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Characterization of hot deformation and microstructure evolution of a new metastableβtitanium alloy 被引量:12
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作者 Zhao-qi CHEN Li-juan XU +5 位作者 Shou-zhen CAO Jian-kai YANG Yun-fei ZHENG Shu-long XIAO Jing TIAN Yu-yong CHEN 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2022年第5期1513-1529,共17页
The hot deformation characteristics of as-forged Ti−3.5Al−5Mo−6V−3Cr−2Sn−0.5Fe−0.1B−0.1C alloy within a temperature range from 750 to 910℃and a strain rate range from 0.001 to 1 s^(-1) were investigated by hot compre... The hot deformation characteristics of as-forged Ti−3.5Al−5Mo−6V−3Cr−2Sn−0.5Fe−0.1B−0.1C alloy within a temperature range from 750 to 910℃and a strain rate range from 0.001 to 1 s^(-1) were investigated by hot compression tests.The stress−strain curves show that the flow stress decreases with the increase of temperature and the decrease of strain rate.The microstructure is sensitive to deformation parameters.The dynamic recrystallization(DRX)grains appear while the temperature reaches 790℃at a constant strain rate of 0.001 s^(-1) and strain rate is not higher than 0.1 s^(-1) at a constant temperature of 910℃.The work-hardening rateθis calculated and it is found that DRX prefers to happen at high temperature and low strain rate.The constitutive equation and processing map were obtained.The average activation energy of the alloy is 242.78 kJ/mol and there are few unstable regions on the processing map,which indicates excellent hot workability.At the strain rate of 0.1 s^(-1),the stress−strain curves show an abnormal shape where there are two stress peaks simultaneously.This can be attributed to the alternation of hardening effect,which results from the continuous dynamic recrystallization(CDRX)and the rotation of DRX grains,and dynamic softening mechanism. 展开更多
关键词 metastableβtitanium alloy hot deformation behavior microstructure evolution abnormal flow behavior
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基于能量的人群异常行为检测算法研究 被引量:2
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作者 李新 郝海江 +1 位作者 陈帆 黄琳 《现代电子技术》 2022年第4期155-160,共6页
群体异常的发生会危害社会公共安全,因此利用现有技术对人群进行实时监控和分析,对于维护社会秩序和公共安全具有重要意义。针对公共场所中人群异常行为的检测问题,文中提出一种基于人群运动能量变化的方法来检测人群中是否发生异常行... 群体异常的发生会危害社会公共安全,因此利用现有技术对人群进行实时监控和分析,对于维护社会秩序和公共安全具有重要意义。针对公共场所中人群异常行为的检测问题,文中提出一种基于人群运动能量变化的方法来检测人群中是否发生异常行为。该方法利用Farneback光流算法获得视频帧的前景运动图像,并计算视频帧的全局光流幅值。由于人群运动能量与光流幅值成正相关,因此可以通过计算全局光流幅值分析人群运动强度,计算人群瞬时能量,通过将相邻帧间的能量差值与特定阈值做比较来判断人群中是否发生异常事件。最后,在UMN数据集上对文中方法进行测试,得出三种场景下的AUC值分别为0.992,0.948和0.978。实验结果表明,文中所提出的算法能够有效地检测出人群的异常行为,可以满足实时性的要求,且具有良好的性能。 展开更多
关键词 人群异常行为 群体检测 运动能量 智能监控 前景提取 光流幅值计算 异常事件判断
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