Showing results 5921 to 5940 of 12200
LPG - DME 압축착화 엔진의 성층화 영향 염기태; 배충식, 한국자동차공학회 논문집, v.16, no.1, pp.78 - 85, 2008-01 |
LPG 액상분무의 분열 및 혼합특성 최재준; 최동석; 남창호; 배충식, 한국자동차공학회 논문집, v.10, no.5, pp.90 - 97, 2002-10 |
LPG 액상분사 엔진에서 아세톤 PLIF를 이용한 연료분포 측정기법 연구 박승재; 강건용; 배충식; 허환일; 오승묵, 한국자동차공학회 논문집, v.12, no.1, pp.74 - 82, 2004-01 |
LPG 예혼합 압축 착화 엔진의 배기가스 및 연소 특성 염기태; 배충식; 장진영, 한국자동차공학회 논문집, v.14, no.4, pp.149 - 156, 2006-07 |
LPG-톨루엔 겸용 저온 촉매버너의 연소특성에 관한 실험적 연구 신현동; 강성규; 류인수; 서용석, 대한기계학회논문집 B, v.22, no.11, pp.1538 - 1546, 1998-01 |
LQR Control of an All-Wheel Drive Vehicle Considering Variable Input Constraint Jung, Hojin; Jung, Dohyun; Choi, Seibum B., IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, v.30, no.1, pp.85 - 96, 2022-01 |
LS-DYNA를 이용한 원자력발전소의 로드블록에 대한 차량 충돌 시뮬레이션![]() 이승규; 김동욱; 이필승, 한국전산구조공학회논문집, v.36, no.2, pp.113 - 120, 2023-04 |
LSM/YSZ double-layered cathode properties on YSZ electrolyte of solid oxide fuel cell 배중면, KCERS 2006 ANNUAL FALL CONFERENCE, v.0, no.0, pp.0 - 0, 2006 |
Lumen boundaries extracted from coronary computed tomography angiography on computed fractional flow reserve (FFRCT): validation with optical coherence tomography Uzu, Kenzo; Otake, Hiromasa; Choi, Gilwoo; Toba, Takayoshi; Kim, Hyun Jin; Roy, Arjun; Schaap, Michiel; et al, EUROINTERVENTION, v.14, no.15, pp.E1609 - E1618, 2019-02 |
Lumped Disturbance Compensation using Extended Kalman Filter for Permanent Magnet Linear Motor System Kim, Jonghwa; Cho, Kwanghyun; Choi, Seibum B, INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.14, no.5, pp.1244 - 1253, 2016-10 |
Lyapunov 강인 안정성 조건을 이용한 강인 최적 뱅뱅 제어기 임채욱; 박영진; 문석준; 박윤식, 제어.로봇.시스템학회 논문지, v.12, no.5, pp.411 - 418, 2006-05 |
M-K 모델 기반의 박판금속 성형성 평가에서 물성의 영향에 대한 해석적 연구 Y. Lou; 김석봉; 허훈, 소성가공, v.19, no.7, pp.393 - 398, 2010-11 |
MACHINABILITY OF CARBON-FIBER EPOXY COMPOSITE-MATERIALS IN TURNING Ki Soo Kim; Lee, Dai Gil; Kwak, Yoon Keun; Suk Namgung, JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, v.32, no.3, pp.553 - 570, 1992-08 |
Machine Learning for Object Recognition in Manufacturing Applications Yun, Huitaek; Kim, Eunseob; Kim, Dong Min; Park, Hyung Wook; Jun, Martin Byung-Guk, INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.24, no.4, pp.683 - 712, 2023-04 |
Machine learning powered sketch aided design via topology optimization Zhang, Weisheng; Wang, Yue; Youn, Sung-Kie; Guo, Xu, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.419, 2024-02 |
Machine learning-assisted optimization of TBBPA-bis-(2,3-dibromopropyl ether) extraction process from ABS polymer Wan, Yan; Zeng, Qiang; Shi, Pujiang; Yoon, Yong-Jin; Tay, Chor Yong; Lee, Jong-Min, CHEMOSPHERE, v.287, 2022-01 |
Machine learning-based constitutive model for J2- plasticity Jang, DP; Fazily, Piemaan; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF PLASTICITY, v.138, pp.102919, 2021-03 |
Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review Lee, Junhyeong; Park, Donggeun; Lee, Mingyu; Lee, Hugon; Park, Kundo; Lee, Ikjin; Ryu, Seunghwa, MATERIALS HORIZONS, v.10, no.12, pp.5436 - 5456, 2023-12 |
Machine learning-based optimization of segmented thermoelectric power generators using temperature-dependent performance properties Demeke, Wabi; Ryu, Byungki; Ryu, Seunghwa, APPLIED ENERGY, v.355, 2024-02 |
Machine learning-driven stress integration method for anisotropic plasticity in sheet metal forming Fazily, Piemaan; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF PLASTICITY, v.166, 2023-07 |
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