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5篇 您的检索式:作者名="Hengjun Luo"
    题名 作者 年代 出处 被引量
1Effect of cooling rate followingβforging on texture evolution and variant selection duringβ→αtransformation in Ti-55511 alloy显示文摘The control of the post-forging cooling rate has been a key issue in the industrial production process of titanium alloys. We investigated texture evolution and variant selection(VS) during β → α transformation through high-temperature compression experiments followed by quantitative control of varying cooling rates. Results show that post-forging cooling rates affect β grains, α variants, and α/β textures. The αprecipitation inhibits motions of β static recrystallization(β_(SRX)) grain boundaries and thus leads to grain refining from 0.1 ℃/s to 0.05 ℃/s. Further analysis reveals that lamellae grain boundary widmanstattenα(α_(WGB)) keeps growing rapidly within β-grain in an interface instability manner at 0.1–0.05 ℃/s. Most of α-phase with 50°–60°/<-12–10> is preferentially precipitated at β-medium angle GBs between 30°and 45° and strictly follows BOR with the side of of adjacent β-grain with the same or similar {110} or{111}. Moreover, the texture type transforms gradually from RGoss {110} <1–10> to Brass {110} <1–12>from 25 ℃/s to 1 ℃/s. βgrains exhibit(102) [-201] texture, while the corresponding α has textures of<0001>//Z and <11–20>//Y from 1 ℃/s to 0.05 ℃/s. Our findings lay a profound theoretical foundation in microstructure evolution of near-β titanium alloy for industrial production.Yue Dong Xingang Liu Junjie Zou Yujiao Ke Pengwei Liu Lan Ma Hengjun Luo 2022Journal of Materials Science & Technology2022,,18:2
2Effect of coating system and interfacial region thickness on the thermal residual stress in SiC/Ti-6Al-4V composites 显示文摘Huang Bin Yang Yangqing Luo Hengjun 2008Mater Design2008,30,3:1
33D printed triboelectric nanogenerator as self-powered human–machine interactive sensor for breathing-based language expression显示文摘Human–machine interfaces(HMIs)are important windows for a human to communicate with the outside world.The current HMI devices such as cellphones,tablets,and computers can be used to help people with aphasia for language expression.However,these conventional HMI devices are not friendly to some particular groups who also lose their abilities of physical movements like in the intensive care unit(ICU)or vegetative patients to realize language expression.Herein,we report a breath-driven triboelectric nanogenerator(TENG)acting as a HMI sensor for language expression through human breathing without voice controls or manual operations.The TENG is integrated within a mask and fabricated via a three-dimensional(3D)printing method.When wearing the mask,the TENG can produce responsive electric signals corresponding to the airflow from breathing,which is capable of recognizing human breathing types with different intensities,lengths,and frequencies.On the basis of the breathing recognition ability,a breathing-based language expressing system is further developed through introducing the Morse code as a communication protocol.Compared with conventional language expressing devices,this system can extract subjective information of a person from breathing behaviors and output corresponding language text,which is not relying on voices or physical movements.This research for the first time introduces the self-powered breathing-based language expressing method to the field of HMI technology by using a 3D printed TENG,and could make HMI interactions become more friendly and fascinating.Pengcheng Zhu Baosen Zhang Hongyi Wang Yiheng Wu Hengjun Cao Liubing He Chaoyue Li Xuepeng Luo Xing Li Yanchao Mao 2022Nano Research2022,15,8:1
4Effect of the interfacial reaction layer thickness on the thermal residual stresses in SiCf/Ti-6Al-4V composites显示文摘HUANG Bin YANG Yanqing LUO Hengjun 0,,:1
5Numerical simulation of the densification processing of titaniummatrix coated fiber composites显示文摘Luo Hengjun Yang Yanqing Huang Bin 2008J Materials Processing Technology2008,208,13:1
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