Physics-based plasticity model incorporating microstructure changes for severe plastic deformation

During machining processes, materials undergo severe deformations that lead to different behavior than in the case of slow deformation. The microstructure changes, as a consequence, affect the materials properties and therefore influence the functionality of the component. Developing material models capable of capturing such changes is therefore critical to better understand the interaction process–materials. In this paper, we introduce a new physics model associating Mechanical Threshold Stress (MTS) with Dislocation Density (DD) models. The modeling and the experimental results of a series of large strain experiments on polycrystalline copper (OFHC) involving sequences of shear deformation and strain rate (varying from quasi-static to dynamic) are very similar to those observed in processes such as machining. The Kocks–Mecking model, using the mechanical threshold stress as an internal state variable, correlates well with experimental results and strain rate jump experiments. This model was compared to the well-known Johnson–Cook model that showed some shortcomings in capturing the stain jump. The results show a high effect of rate sensitivity of strain hardening at large strains. Coupling the mechanical threshold stress dislocation density (MTS–DD), material models were implemented in the Abaqus/Explicit FE code. The model shows potentialities in predicting an increase in dislocation density and a reduction in cell size. It could ideally be used in the modeling of machining processes.     

Mode Localization Induced by a Nonlinear Control Loop

We present the analysis of a nonlinear controlsystem that is used to excite and maintain a specified amplitude ofoscillation in the Jet Propulsion Laboratory vibratory gyroscope.This experimental application shows that nonlinear localizationthrough active means can be implemented in a practical system when itis desirable to confine the response to a favorable mode. Theclosed-loop system response predicted by the model shows very closeagreement with the experimental results for a significant range ofcontroller parameters. We also experimentally demonstrate that theactively localized motion is eliminated through bifurcation, similarto what was observed in previous passive localization studies appliedto extended flexible oscillators.     

不同粒径炭黑混合对复合型导电材料PTC性能的影响

研究了炭黑分散效果对具有PTC效应的高密度聚乙烯／炭黑导电复合材料性能的影响。实验结果表明，由不同粒度和比表面积的两种炭黑混合后填充的复合材料同由导电性能较好的乙炔炭黑填充复合材料比较，前者具有较低的渗滤阀值、较高的临界温度、优良的PTC特性以及电阻稳定性好的特点．     

自动快速燃烧－离子色谱测定铜精矿中的氟

建立了自动快速燃烧（AQF）－离子色谱联用测定铜精矿中氟的方法。将 AQF 的自动化特性和离子色谱的灵敏度高、准确性好的特点结合起来,能够实现操作过程的连续自动化。结果表明,线性范围内（1.0?50.0 μg )校准曲线相关系数 r >0. 999,氟的检出限为0.0004%。按照实验方法测定铜精矿样品中氟,结果的相对标准偏差（ RSD ,n =6)为2.14 % ?4.24 %。将实验方法用于铜精矿标准样品氟含量测定,测定值与认定值吻合较好;方法对照试验表明,实验方法对氟含量的测定值与国家标准 GB/T 3884. 12—2010的测定值基本一致。     

火试金法配料过程自动化的探索和应用

火试金法中配料方式采用的是传统的人工配料,针对人工配料方式的不足,设计了一款自动化程度较高的自动配料机,通过对配料机的准确性、效率及可靠性实验,结果表明配料机检测称量误差在±0.2 g以内,效率为人工配料的2~3倍,检测结果与人工配料的相一致。与此同时,应用此设备改善了工作环境,避免了人为失误造成的检测质量问题,降低了复检率,为企业降低了成本,提高了效益,在业内具有广泛应用前景。     

智能石墨消解–ICP–MS法测定空气PM2.5中的Pb和Cd

建立电感耦合等离子体质谱(ICP–MS)测定空气PM2.5中的Pb和Cd元素的分析方法。采用连续β射线–DHS PM2.5大气颗粒物浓度监测仪采集空气中的PM2.5,以智能石墨消解PM2.5滤膜样品,ICP–MS测定其中的Pb和Cd元素含量。在优化的仪器条件下,元素Pb和Cd标准曲线的线性相关系数均为0.999 9,检出限分别为0.018,0.52ng/m3,满足HJ 657–2013的要求。Pb和Cd的加标回收率分别为95.8%~101.4%,99.3%~104.9%,测定结果的相对标准偏差分别为4.20%和2.38%(n=6)。对滤膜标准样品进行了测定,测定结果与标准值一致。该方法测定结果准确、可靠,可用于测定空气PM2.5中的Pb和Cd。     

飞行时间质谱仪固体样品自动进样系统研制

以常规型飞行时间质谱仪为基础,通过配置移动平台、样品杆、工业相机、LED灯源、工业显示屏等部件,研制了一套飞行时间质谱仪用固体样品自动进样系统,实现了固体有机样品的直接进样分析。该装置具有一定的普适性,可为相关实验室设备升级改造提供借鉴和参考。该装置可进行难溶未知有机化合物的结构剖析,实现目标物的快速筛查,且操作人员可实时观测锥孔处样品状态并可软件操控进样位置,实现人机分离的自动化测试。     

不同温度热处理后砂岩三点弯曲的断裂特性

通过三点弯曲试验研究了不同温度影响下小尺度砂岩试件的断裂特性,证实温度的影响是明显的.125℃是个临界温度点,此时不仅砂岩的平均断裂韧性达到最大值,而且这时砂岩的裂纹扩展模式也发生了根本性的变化,即低温(低于125℃)热处理后砂岩的断裂以沿颗粒断裂机制为主;而高温(大于125℃)热处理后的砂岩的断裂以破断颗粒和沿颗粒的混合断裂机制为主.在100℃-150℃的温度范围内,砂岩的力学特性变得不稳定,这可能是由于粘土物质内部部分吸附水及层间水的蒸发使得粘土物质孔隙结构发生了变化及力学行为变得不稳定所造成的.从125℃到600℃,砂岩的断裂韧性整体有下降趋势,有约50%的降幅,这不仅与温度影响了粘土物质与矿物的胶结情况有关,也与高温处理后砂岩表面出现的热开裂有关,还与因矿物颗粒及粘土物质的热学性质差异导致冷却后存在的残余应力相关.     

加权无标度网络中的疾病传播

提出具有加权传播率和非线性传染能力的SIR模型和SIS模型,通过平均场方法证明了这两个模型在加权无标度网络中可以存在非零的传播阈值,从而传播率需要跨越更大的传播阈值才能流行.并且得到的结果在特殊情况下可退化为已有的一些经典结论.