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Hot Stamping Die Design for Vehicle Door Beams using Ultra-High Strength Steel
Chao Jiang,Zhongde Shan,Bailiang Zhuang,Milan Zhang,Ying Xu 한국정밀공학회 2012 International Journal of Precision Engineering and Vol. No.
The energy saving and safety is the eternal theme of development of automobile industry. Ultra-high strength steel automotive body structures of hot stamping have been widely used with these dual advantages that reducing vehicle weight while enhancing safety performance at the same time. The forming and quenching integration die was investigated in this paper with a vehicle door beam as an example, especially the whole die structure and hot stamping process were optimized through numerical simulation of die strength, cooling pipe arrangement and other related factors, and beam samples with tensile strength 1550Mpa, elongation rate 6.5% and shape accuracy of ±0.3mm were produced by this die. Moreover, the stiffness increased by 2.2 times than the original tube beam and 3.8 times of the intensity, which led to full score in C-NCAP Crash Test. By reducing the thickness cross section and the depth of drawing comparing with the original tubular beam,door beam weight could be reduced by 9.32%, which had effective energy-saving and emission-reduction effect.
Modification of a Smoking Motivation Questionnaire for Chinese Medical Students
Jiang, Chao,Sun, Wen-Jie,Wan, Yan-Chun,Wei, Ming-Wei,Mu, Yong-Ping,Tarver, Siobhan L.,Gao, Yong-Qing,Hu, Tian,Xu, Chao,Gordon, James,Feng, Cindy Xin,Wen, Yu-Feng Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.6
Introduction: Smoking prevalence among the medical students is high in China. Therefore, understanding the smoking motivations of medical students is crucial for smoking control, but currently there are no scales questionnaires customized for probing the smoking motivations of medical students. This aim of study was to test and modify a questionnaire for investigating smoking motivations among medical students. Methods: A cross-sectional survey was conducted among 1,125 medical students at Xuzhou Medical College in China in 2012.The model fit and validity was assessed by confirmatory factor analysis (CFA) and the reliability was tested by single-item reliability, composite reliability, and item-total correlation. Results: The prevalence of smoking was 9.84 % among study population. In the modified scales, the global fit indices identified a CFI value of 0.96, TLI was 0.96, and the RMSEA was 0.063. CFA supported the two dimensional structure of the instrument. The average variance extracted ranged from 0.45 to 0.62. All single-item reliability scores were greater than 0.20, and the composite reliability ranged from 0.74 to 0.91. Conclusion: Modified scales could be the preliminary instrument used in evaluating the smoking motivations of medical students. However, it should be further assessed using other forms and methods of validity and reliability, additional motivations of smoking, and the survey of other medical colleges in China.
Autonomous Lane Keeping System: Lane Detection, Tracking and Control on Embedded System
Chao Jiang,Mingjie Liu,Xutao Deng,Zhen Lei,Changhao Piao 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.1
Autonomous lane keeping system is the key technique to autonomous driving. It includes lane detection, lane tracking and control. It has been developed enormously, but it is still a challenge work due to diff erent factors such as illumination, general hyper-parameters setting for diff erent road condition and lane boundary correction. In addition, due to imbalance on accuracy and processing time, it is hard to conduct in embedding system. In this study, an autonomous lane keeping system is developed based on deep learning. First, a lane detection and tracking system is designed, which is robust to lane boundary correction. Especially for lane detection, a light-weight network named as LaneFCNet is proposed, which can balance accuracy and processing time. Then, lane tracking was followed by detector to improve the detection performance and create autonomous driving trajectory. Finally, to brief lane fi tting problem, it was treated as ridge regression problem, which can enhance the eff ectiveness to the whole system. Experimental results show that our integrated lane detection and tracking system can trade off accuracy and processing time and the whole line keeping system is robust enough to autonomous driving.
Chao Jiang,Takeshi Hanji,Kazuo Tateishi,Masaru Shimizu 한국강구조학회 2020 International Journal of Steel Structures Vol.20 No.5
During the 2011 Tohoku Earthquake, a truss bridge joint structure was cracked due to large cyclic deformation, making us recognize the importance of assessing the seismic performance of joint structures in truss bridges from the viewpoint of low-cycle fatigue. In this study, seismic response analysis of an actual deck truss bridge was performed under diff erent seismic waves, and local strain behavior generated at welded joints around a joint structure was clarifi ed using a zooming analysis technique. The results revealed the possibility that welded joints for a lateral gusset-plate in a joint structure can be cracking sites during earthquakes. In addition, it was indicated that seismic isolation bearings can signifi cantly reduce the local strain at the joint structure and improve its low-cycle fatigue performance. Moreover, as a simple countermeasure, weld toe treatment by grinding is also eff ective to decrease the possibility of low-cycle fatigue cracking at the joint structure.
Video Multiple Classification Algorithm Based on SVM
Chao Jiang,Shuguang Wang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.7
The performance of video automatic classification algorithm depends largely on the extraction of video features and selection of classification algorithm. From the perspective of video contents and video style type, the paper presents a new feature representation scheme, i.e. MPEG-7 visual description sub-combination model, a new method based on support vector machine (SVM) to solve problems with existing algorithms, by analyzing visual differences between five types of videos. Also we improve the classifier decision scheme and then propose the secondary prediction mechanism based on SVM 1-1 approach, improving the accuracy of SVM multi-classification method. The experimental results indicate that the proposed method manifests differences of different videos about feature selection, enhances the discrimination ability of videos pending for classification and increases the effectiveness of SVM multi-video classification.
Expression of Human FGF18 by Fusion with Oleosin in Arabidopsis thaliana Seeds
Chao Jiang,Xiaokun Li,Feng Zhai,Nuo Xu,Jing Yang,Yunpeng Wang,Libo Jin,Haiyan Li 한국식물학회 2018 Journal of Plant Biology Vol.61 No.3
Expression of recombinant human fibroblast growthfactor 18 (hFGF18) in mammalian cells and Escherichia colihas been extensively used for fundamental research andclinical applications, but they are difficult, expensive. Theexpression of recombinant proteins fused to oleosin proteinhave distinct advantages, such as safety, ease, low cost. Sowe have expressed hFGF18 fused to oleosin protein in the oilbodies of Arabidopsis thaliana (A. thaliana) and screen theproliferation effect of NIH3T3 cells. The vector of oleosinhFGF18fusion gene was constructed and transformed intowild A. thaliana. Transformed A. thaliana lines were obtainedby the floral dip method and confirmed using polymerasechain reaction (PCR). The PCR results indicated that theoleosin-hFGF18 fusion gene was integrated into the A. thaliana genome. The oil bodies expression of oleosin-hFGF18was confirmed by sodium dodecyl sulfate polyacrylamidegel electrophoresis and western blotting. The biologicalactivity showed that oil bodies expressing oleosin-hFGF18could stimulate the proliferation of NIH3T3 cells.
Chao Jiang,Takeshi Hanji,Kazuo Tateishi,Masaru Shimizu 한국강구조학회 2023 International Journal of Steel Structures Vol.23 No.1
Because low-cycle fatigue is one of the failure modes in steel structures during earthquakes, crack growth prediction in the low-cycle fatigue region has become an important factor in the evaluation of the seismic performance of steel structures. This study conducted fatigue crack growth tests with several kinds of structural steels to clarify their crack growth behaviour in the low-cycle fatigue region. These tests employed an elastic compliance technique usually used in the high-cycle fatigue region to determine crack size. Before applying the elastic compliance method to a low-cycle fatigue crack growth test, a correlation between specimen load-line crack-opening elastic compliance and crack size was analytically derived. The test results indicated that crack sizes obtained by the elastic compliance method agree relatively well with those actually measured from images. Moreover, it was revealed that the crack growth rate can be correlated with the cyclic J-integral range calculated by finite element analysis, and that the relationships between the crack growth rate and the cyclic J-integral range are similar regardless of the steel type.
Design and Implementation of Transfusion Auxiliary Device by Patient Manual Control Dressing Change
Jiang Jin-gang,Shen Rui-chao,Wang Bao-fu,Gu Bo-yang,Tang Hai-bo,Jiang Ze-hao 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.11
Transfusion auxiliary device by patient manual control dressing is proposed. It is realized by one-way rotation ratchet mechanism, which is consistent of slider-crank mechanism and double pawl ratchet mechanism. Dressing change is automatically realized by patient manual control rope. This reduces the labor intensity of the medical staff, shortens the waiting time of the patients. This device has the advantage of low cost, large market space.