Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Hyukjoon Kwon"'
Autor:
Yosep Kim, Ho Young Jeong, Joonhee Park, Kyungmin Kim, Hyukjoon Kwon, Gyeongjun Ju, Naksoo Kim
Publikováno v:
Journal of Materials Research and Technology, Vol 27, Iss , Pp 8228-8243 (2023)
In this study, we investigated the hot deformation behavior of Ti–6Al–2Sn–4Zr–2Mo (Ti-6242) alloy and propose a method to derive optimal hot process parameters for grain refinement and avoidance of flow instability. Microstructural Risk Index
Externí odkaz:
https://doaj.org/article/7442051cdcb64781affa19fbafcacc95
Publikováno v:
Journal of Materials Research and Technology, Vol 26, Iss , Pp 5576-5593 (2023)
This study proposes a method to determine cogging process parameters aiming at homogeneous effective strain distribution and grain size uniformity and refinement during the manufacturing M50-bearing steel billets. The design parameters were selected
Externí odkaz:
https://doaj.org/article/f0453db0d6ae4b4c8cf743e635afd359
Publikováno v:
Results in Engineering, Vol 19, Iss , Pp 101298- (2023)
Electric vehicles (EVs) offer benefits in terms of reducing emissions and saving energy over other conventional vehicles. There have been various studies on EVs for energy efficiency and driving performance improvement. As an area of EV systems, dual
Externí odkaz:
https://doaj.org/article/ae41f14508454d7290539801e82cfa57
Publikováno v:
IEEE Access, Vol 10, Pp 2591-2601 (2022)
Hybrid powertrains have widely been developed as eco-friendly system and commercialized in the passenger vehicle market with clear benefits over conventional powertrains. Accordingly, there have been various research topics on architectures of hybrid
Externí odkaz:
https://doaj.org/article/57ebf7e73a224b69bbf98478159647ee
Autor:
Hyukjoon Kwon
Publikováno v:
IEEE Access, Vol 10, Pp 15163-15174 (2022)
In this study, a control map generation strategy for hybrid electric vehicles based on machine learning (ML) with optimization data was studied using a multimode hybrid electric vehicle. The optimization data from dynamic programming were used to pro
Externí odkaz:
https://doaj.org/article/b9396877f70a46bab5d172c6568b6433
Autor:
Youngsic Jeon, Taejung Kim, Hyukjoon Kwon, Jeong-Kook Kim, Young-Tae Park, Jungyeob Ham, Young-Joo Kim
Publikováno v:
Cancers, Vol 15, Iss 15, p 3987 (2023)
Cannabidiol (CBD), a primary constituent in hemp and cannabis, exerts broad pharmacological effects against various diseases, including cancer. Additionally, cabozantinib, a potent multi-kinase inhibitor, has been approved for treating patients with
Externí odkaz:
https://doaj.org/article/dd63821405c34d1b9f41e9fd5acb3a0d
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 7, Iss 3, p 117 (2023)
In this paper, a void closure model applicable to the general hot forming process has been proposed. Through the representative volume element (RVE) method, the influences of void shape, orientation, and stress state on void closure tendency were ana
Externí odkaz:
https://doaj.org/article/fc5f981304cc4211991c780df7924af5
Publikováno v:
Metals, Vol 13, Iss 5, p 921 (2023)
The microstructure of forged products significantly impacts their properties, and defects or carbide distribution are not visible to the naked eye. Isothermal compression tests on M50 steel with a Gleeble 3500 tester were conducted to study microstru
Externí odkaz:
https://doaj.org/article/5287df1559804447b636e4534dfd8c14
Autor:
Nooruddin Bin Sadiq, Hyukjoon Kwon, Nam Il Park, Muhammad Hamayun, Je-Hyeong Jung, Seung-Hoon Yang, Soo-Won Jang, Seda Nur Kabadayı, Ho-Youn Kim, Young-Joo Kim
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 9, p 7768 (2023)
Korean ginseng is a source of functional foods and medicines; however, its productivity is hindered by abiotic stress factors, such as light. This study investigated the impacts of darkness and different light wavelengths on the metabolomics and anti
Externí odkaz:
https://doaj.org/article/cd5179f768144c56ac60f73f441d5c18
Publikováno v:
Quantum, Vol 6, p 838 (2022)
Outcome probability estimation via classical methods is an important task for validating quantum computing devices. Outcome probabilities of any quantum circuit can be estimated using Monte Carlo sampling, where the amount of negativity present in th
Externí odkaz:
https://doaj.org/article/5c7e7de353b0419db3a0d4a4a6abc074