Laser powder bed fusion(LPBF)is highly suitable for forming 18Ni300 mold steel,thanks to its excellent capability in manufacturing complex shapes and outstanding capacity for regulating microstructures.It is widely us...Laser powder bed fusion(LPBF)is highly suitable for forming 18Ni300 mold steel,thanks to its excellent capability in manufacturing complex shapes and outstanding capacity for regulating microstructures.It is widely used in fields such as injection molding,die casting,and stamping dies.Adding reinforcing particles into steel is an effective means to improve its performance.Nb/18Ni300 composites were fabricated by LPBF using two kinds of Nb powders with different particle sizes,and their microstructures and properties were studied.The results show that the unmelted Nb particles are uniformly distributed in the 18Ni300 matrix and the grains are refined,which is particularly pronounced with fine Nb particles.In addition,element diffusion occurs between the particles and the matrix.The main phases of the base alloy are α-Fe and a small amount of γ-Fe.With the addition of Nb,part of the α-Fe is transformed into γ-Fe,and unmelted Nb phases appear.The addition of Nb also enhances the hardness and wear resistance of the composites but slightly reduces their tensile properties.After aging treatment,the molten pools and grain boundaries become blurred,grains are further refined,and the interfaces around the particles are thinned.The aging treatment also promotes the formation of reverted austenite.The hardness,ultimate tensile strength,and volumetric wear rate of the base alloy reach 51.9 HRC,1704 MPa,and 17.8×10^(-6) mm^(3)/(N·m),respectively.In contrast,the sample added with fine Nb particles has the highest hardness(56.1 HRC),ultimate tensile strength(1892 MPa)and yield strength(1842 MPa),and the volume wear rate of the sample added with coarse Nb particles is reduced by 90%to 1.7×10^(-6) mm^(3)/(N·m).展开更多
针对低轨卫星高动态场景下多服务质量(Quality of Service,QoS)时变物联业务资源调度问题,提出了一种基于Lyapunov优化的窄带物联网(Narrow Band Internet of Things,NB-IoT)多业务资源切片动态管理方法。该方法综合考虑多物联业务QoS...针对低轨卫星高动态场景下多服务质量(Quality of Service,QoS)时变物联业务资源调度问题,提出了一种基于Lyapunov优化的窄带物联网(Narrow Band Internet of Things,NB-IoT)多业务资源切片动态管理方法。该方法综合考虑多物联业务QoS需求、不同QoS业务队列状态以及切片大小的动态划分,构建了资源切片动态管理的资源调度优化问题。基于Lyapunov优化理论将非凸的多时隙动态资源切片划分问题转化为单时隙多QoS业务资源切片配置问题,从而在动态业务场景下实现资源切片与多QoS业务队列之间的动态适配。仿真结果表明,与传统NB-IoT上行资源调度方法相比,所提方法在低轨高动态场景下能够显著提升时延确定性业务的QoS保障和吞吐量。展开更多
为提高铁路供配电系统故障检测的及时性和精准性,基于窄带物联网(Narrow Band Internet of Things,NB-IoT)通信技术,提出了铁路供配电系统故障数据识别技术,并构建了完整的数据采集、传输和识别模型系统。研究结果表明,该技术在故障识...为提高铁路供配电系统故障检测的及时性和精准性,基于窄带物联网(Narrow Band Internet of Things,NB-IoT)通信技术,提出了铁路供配电系统故障数据识别技术,并构建了完整的数据采集、传输和识别模型系统。研究结果表明,该技术在故障识别准确性和响应速度上表现突出,为复杂环境下铁路供配电系统的稳定运行提供了有效支持。展开更多
基金Key-Area Research and Development Program of Guangdong Province(2023B0909020004)Project of Innovation Research Team in Zhongshan(CXTD2023006)+1 种基金Natural Science Foundation of Guangdong Province(2023A1515011573)Zhongshan Social Welfare Science and Technology Research Project(2024B2022)。
文摘Laser powder bed fusion(LPBF)is highly suitable for forming 18Ni300 mold steel,thanks to its excellent capability in manufacturing complex shapes and outstanding capacity for regulating microstructures.It is widely used in fields such as injection molding,die casting,and stamping dies.Adding reinforcing particles into steel is an effective means to improve its performance.Nb/18Ni300 composites were fabricated by LPBF using two kinds of Nb powders with different particle sizes,and their microstructures and properties were studied.The results show that the unmelted Nb particles are uniformly distributed in the 18Ni300 matrix and the grains are refined,which is particularly pronounced with fine Nb particles.In addition,element diffusion occurs between the particles and the matrix.The main phases of the base alloy are α-Fe and a small amount of γ-Fe.With the addition of Nb,part of the α-Fe is transformed into γ-Fe,and unmelted Nb phases appear.The addition of Nb also enhances the hardness and wear resistance of the composites but slightly reduces their tensile properties.After aging treatment,the molten pools and grain boundaries become blurred,grains are further refined,and the interfaces around the particles are thinned.The aging treatment also promotes the formation of reverted austenite.The hardness,ultimate tensile strength,and volumetric wear rate of the base alloy reach 51.9 HRC,1704 MPa,and 17.8×10^(-6) mm^(3)/(N·m),respectively.In contrast,the sample added with fine Nb particles has the highest hardness(56.1 HRC),ultimate tensile strength(1892 MPa)and yield strength(1842 MPa),and the volume wear rate of the sample added with coarse Nb particles is reduced by 90%to 1.7×10^(-6) mm^(3)/(N·m).
文摘针对低轨卫星高动态场景下多服务质量(Quality of Service,QoS)时变物联业务资源调度问题,提出了一种基于Lyapunov优化的窄带物联网(Narrow Band Internet of Things,NB-IoT)多业务资源切片动态管理方法。该方法综合考虑多物联业务QoS需求、不同QoS业务队列状态以及切片大小的动态划分,构建了资源切片动态管理的资源调度优化问题。基于Lyapunov优化理论将非凸的多时隙动态资源切片划分问题转化为单时隙多QoS业务资源切片配置问题,从而在动态业务场景下实现资源切片与多QoS业务队列之间的动态适配。仿真结果表明,与传统NB-IoT上行资源调度方法相比,所提方法在低轨高动态场景下能够显著提升时延确定性业务的QoS保障和吞吐量。
文摘为提高铁路供配电系统故障检测的及时性和精准性,基于窄带物联网(Narrow Band Internet of Things,NB-IoT)通信技术,提出了铁路供配电系统故障数据识别技术,并构建了完整的数据采集、传输和识别模型系统。研究结果表明,该技术在故障识别准确性和响应速度上表现突出,为复杂环境下铁路供配电系统的稳定运行提供了有效支持。
