通过单次试验实现不确定度A类评定的方法能够节省时间和成本,梳理阻力试验的采样和分析方法,以及不确定度的A类评定方法,从单次试验的采样时间序列出发,采用一种时间序列截断(time series truncation,TST)方法,提取不同计数周期的连续...通过单次试验实现不确定度A类评定的方法能够节省时间和成本,梳理阻力试验的采样和分析方法,以及不确定度的A类评定方法,从单次试验的采样时间序列出发,采用一种时间序列截断(time series truncation,TST)方法,提取不同计数周期的连续的时间序列,以此生成一系列的观测样本,据此进行单次试验的均值输出和不确定度的A类评定,并与重复性试验结果对比。结果表明,TST方法的不确定度A类评定结果与重复性试验方法近似,满足工程应用要求;适用于任意单次试验;可在试验过程中实时分析。通过应用TST方法,能够在单次阻力试验时,提升试验结果输出的稳定性。展开更多
磁通量索力传感器(Elasto-Magnetic force sensor,EM sensor)作为一种非接触式测量的传感器,与其他索力传感器相比,具有长期稳定性与可靠性好、耐久性高、使用寿命长的突出优势,在预应力拉索的索力监测上应用广泛。本文对磁通量索力传...磁通量索力传感器(Elasto-Magnetic force sensor,EM sensor)作为一种非接触式测量的传感器,与其他索力传感器相比,具有长期稳定性与可靠性好、耐久性高、使用寿命长的突出优势,在预应力拉索的索力监测上应用广泛。本文对磁通量索力传感器的工作原理、发展脉络及研究热点进行阐述,对该技术工程应用的状况与面临的难题进行总结,并对传感器的技术发展趋势进行讨论与展望,以期为相关领域的研究人员在磁通量索力传感器应用及技术上的研究提供参考。展开更多
Based on experimental data,machine learning(ML) models for Young's modulus,hardness,and hot-working ability of Ti-based alloys were constructed.In the models,the interdiffusion and mechanical property data were hi...Based on experimental data,machine learning(ML) models for Young's modulus,hardness,and hot-working ability of Ti-based alloys were constructed.In the models,the interdiffusion and mechanical property data were high-throughput re-evaluated from composition variations and nanoindentation data of diffusion couples.Then,the Ti-(22±0.5)at.%Nb-(30±0.5)at.%Zr-(4±0.5)at.%Cr(TNZC) alloy with a single body-centered cubic(BCC) phase was screened in an interactive loop.The experimental results exhibited a relatively low Young's modulus of(58±4) GPa,high nanohardness of(3.4±0.2) GPa,high microhardness of HV(520±5),high compressive yield strength of(1220±18) MPa,large plastic strain greater than 30%,and superior dry-and wet-wear resistance.This work demonstrates that ML combined with high-throughput analytic approaches can offer a powerful tool to accelerate the design of multicomponent Ti alloys with desired properties.Moreover,it is indicated that TNZC alloy is an attractive candidate for biomedical applications.展开更多
文摘通过单次试验实现不确定度A类评定的方法能够节省时间和成本,梳理阻力试验的采样和分析方法,以及不确定度的A类评定方法,从单次试验的采样时间序列出发,采用一种时间序列截断(time series truncation,TST)方法,提取不同计数周期的连续的时间序列,以此生成一系列的观测样本,据此进行单次试验的均值输出和不确定度的A类评定,并与重复性试验结果对比。结果表明,TST方法的不确定度A类评定结果与重复性试验方法近似,满足工程应用要求;适用于任意单次试验;可在试验过程中实时分析。通过应用TST方法,能够在单次阻力试验时,提升试验结果输出的稳定性。
文摘磁通量索力传感器(Elasto-Magnetic force sensor,EM sensor)作为一种非接触式测量的传感器,与其他索力传感器相比,具有长期稳定性与可靠性好、耐久性高、使用寿命长的突出优势,在预应力拉索的索力监测上应用广泛。本文对磁通量索力传感器的工作原理、发展脉络及研究热点进行阐述,对该技术工程应用的状况与面临的难题进行总结,并对传感器的技术发展趋势进行讨论与展望,以期为相关领域的研究人员在磁通量索力传感器应用及技术上的研究提供参考。
基金the financial supports from the National Key Research and Development Program of China (No. 2022YFB3707501)the National Natural Science Foundation of China (No. 51701083)+1 种基金the GDAS Project of Science and Technology Development, China (No. 2022GDASZH2022010107)the Guangzhou Basic and Applied Basic Research Foundation, China (No. 202201010686)。
文摘Based on experimental data,machine learning(ML) models for Young's modulus,hardness,and hot-working ability of Ti-based alloys were constructed.In the models,the interdiffusion and mechanical property data were high-throughput re-evaluated from composition variations and nanoindentation data of diffusion couples.Then,the Ti-(22±0.5)at.%Nb-(30±0.5)at.%Zr-(4±0.5)at.%Cr(TNZC) alloy with a single body-centered cubic(BCC) phase was screened in an interactive loop.The experimental results exhibited a relatively low Young's modulus of(58±4) GPa,high nanohardness of(3.4±0.2) GPa,high microhardness of HV(520±5),high compressive yield strength of(1220±18) MPa,large plastic strain greater than 30%,and superior dry-and wet-wear resistance.This work demonstrates that ML combined with high-throughput analytic approaches can offer a powerful tool to accelerate the design of multicomponent Ti alloys with desired properties.Moreover,it is indicated that TNZC alloy is an attractive candidate for biomedical applications.
