http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Chenguang Wang,Youping Yi,Shiquan Huang,Fei Dong,Hailin He,Ke Huang,Yanzhen Jia 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.12
Cryogenic forming, a new technology used to manufacture aluminum alloy thin-walled parts, has attracted much attentionin recent years. This work presents an experimental and theoretical study of 2024-O aluminum alloy sheet forming limit atcryogenic temperatures and provides an effective method for accurate prediction of forming limit curves (FLCs) at cryogenictemperatures. Uniaxial tensile experiments at different temperatures were carried out between 20 °C and − 196 °C to obtainthe constitutive equation of the material at cryogenic temperatures. The Marciniak–Kuczynski (M–K) model was used topredict FLCs at cryogenic and room temperatures. The constitutive equation and yield functions are used in the model. Theeffects of different yield criteria (Mises, Hill-48, Barlat89, Gotoh, and Yld2000-2d) on the prediction results of FLC areanalyzed. These prediction results were verified by the Nakazima test, and it was found that the Yld2000-2d yield criterion isthe most accurate for FLC prediction. Finally, the M–K model is combined with this criterion to predict the FLC at differenttemperatures. It was found that the lower the temperature, the higher the FLC curve and the better the sheet formability, andthe increase is more obvious at extremely low temperatures.
Chenguang Huang,Lingling Lu,Lijuan Liao,Yanpeng Wei,Yanchi Liu,Xi Wang 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.2
An optimal sensor placement (OSP) method based on structural subsection technique (SST) and model reduction technique was proposed for modal identification of truss structures, which was conducted using genetic algorithm (GA). The constraints of GA variables were determined by SST in advance. Subsequently, according to model reduction technique, the optimal group of master degrees of freedom and the optimal objective function value were obtained using GA in a case of the given number of sensors. Correspondingly, the optimal number of sensors was determined according to optimal objective function values in cases of the different number of sensors. The proposed method was applied on a scaled jacket offshore platform to get its optimal number of sensors and the corresponding optimal sensor layout. Then modal kinetic energy and modal assurance criterion were adopted to evaluate vibration energy and mode independence property. The experiment was also conducted to verify the effectiveness of the selected optimal sensor layout. The results showed that experimental modes agreed reasonably well with numerical results. Moreover the influence of the proposed method using different optimal algorithms and model reduction technique on optimal results was also compared. The results showed that the influence was very little.
Crowding-out Effect of SOEs on Market-based Organizational Forms in China: Implication for Korea
Chenguang Huang,윤경환,Ruize Cai 한국무역연구원 2022 무역연구 Vol.18 No.4
Purpose We examine how an old organizational form interacts with a new one to maintain the former’s status and legitimacy during the change process in institutional logics. We focus on how state-owned enterprises (SOEs) crowd out three market-based organizational forms to maintain legitimacy and status during institutional change from state logic to market logic in China. In addition, we examine the moderating effects of export intensity and firm age of market-based enterprises on the aforementioned relationship. Design/Methodology/Approach To test our hypotheses, we use a panel data set on manufacturing firms in China from 2011 to 2015. We utilize event history analysis because our dependent variable is the exit of market-based firms. We select the parametric Weibull model because it outperforms other survival models. Findings Our results generally support our hypotheses. SOEs crowd out market-based organizational forms mainly owing to identity conflict. SOEs are likely to be hostile toward market-based firms with strong market identity, such as those with high export intensity and old market-based firms. Research Implications Findings provide implications for policy makers and market-based enterprise managers in Korea. We highlight that Chinese and Korean SOEs are not precisely comparable but they are similar in several ways. We propose that policy makers in Korea develop and implement policy measures to control SOEs’ negative actions toward market-based firms and to dilute SOEs’ state identity. Lastly, we suggest that Korean market-based enterprise managers consider the effect of market identity on their survival and build connections with the government to strengthen market-based firms’ competitiveness and legitimacy.
Online Robot Reference Trajectory Adaptation for Haptic Identification of Unknown Force Field
Dianye Huang,Chenguang Yang,Ning Wang,Andy Annamalai,Chun-Yi Su 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.1
In this paper, a novel online reference trajectory adaptation algorithm is developed, which aims to balance the interactive force and the deviation when the robots interact with an unknown environment. The algorithm first estimates the online parameters of the environmental dynamic model using the Lyapunov-based method. The desired trajectory is then derived by obtaining a tradeoff between the cost of strictly tracking the reference trajectory and the cost of tracking deviation. Simulation studies are carried out to verify the validity of the proposed algorithm. Simulations show that the desired trajectory tends to go around the contour of the force field when more weight is placed on the cost of interaction force, which can be used for haptic identification; identifying contours of the force field.
Lu, Lingling,Wang, Xi,Liao, Lijuan,Wei, Yanpeng,Huang, Chenguang,Liu, Yanchi Techno-Press 2015 Smart Structures and Systems, An International Jou Vol.15 No.2
An optimal sensor placement (OSP) method based on structural subsection technique (SST) and model reduction technique was proposed for modal identification of truss structures, which was conducted using genetic algorithm (GA). The constraints of GA variables were determined by SST in advance. Subsequently, according to model reduction technique, the optimal group of master degrees of freedom and the optimal objective function value were obtained using GA in a case of the given number of sensors. Correspondingly, the optimal number of sensors was determined according to optimal objective function values in cases of the different number of sensors. The proposed method was applied on a scaled jacket offshore platform to get its optimal number of sensors and the corresponding optimal sensor layout. Then modal kinetic energy and modal assurance criterion were adopted to evaluate vibration energy and mode independence property. The experiment was also conducted to verify the effectiveness of the selected optimal sensor layout. The results showed that experimental modes agreed reasonably well with numerical results. Moreover the influence of the proposed method using different optimal algorithms and model reduction technique on optimal results was also compared. The results showed that the influence was very little.