., Semple
author_sort	Semple, Jennifer K., Semple
title	Pedigreed Material Property Data for Residual Stress and Distortion Modeling of Naval Steel Weldments
title_short	Pedigreed Material Property Data for Residual Stress and Distortion Modeling of Naval Steel Weldments
title_full	Pedigreed Material Property Data for Residual Stress and Distortion Modeling of Naval Steel Weldments
title_fullStr	Pedigreed Material Property Data for Residual Stress and Distortion Modeling of Naval Steel Weldments
title_full_unstemmed	Pedigreed Material Property Data for Residual Stress and Distortion Modeling of Naval Steel Weldments
title_sort	pedigreed material property data for residual stress and distortion modeling of naval steel weldments
publisher	The Ohio State University / OhioLINK
publishDate	2018
url	http://rave.ohiolink.edu/etdc/view?acc_num=osu1533813179740352
work_keys_str_mv	AT semplejenniferksemple pedigreedmaterialpropertydataforresidualstressanddistortionmodelingofnavalsteelweldments
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Pedigreed Material Property Data for Residual Stress and Distortion Modeling of Naval Steel Weldments

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