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兰州理工大学 [16]

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限定条件	内容类型：会议论文专题：兰州理工大学第一署名单位第一作者单位通讯作者单位

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	The self-sense monitoring of coating wear by in situ SiO2-coated SrAl2O4:Eu2+,Dy3+ luminescent particles 会议论文 Porto, Portugal, July 26, 2017 - July 27, 2017 作者: Li, Wensheng; He, Ling; Hu, Chunxia; Yang, Xiao Tian 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Aluminum alloys Composite coatings Copper alloys Friction Light Luminescence Plasma jets Plasma spraying Silica Thermal fatigue Tribology Wear resistance Friction coefficients Luminescence properties Luminescence spectrum Luminescent particle Luminescent property Supersonic plasma spraying Tribological coatings Tribological performance
	The self-sense monitoring of coating wear by in situ SiO2-coated SrAl2O4: Eu2+, Dy3+ luminescent particles 会议论文作者: Li, Wensheng; He, Ling; Hu, Chunxia; Yang, XiaoTian 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/15
	Fracture design parameters of middle carbon steel in extra-low cycle bend torsion loading 会议论文 Xi'an, Shanxi, China, May 9, 2014 - May 11, 2014 作者: Duan, Hong-Yan; Zhang, Huan-Rong; Zheng, Ming; Wang, Xiao-Hong 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/15 Carbon steel Fracture Network architecture Neural networks Extra-low cycle Middle carbon steels Neural network model Number of hidden neurons Performance of systems Prediction techniques Torsion fatigue Trained neural networks
	The study of wake and array of double wind turbine 会议论文 Jilin, China, September 21, 2013 - September 22, 2013 作者: Yang, Rui; Xia, Wei Wei; Li, Jin Long 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/11/15 Computational fluid dynamics Computer simulation Environmental technology Experiments Numerical models Wind power Wind turbines Aerodynamic interactions Co-axial Fatigue loads Turbulence intensity Upstream wake Wake effect Wake fields Wind resources
	Application of ANN back-propagation for fracture design parameters of middle carbon steel in extra-low cycle bend torsion loading 会议论文 Wuhan, China, June 22, 2013 - June 23, 2013 作者: Duan, HongYan; Li, YouTang; Sun, ZhiJia; Zhang, YangYang 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Backpropagation Carbon steel Industrial engineering Mechanical engineering Network architecture Neural networks Torsional stress Extra-low cycle Middle carbon steels Neural network model Number of hidden neurons Performance of systems Prediction techniques Torsion fatigue Trained neural networks
	Experimental Study on Strain Performance of Tensile Reinforcement under Fatigue Loads 会议论文作者: Tang, Xianxi; Liang, Jinbao; Zhu, Yanpeng; Tang, Xianzhou; Xu, Yue 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/11/15 reinforcement experimental study fatigue loads tensile zone strain performance
	Experimental study on strain performance of tensile reinforcement under fatigue loads 会议论文 Jinan, China, May 24, 2013 - May 26, 2013 作者: Tang, Xianxi; Liang, Jinbao; Zhu, Yanpeng; Tang, Xianzhou; Xu, Yue 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/11/15 Civil engineering Concrete slabs Concretes Fatigue testing Load testing Reinforcement Compressive fatigue Experimental study Fatigue cycles Fatigue loads Linear relationships Static load tests Strain values Tensile reinforcement
	Friction and wear behavior on 60Si2Mn steel used the heat treatment process with plant material 会议论文作者: Huang, Xiao-Peng; Huang, Jian-Long; Wu, Jing-Feng; Yao, Yin-Jing 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Abrasion Heat resistance Heat treatment Manganese alloys Manganese steel Morphology Silicon alloys Steel metallurgy Surface morphology Wear resistance 60Si2Mn steel Friction and wear behaviors Heat treatment process Metallurgical microscope plantmabrasive Scanning electron micro scopes Wear performance Worn surface morphology
	The research on wear performance at elevated temperature of Ni-based infiltrated layer 会议论文作者: Yang, Gui-rong; Sun, Xian-ming; Zhou, You; Song, Wen-ming; Ma, Ying 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/11/15 Ni-based infiltrated layer Ni-based infiltrated layer Ni-based infiltrated layer microstructure microstructure microstructure wear behavior wear behavior wear behavior elevated temperature elevated temperature elevated temperature
	Application of ANN Back-Propagation for An Alloy Reinforced Ceramics/Metal Composite Under Extra-Low Cycle Bending Fatigue Loading 会议论文作者: Rui, Zhi-yuan; Duan, Hong-yan; Lei, Chunli; Wei, Xing-chun 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/15 Artificial Neural Networks Ceramic composites Fracture design

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