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WoongJo Choi
WoongJo Choi
Pacific Northwest National Labaratory
Verified email at pnnl.gov
Title
Cited by
Cited by
Year
The effects of welding parameters and backing plate diffusivity on energy consumption in friction stir welding
WJ Choi, JD Morrow, FE Pfefferkorn, MR Zinn
Procedia Manufacturing 10, 382-391, 2017
152017
Welding parameter maps to help select power and energy consumption of friction stir welding
WJ Choi, JD Morrow, FE Pfefferkorn, MR Zinn
Journal of Manufacturing Processes 33, 35-42, 2018
122018
Dissimilar joining of ZEK100 and AA6022 for automotive application
H Das, P Upadhyay, SS Kulkarni, W Choi
Friction stir welding and processing XI, 115-124, 2021
42021
Microstructure and mechanical properties of friction stir welded Haynes 282
M Komarasamy, C Smith, J Darsell, W Choi, S Jana, G Grant
Materials Characterization 182, 111558, 2021
12021
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps
E Coda, N Courts, C Wight, L Truong, WJ Choi, C Godfrey, T Emerson, ...
arXiv preprint arXiv:2203.08189, 2022
2022
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing
L Truong, WJ Choi, C Wight, L Coda, T Emerson, K Kappagantula, ...
arXiv preprint arXiv:2112.01687, 2021
2021
A Topological-Framework to Improve Analysis of Machine Learning Model Performance
H Kvinge, C Wight, S Akers, S Howland, W Choi, X Ma, L Gosink, E Jurrus, ...
arXiv preprint arXiv:2107.04714, 2021
2021
Removing Rotational Variations from Shoulder Thermocouples in Friction Stir Welding
BS Taysom, WJ Choi, K Ross
Friction Stir Welding and Processing XI, 105-111, 2021
2021
In-process Monitoring and Data Analysis for Quality Control of Friction Stir Welding
WJ Choi
The University of Wisconsin-Madison, 2018
2018
Dataset to Dataspace: A Topological-Framework to Improve Analysis of Machine Learning Model Performance
H Kvinge, C Wight, S Akers, S Howland, W Choi, X Ma, L Gosink, E Jurrus, ...
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