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A Study on the Prediction Performance of the Temperature Field in the GMAW Process According to the Collocation Point Distribution of the Physics-Informed Neural Network (PINN): Younghoon Lee, Jaeheon Lee, Hwani Hwang, Seung Hwan Lee; J Weld Join. 2025;43(4):386-399. Published online August 31, 2025; DOI: https://doi.org/10.5781/JWJ.2025.43.4.5; Full text PubReader ePub PDF

DNN-Based Quality Monitoring of Al-Cu Dissimilar Dual-Beam Laser Welding Using Spectrometer and Photodiode Signals: Byeong-Ju Jin, Seung Hwan Lee, Hui Jun Lee, Young Kim; J Weld Join. 2025;43(4):377-385. Published online August 31, 2025; DOI: https://doi.org/10.5781/JWJ.2025.43.4.4; Full text PubReader ePub PDF

Development of Tensile Shear Strength Prediction Model for GMAW Welds Using Laser Vision Sensor and Gaussian Process Regression: Sol Mi Lee, Dong-Yoon Kim, Jong-Kyu Park, Daewon Kim, Jiyoung Yu, Seung Hwan Lee; J Weld Join. 2025;43(4):356-363. Published online August 31, 2025; DOI: https://doi.org/10.5781/JWJ.2025.43.4.2; Full text PubReader ePub PDF

A Study on Real-Time Process Defect Monitoring Based on Object Detection in Coaxial LW-DED: Taesoon Jeong, Taehwan Ko, Seong Hun Ji, Hyub Lee, Seung Hwan Lee; J Weld Join. 2025;43(4):343-355. Published online August 31, 2025; DOI: https://doi.org/10.5781/JWJ.2025.43.4.1; Full text PubReader ePub PDF

Characterization of Cold-Sprayed Aluminum-Stainless Steel Dissimilar Laser Welds and Deep Learning-Based Weld Penetration Classification: Yeong Gil Jo, Seung Hwan Lee, Don Hyun Choi, Minjung Kang; J Weld Join. 2025;43(2):194-204. Published online April 30, 2025; DOI: https://doi.org/10.5781/JWJ.2025.43.2.9
Cited By 1; Full text PubReader ePub PDF

Analysis of Resistance Spot Welding Characteristics with Flat Electrodes for Reducing Indentation in Excavator Exterior Parts: Young-Min Kim, Seung Hwan Lee, Insung Hwang; J Weld Join. 2025;43(2):176-184. Published online April 30, 2025; DOI: https://doi.org/10.5781/JWJ.2025.43.2.7; Full text PubReader ePub PDF

Quality Prediction Algorithm for Flow Drilling Screw Joining of 590 MPa High-Strength Steel and 6xxx Series Aluminum Alloy: Yu Ri Choi, Dong Yoon Kim, Jun Myoung ang, Ji Young Yu, Seung Hwan Lee; J Weld Join. 2024;42(4):366-377. Published online August 31, 2024; DOI: https://doi.org/10.5781/JWJ.2024.42.4.4
Cited By 1; Full text PubReader ePub PDF

Review of Recent Additive Manufacturing and Welding Research with Application of Physics-Informed Neural Networks: Taehwan Ko, Heuisu Kim, Yeoungcheol Shin et al.; J Weld Join. 2024;42(4):357-365. Published online August 31, 2024; DOI: https://doi.org/10.5781/JWJ.2024.42.4.3
Cited By 5; Full text PubReader ePub PDF

Detection of Hot Cracking for 6000 Series Aluminum Alloys using a Multi-Sensor Based Deep Learning Model: Geonmin Kim, Jaeheon Lee, Seung Hwan Lee; J Weld Join. 2024;42(4):345-356. Published online August 31, 2024; DOI: https://doi.org/10.5781/JWJ.2024.42.4.2
Cited By 1; Full text PubReader ePub PDF

Review on Welding Process Monitoring Based on Deep Learning using Time-Series Data: Jaeheon Lee, Hwani Hwang, Taesoon Jeong et al.; J Weld Join. 2024;42(4):333-344. Published online August 31, 2024; DOI: https://doi.org/10.5781/JWJ.2024.42.4.1
Cited By 7; Full text PubReader ePub PDF

Effects of Welding Parameters on Droplet Transfer and Bead Geometry in Laser Welding with Aluminum and Stainless Steel Filler Wires: Joonghyeon Shin, Seung Hwan Lee, Minjung Kang; J Weld Join. 2023;41(5):342-348. Published online October 31, 2023; DOI: https://doi.org/10.5781/JWJ.2023.41.5.4
Cited By 2; Full text PubReader ePub PDF

Optimization of Welding Process Parameter for Gap Response in Aluminum GMAW Using Taguchi Method: Hyojun Choi, Taehoon Kang, Jiyoung Yu, Young-Min Kim, Seung Hwan Lee, Dong-Yoon Kim; J Weld Join. 2023;41(1):28-36. Published online February 17, 2023; DOI: https://doi.org/10.5781/JWJ.2023.41.1.3
Cited By 6; Full text PubReader ePub PDF

Effects of Shielding Gases on the Weldability of Laser Welded Austenitic Stainless Steel: Yeonho Kwak, Seung Hwan Lee, Minjung Kang; J Weld Join. 2022;40(6):525-532. Published online December 30, 2022; DOI: https://doi.org/10.5781/JWJ.2022.40.6.8
Cited By 5; Full text PubReader ePub PDF

Study of Convolution Neural Network Based Deep Learning to Classify the Quality of Self-Piercing Riveting Joint: Min Gyu Kim, Tae Hyun Lee, Seung Hwan Lee, Cheol Hee Kim, Dong Hyuck Kam; J Weld Join. 2022;40(6):502-511. Published online December 30, 2022; DOI: https://doi.org/10.5781/JWJ.2022.40.6.6
Cited By 1; Full text PubReader ePub PDF

Resistance Spot Weldability of Aluminum Alloy with 6 wt.% Magnesium: Mingyu Kim, Sehyeon Kim, Insung Hwang et al.; J Weld Join. 2021;39(5):480-488. Published online October 27, 2021; DOI: https://doi.org/10.5781/JWJ.2021.39.5.3
Cited By 4; Full text PubReader ePub PDF

Volume 44, No. 1

Journal of
Welding and
Joining

Print ISSN: 2466-2232
Online ISSN: 2466-2100

MOST VIEWED MOST CITED

15,771	Recent Progress of TGV Technology for High Performance Semiconductor Packaging
7,062	Review on Welding Process Monitoring Based on Deep Learning using Time-Series Data
6,877	Review on Laser Welding Technology on Aluminum and Copper Dissimilar Materials for Secondary Batteries Assembly
6,741	Effects of Aging Treatment on Microstructure, Mechanical Properties, and Wear Characteristics of 17-4PH Produced by Selective Laser Melting
5,266	Review of Recent Additive Manufacturing and Welding Research with Application of Physics-Informed Neural Networks

Cited By 8	Recent Progress of TGV Technology for High Performance Semiconductor Packaging
Cited By 7	Research Trends in the Directed Energy Deposition Method of Heterogeneous Materials
Cited By 7	Review on Welding Process Monitoring Based on Deep Learning using Time-Series Data
Cited By 6	Analyzing the Influence of Welding Process Selection on Residual Stresses in Tube-to-Tubesheet Welded Joints
Cited By 5	Effect of Cr on the Hot Ductility of Austenitic Fe-Mn-Al-C Lightweight Steel

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