Abstract
Integrated computational materials engineering (ICME) provides a pathway to advance performance in structures through the use of physically-based models to better understand how manufacturing processes influence product performance. As one particular challenge, consider that residual stresses induced in fabrication are pervasive and directly impact the life of structures. For ICME to be an effective strategy, it is essential that predictive capability be developed in conjunction with critical experiments. In the present work, simulation results from a multi-physics model for gas metal arc welding are evaluated through x-ray diffraction using synchrotron radiation. A test component was designed with intent to develop significant gradients in residual stress, be representative of real-world engineering application, yet remain tractable for finely spaced strain measurements with positioning equipment available at synchrotron facilities. The experimental validation lends confidence to model predictions, facilitating the explicit consideration of residual stress distribution in prediction of fatigue life.
Original language | English |
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Pages (from-to) | 893-899 |
Number of pages | 7 |
Journal | JOM |
Volume | 69 |
Issue number | 5 |
DOIs | |
State | Published - May 1 2017 |
Externally published | Yes |
Funding
Funding for the InSit Center at CHESS is provided by The Office of Naval research (ONR), Grant Number N000141410785, Dr. William Mullins program manager. This work is based upon research conducted at the Cornell High Energy Synchrotron Source (CHESS) which is supported by the National Science Foundation and the National Institutes of Health/National Institute of General Medical Sciences under NSF Award DMR-1332208. Use of the Advanced Photon Source was supported by the US Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE- AC02-06CH11357.
Funders | Funder number |
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National Science Foundation | DMR-1332208 |
National Institutes of Health | |
Office of Naval Research | N000141410785 |
U.S. Department of Energy | |
National Institute of General Medical Sciences | |
Office of Science | |
Basic Energy Sciences | DE- AC02-06CH11357 |