Journal Papers

2023

[12] Jaehee Shin 1, Hyun Ahn 1, Gwang-Hyeon Mun, Jeangmin Lee, Pouria Zaghari, Young-Min Park, Jinhyoung Park, and Jong Eun Ryu*, Dong-Won Jang*. Deep Neural Network-based Temperature Mapping Mapping Technique for Heat Sink on Electronic Devices using Local Thermocouple Sensors (submitted)

[11] Lee Kyunghoon, Lee, SB. & Jang, D-W.* Fatigue life of silver thin film on pet substrate under electrical current for flexible electronics applications. J Mech Sci Technol 37, 6601–6607 (2023). https://doi.org/10.1007/s12206-023-1131-0 

[10] Heo J, Park M, Kim J-M, Jang D-W*, Han J-H*. Effect of Flexible Operation on Residual Life of High-Temperature Components of Power Plants. Processes. 2023; 11(6):1679. https://doi.org/10.3390/pr11061679

2022

[9] Yong-Seok Lee, Seongwoo Kim, Dong-Won Jang*, Soon-Bok Lee*, Mechanism of crack initiation and propagation in high-alloy steel slabs during the cooling and scarfing processes after the continuous casting process, Mechanics of Materials, Volume 166, 2022, 104240, https://doi.org/10.1016/j.mechmat.2022.104240.

2021

[8] Lee, Y.-S.; Jang, D.-W*. Optimization of Neural Network-Based Self-Tuning PID Controllers for Second Order Mechanical Systems. Appl. Sci. 2021, 11, 8002. https://doi.org/10.3390/app11178002 

[7] Jang, D.-W., Kang, J.-S., Lim, J.-Y*. (2021). A feasible strain-history extraction method using machine learning for the durability evaluation of automotive parts. Journal of Mechanical Science and Technology 35 (11) (2021) 5117~5125. https://link.springer.com/article/10.1007/s12206-021-1028-8

Before MJU

[6] Failure detection technique under random fatigue loading by machine learning and dual sensing on symmetric structure, DW Jang, S Lee, JW Park, DC Baek, International Journal of Fatigue 114, 57-64

[5] Self-heating-induced deterioration of electromechanical performance in polymer-supported metal films for flexible electronics, DW Jang, JH Lee, A Kim, SB Lee, SG Hong, Scientific reports 7 (1), 1-10

[4] Fracture mechanism and electromechanical behavior of chemical vapor deposited graphene on flexible substrate under tension, JH Lee, DW Jang, SG Hong, BC Park, JH Kim, HJ Jung, SB Lee, Carbon 118, 475-484

[3] Evaluating the reliability of the cylinder liner of a low-speed marine engine subjected to high-cycle fatigue with high mean stress, JH Lee, DW Jang, SG Hong, SB Lee, Journal of Mechanical Science and Technology 31 (4), 1639-1644

[2] Fatigue life evaluation of pinion gears for the reliability of pitch systems in wind turbines, SW Kim, YS Lee, DW Jang, J Choi, SB Lee, Journal of mechanical science and technology 31 (2), 753-758

[1] Study on fracture behavior of individual InAs nanowires using an electron-beam-drilled notch, S Choi, JH Lee, MW Pin, DW Jang, SG Hong, B Cho, SJ Lee, JS Jeong, ..., RSC advances 7 (27), 16655-16661

Conference Papers

[8] UR2023

[7] IEEE-NEMS 2023

[6] 2022 대한기계학회 학술대회 유망과학기술자 세션 교육부문 '기계공학에서의 인공지능 교육 사례 소개' 

[5] 2022 대한기계학회 신뢰성부문 춘계 ' ' 

[4] 2021 대한기계학회 학술대회 유망과학기술자 세션 신뢰성부문 '기계시스템에서의 인공신경망 응용연구: 모니터링과 자동화'

[3] KSME, 2021, Nov (수정중)

[2] 장동원,  강종수, 임재용, 측정이 쉬운 센서와 머신러닝을 통한 자동차 주요 부품의 변형률 이력 예측 연구, KSME 신뢰성 부문, 2021, Apr.

[1] 장동원,변동 가능한 변수를 갖는 시스템의 PID 파라미터를 추천하는 인공지능 개발,  CDE 학회, 2020. Nov.

Patent

[1] 나노물질의 광학적 특성을 이용한 (수정중)