Identification of heavy metal-contaminated Tegillarca granosa using laser-induced breakdown spectroscopy and linear regression for classification

Tegillarca granosa (T. granosa) is susceptible to heavy metals, which may pose a threat to consumer health. Thus, healthy and polluted T. granosa should be distinguished quickly. This study aimed to rapidly identify heavy metal pollution by using laser-induced breakdown spectroscopy (LIBS) coupled with linear regression classification (LRC). Five types of T. granosa were studied, namely, Cd-, Zn-, Pb-contaminated, mixed contaminated, and control samples. Threshold method was applied to extract the significant variables from LIBS spectra. Then, LRC was used to classify the different types of T. granosa. Other classification models and feature selection methods were used for comparison. LRC was the best model, achieving an accuracy of 90.67%. Results indicated that LIBS combined with LRC is effective and feasible for T. granosa heavy metal detection.     

A first-principles investigation on mechanical and metallic properties of titanium carbides under pressure

The titanium carbides are potential candidates to achieve both high hardness and refractory property. We carried out a structural search for titanium carbides at three pressures of 0 GPa, 30 GPa and 50 GPa. A phase diagram of the Ti-C system at 0 K was obtained by elucidating formation enthalpies as a function of compositions, and their mechanical and metallic properties of titanium carbides were investigated systematically. We also discussed the relation of titanium concentration to the both mechanical and metallic properties of titanium carbides. It has been found that the average valence electron density and tractility improved at higher concentrations of titanium, while the degree of covalent bonding directionality decreased. To this effect, the hardness of titanium carbide decreases as the content of titanium increases. Our results indicated that the titanium content significantly affected the metallic properties of the Ti-C system.     

具有外套管的释热元件表面温度求解

为进行具有外套管的释热元件的性能分析，需准确计算元件包壳外侧的温度分布。由于套管结构内外均存在流体，传热情况较为复杂，因此本文基于传热基本方程和能量守恒关系，设计开发了专用的迭代算法和计算程序求解该结构温度分布，并采用典型算例，将计算结果与Fluent软件仿真结果进行对比。结果表明，本文程序计算结果与Fluent软件仿真结果的相对误差小于5%。基于本算法编写的程序模块与燃料元件性能分析程序相耦合，可提高燃料性能分析流程的独立性。     

改性氧化钛对羟乙基乙二胺水溶液解吸CO2的强化

羟乙基乙二胺（AEE）水溶液的CO₂循环吸收量高（1.2molCO₂/molAEE），吸收速度快，稳定性好，但解吸速度慢、解吸量少（0.8mol CO₂/mol AEE）是限制该技术广泛应用的主要原因。本文通过向AEE水溶液中添加质量分数为0.05%～0.20%的改性氧化钛（TiO₂-MWCNT和TiO₂-OH）强化AEE的解吸能力。CO₂循环吸收（40℃）-解吸（120℃）实验结果表明改性氧化钛的添加比氧化钛强化CO₂解吸效果更好，强化顺序为TiO₂-MWCNT＞TiO₂-OH；其对应的最大解吸速率分别为0.093L/min（质量分数0.15%）和0.083L/min（质量分数0.20%），相对于AEE水溶液，分别提高了32.9%和18.6%；其对应的最大解吸量分别为0.92molCO₂/molAEE（质量分数0.15%）和0.88molCO₂/molAEE（质量分数0.20%），分别提高了12.2%和9.7%；其对应的CO₂循环吸收量分别是0.95molCO₂/molAEE（质量分数0.15%）和0.89molCO₂/molAEE（质量分数0.15%），分别提高了18.75%和11.25%；5次循环吸收解吸实验结果表明改性氧化钛强化CO₂解吸效果稳定，具有较强的化学稳定性。对反应后的改性氧化钛进行XRD、BET、FTIR和SEM表征，结果表明改性氧化钛具有较强的结构稳定性。TiO₂-MWCNT和TiO₂-OH在促进有机胺溶液解吸CO₂方面具有一定的工业应用潜力。     

Wide-band,passively Q-switched Yb- and Tm-doped fibre laser using WSSe saturable absorber

A wide-band, passively Q-switched fibre lasers based on ytterbium- and thulium-doped fibre gain medium are proposed and demonstrated. The lasers employ a transition metal dichalcogenide, tungsten sulphoselenide as a saturable absorber (SA) which is prepared by mechanical exfoliation technique. By integrating the SA in the laser cavities, self-starting Q-switched at 1038 and 1982?nm are obtained. The generated pulses exhibit a microsecond pulse duration with few kilohertz repetition rate. The proposed SA has high potential as a new material to cater to the needs of various scientific, industrial and biomedical applications.     

基于弥散燃料颗粒开裂的金属基体裂纹特征模型

金属基弥散燃料元件在特殊工况下会发生表面起泡失效。燃料颗粒开裂是金属基体开裂的前提条件，只有当金属基体开裂后元件才会发生表面起泡。燃料颗粒开裂后，裂纹宽度和塑性区长度等裂纹特征决定了金属基体开裂行为。基于弹塑性断裂力学和应力平衡条件，建立了基于弥散燃料颗粒开裂的金属基体裂纹特征模型。计算结果表明：裂纹张开位移随退火温度和燃耗深度的升高而增加；裂纹尖端塑性区长度主要与退火温度相关。裂纹张开位移和塑性区长度的计算结果与实验数据均符合较好，验证了金属基体裂纹特征模型的有效性。     

拉深筋对板材变形特征和力学性能的影响研究

采用实验方法将金属板材拉过不同尺寸的拉深筋镶块，分析了拉深筋高度、圆角半径以及过筋次数对板材变形特征的影响规律，研究了过筋产生的预应变对板材后续力学性能的影响规律。结果表明：板材流过拉深筋后，流动方向上发生均匀的拉伸变形；过筋产生的预应变随着拉深筋高度增大而增大，随着圆角半径增大而减小，随着过筋次数增加而近似线性增大；预应变越大，材料后续屈服强度和抗拉强度越高，但后续延伸率越小，总延伸率随着预应变增大表现出先减小后增大的趋势。     

Unsteady free convection of second‐grade nanofluid with a new time‐space fractional heat conduction

The Caputo and Caputo–Fabrizio derivative are applied to study a second‐grade nanofluid over a vertical plate. A comparative analysis is presented to study the unsteady free convection of a second‐grade nanofluid with a new time–space fractional heat conduction. The governing equations with mixed time–space fractional derivatives are non‐dimensionalized and solved numerically, and a comparison between the Caputo and the Caputo–Fabrizio models is made. It is found that the temperature is higher for the Caputo–Fabrizio fractional model than the Caputo model, but the higher velocity only exists near the vertical plate for the Caputo–Fabrizio model than the Caputo model. Moreover, the velocity for the Caputo model will exceed the Caputo–Fabrizio model as y evolves.     

Design of a thermal management system for a battery pack in an electric vehicle using Dymola

As the world moves toward more green and efficient means of modes of transport, electric vehicles are the most suitable and ideal choice to fulfill this requirement. Rapid developments in the field of battery technology are the main reason for their progress, but thermal management in such systems has been an area of concern for a long time. The work undertaken is to design and develop a battery management system (BMS) with a specific focus on the thermal behavior of the battery pack with varying vehicle loads as well as environmental conditions. To design an efficient BMS, one needs to model the battery behavior covering the thermal as well as electrical aspects of the battery. Apart from the battery model, a mathematical model of the electrical vehicle to mimic the various road load conditions for battery also needs to be modeled. Depending on the need for cooling based on battery behavior, the cooling circuit is modeled for the battery pack used. The entire study has been carried out using Dymola, a mathematical modeling software.