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| 1 | In-situ synthesis of TiC/Fe alloy composites with high strength and hardness by reactive sintering显示文摘Fe alloy composites reinforced with in-situ titanium carbide(Ti C) particles were fabricated by reactive sintering using different reactant C/Ti ratios of 0.8,0.9,1 and 1.1 to investigate the microstructure and mechanical properties of in-situ Ti C/Fe alloy composites.The microstructure showed that the in-situ synthesized Ti C particles were spherical with a size of 1–3 μm,irrespective of C/Ti ratio.The stoichiometry of in-situ Ti C increased from 0.85 to 0.88 with increasing C/Ti ratio from 0.8 to 0.9,but remained almost unchanged for C/Ti ratios between 0.9 and 1.1 due to the same driving force for carbon diffusion in Ti Cxat the common sintering temperature.The in-situ Ti C/Fe alloy composite with C/Ti = 0.9 showed improved mechanical properties compared with other C/Ti ratios because the presence of excess carbon(C/Ti = 1 and 1.1) resulted in unreacted carbon within the Fe alloy matrix,while insufficient carbon(C/Ti = 0.8)caused the depletion of carbon from the Fe alloy matrix,leading to a significant decrease in hardness.This study presents that the maximized hardness and superior strength of in-situ Ti C/Fe alloy composites can be achieved by microstructure control and stoichiometric analysis of the in-situ synthesized Ti C particles,while maintaining the ductility of the composites,compared to those of the unreinforced Fe alloy.Therefore,we anticipate that the in-situ synthesized Ti C/Fe alloy composites with enhanced mechanical properties have great potential in cutting tool,mold and roller material applications. | Junho Lee Dongju Lee Myung Hoon Song Wonhyuk Rhee Ho Jin Ryu Soon Hyung Hong | 2018 | Journal of Materials Science & Technology2018，34，8： | 8 |
| 2 | System reliability and sensitivity under statistical dependence by matrix-based system reliability method 显示文摘 | Song Junho Kang Won-Hee | 2009 | Structural Safety2009，31，： | 1 |
| 3 | Robust structural damage identification based on multi-objective optimization 显示文摘 | Jung Sungmoon Ok Seung-Yong Song Junho | 2010 | International Journal for Numerical Methods in Engineering2010，81，6： | 1 |
| 4 | Seismic interaction in electrical substation equipment connected by non-linear rigid bus conductors 显示文摘 | SONG Junho Der KIUREGHIAN Armen JEROME L | 2007 | Earthquake Engineering and Structural Dynamics2007，36，2： | 1 |
| 5 | System reliability and sensitivity under statistical dependence by matrix-based system reliability method 显示文摘 | Song Junho Kang W H | 2009 | Structure Safety2009，31，2： | 1 |
| 6 | Spherically focused capacitive-film,aircoupled ultrasonic ransducer显示文摘 | Junho Song etc | 2006 | JASA Express Letters2006，119，2： | 1 |
| 7 | A computational paradigm for multiresolution topology optimization (MTOP)显示文摘 | Tam H. Nguyen Glaucio H. Paulino Junho Song Chau H. Le | 2010 | Structural and Multidisciplinary Optimization2010，，4： | 1 |
| 8 | A computational paradigm for multiresolution topology optimization ( MTOP ) 显示文摘 | Tam H Nguyen Glaucio H Paulino Junho Song | 2010 | Structural and Multidisciplinary Optimization2010，41，4： | 1 |
| 9 | Ma- trix-based system reliability method and applications to bridge networks 显示文摘 | Kang Won-Hee Song Junho Gardoni Paolo | 2008 | Reliability Engineering and System Safety2008，3，： | 1 |
| 10 | Matrix-based system reliability method and applications to bridge networks显示文摘 | Kang Won Hee Song Junho Gardoni Paolo | 2008 | Reliability Engineering and System Safety2008，93，11： | 1 |
| 11 | Optimal design of hysteretic dampers connecting adjacent structures using multi-objective genetic algorithm and stochastic linearization method显示文摘 | Seung-Yong Ok Junho Song Kwan-soon Park | 2008 | Engineering Structures2008，30，： | 1 |
| 12 | Ductility Capacity Models for Buckling Restrained Braces 显示文摘 | Blake Andrews Larry Fahnestock Junho Song | 2009 | Journal of Constructional Steel Research2009，65，8： | 1 |
| 13 | System reliability and sensitivity under statistical dependence by matrix-based system reliability method显示文摘 | JUNHO SONG WON-HEE KANG | 2009 | Structural Safety2009，31，2： | 1 |
| 14 | Assessment of buckling-restrained braced frame reliability using an experimental limit-state model and stochastic dynamic analysis显示文摘制止扣环的背带(BRB ) 最近用作地震 lateral-force-resisting 系统的主要成员在美国变得流行。BRB 是不在压缩弄弯,但是相反在紧张和压缩让步的钢钩住。尽管为 BRB 应用程序的设计指南被开发了,为估计性能和确定的可靠性的系统的过程仍然被需要。这篇论文为估计制止扣环的 braced 论述一个分析框架框架(BRBF ) 可靠性当使遭到了到地震负担时。这个框架高效地确定 BRB 失败的风险由于 BRB 核心的低周期的疲劳骨折。过程包括一系列部件那:(1 ) 确定以 BRB,核心变丑历史通过随机的动态分析产生了的 BRB 需求;(2 ) 确定 BRB 的限制状态以它基于一个试验性的数据库仍然是累积塑料韧性能力;并且(3 ) 评估 BRB 失败的概率,给确定的需求和能力,通过结构的可靠性分析。参量的研究被进行在钩住失败的概率上调查 BRB 和 BRBF 的地震负担,和特征的效果。另外,脆弱弯(即,钩住失败的有条件的可能性摇紧张参数撤退) 被建议框架创造。当在这篇论文介绍的框架被用于对 BRBF 的评价时,框架部件的模块化的性质允许申请到另外的结构的部件和系统。 | Blake M.Andrews Junho Song Larry A.Fahnestock | 2009 | Earthquake Engineering and Engineering Vibration2009，8，3： | 1 |
| 15 | Electrochemical Characteristics of Lithium Vanadate, Li1+x VO2' New Anode Materials for Lithium Ion Batteries 显示文摘 | Song Junho Park Hye jung Kim Kijae | 2010 | Journal of Power Sourcws2010，195，18： | 1 |
| 16 | Efficient risk assessment of lifeline networks under spatially correlated ground motions using selective recursive decomposition algorithm显示文摘 | Hyun‐Woo Lim Junho Song | 2012 | Earthquake Engng Struct Dyn2012，，13： | 1 |
| 17 | Intelligent Risk-Identification Algorithm with Vision and 3D LiDAR Patterns at Damaged Buildings显示文摘Existingfirefighting robots are focused on simple storage orfire sup-pression outside buildings rather than detection or recognition.Utilizing a large number of robots using expensive equipment is challenging.This study aims to increase the efficiency of search and rescue operations and the safety offirefigh-ters by detecting and identifying the disaster site by recognizing collapsed areas,obstacles,and rescuers on-site.A fusion algorithm combining a camera and three-dimension light detection and ranging(3D LiDAR)is proposed to detect and loca-lize the interiors of disaster sites.The algorithm detects obstacles by analyzingfloor segmentation and edge patterns using a mask regional convolutional neural network(mask R-CNN)features model based on the visual data collected from a parallelly connected camera and 3D LiDAR.People as objects are detected using you only look once version 4(YOLOv4)in the image data to localize persons requiring rescue.The point cloud data based on 3D LiDAR cluster the objects using the density-based spatial clustering of applications with noise(DBSCAN)clustering algorithm and estimate the distance to the actual object using the center point of the clustering result.The proposed artificial intelligence(AI)algorithm was verified based on individual sensors using a sensor-mounted robot in an actual building to detectfloor surfaces,atypical obstacles,and persons requiring rescue.Accordingly,the fused AI algorithm was comparatively verified. | Dahyeon Kim Jiyoung Min Yongwoo Song Chulsu Kim Junho Ahn | 2023 | Intelligent Automation & Soft Computing2023，，5： | 0 |
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