http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Finite Element Investigation of Instability in Hot Bar Rolling Process
Muhammad Awais(무하마드 아와이스),Ho-Won Lee(이호원),Hak-Young Kim(김학영),Yong-Taek Im(임용택),Sang-Min Byon(변상민),Hae-Doo Park(박해두) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.6
In this study, the effect of processing parameters on instability of the steel (S10C) during the hot bar rolling process was investigated numerically. Plastic work was used for deriving a criterion to judge a surface nonuniform deformation due to the instability. The processing map was formulated based on the instability criterion derived from the plastic work approach and the experimental observations obtained from the hot compression tests. The effects of roll pass geometry and temperature were examined with the help of a parametric study by employing the processing map with three dimensional rigid thermo-viscoplastic finite element analyses based on the plastic work approach proposed in the present investigation. Based on this approach, processing conditions for reducing the instability were determined. According to this investigation, the roll pass design was determined and the initial processing temperature in the hot bar rolling process recommended for reducing flow instability of the process.
Channel Estimation for IRS-Assisted Communication with Deep Learning
Muhammad Awais(무하마드 아와이스),Moldir Yerzhanova(몰디르 예르자노바),Yun Hee Kim(김윤희) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
This paper revisits a deep learning based channel estimation method proposed for wireless communication aided by an intelligent reflection surface (IRS). The method applies a deep denoising network to estimate the cascaded IRS channel toward the optimal estimator. We investigate the network parameter and training conditions for better performance.