CMOS运算放大器失调电压消除设计

基于直流对称偏置技术、版图的对称布局布线和先进的CMOS工艺技术。文中设计了一种低失调电压的高性能运算放大器。测试结果表明,在负载电容100 pF和电阻10 kΩ的情况下,最大失调电压＜2 mV;开环增益为98 dB;单位增益带宽达到10.4 MHz;相位裕度为55°;电源抑制比为-87 dB。该电路可广泛用于高性能数模混合电路、高性能模拟、计算、控制等系统中。     

基于K-近邻隶属度模糊支持向量机的再造抽油杆损伤等级磁记忆定量识别

针对磁记忆技术在再造抽油杆损伤等级定量评价中小样本和分散性的难题,从再造抽油杆疲劳损伤实验出发,通过获取损伤演化过程的磁记忆特征规律,提取五维磁记忆特征向量,首次引入基于K-近邻隶属度的模糊支持向量机多分类算法,结合参数组合寻优方法,建立再造抽油杆损伤等级的多分类磁记忆定量识别模型。结果表明:利用K-近邻隶属度将分散性和模糊性加以量化,结合支持向量机的小样本优势,构造的K-近邻隶属度模糊支持向量机多分类磁记忆模型,可以进行再造抽油杆损伤等级的磁记忆定量识别,并进一步进行参数组合寻优,避免了盲目选择固定参数导致模型精度过低,具有较好的抗噪性和鲁棒性,为再造抽油杆损伤等级定量评价提供了一种新的方法。     

固体氧化物燃料电池力学性能和形变行为研究

通过流延成型、丝网印刷和共烧结法成功制备了阳极支撑的平板式固体氧化物燃料电池(SOFCs)。采用陶瓷样品同轴环施力方式和双扭法测试单电池的抗弯强度和断裂韧性分别为156.69 MPa与2.51 MPa•m^1/2。当阳极支撑体由陶瓷(NiO/YSZ)还原为金属陶瓷(Ni/YSZ), 其抗弯强度和断裂韧性分别为104.48 MPa与3.95 MPa•m^1/2。同时电池的弯曲变形测试表明: 单电池经过阳极还原后弯曲变形程度变大, 平整化压力从电池阳极还原前的108 N增加至184 N, 而电池抵抗破裂能力增强。本研究显示, 随着阳极支撑体还原后单电池的断裂韧性显著提高, 将有效减缓其弯曲变形所引起的不利影响, 改善单电池的综合力学性能。     

砂砾用于太阳能斜温层罐填料的蓄热特性

建立了间接接触式显热蓄热实验台,对不同粒径的砂砾用于太阳能显热蓄热斜温层单罐填料的蓄热特性进行了研究.实验台蓄热装置为一圆柱形罐体,内部按六边形蜂窝状布置了19根不锈钢管.选用空气作为换热流体,流经钢管内部通道传热,钢管外部用于与罐体内的砂砾相接触.选取了4种砂砾:细砂、中砂、滤砂和粗砂进行实验.结果表明,空隙率是影响砂砾蓄热性能的重要因素,而不是密度或粒径.其中,粗砂空隙率最低,蓄热效果最好.对于砂砾等基本物性变化不大的材料,不同蓄热温差下,蓄热效果相同.采用空气作为换热流体,蓄热效率较低,需要降低空气流速或者加长管段以强化换热.实验结果与二维简化数值模型进行对比,结果吻合良好,该模型可用于进行大型蓄热罐蓄热性能研究.     

硫磺粉尘爆炸特性研究

为研究硫磺粉尘爆炸危险性,采用哈特曼管式爆炸测试装置与20 L球爆炸测试装置对常温常压下不同粒径的硫磺粉尘爆炸特性参数进行了测试和评估,得到了不同粒径硫磺粉尘的最小点火能、爆炸下限质量浓度和爆炸指数,根据实验结果对硫磺粉尘危险性进行了分级。结果表明,70~850 μm不同粒径的硫磺粉尘最小点火能在0.144~125 mJ,且随着粒径的减小而降低;45~375 μm不同粒径的硫磺粉尘爆炸极限质量浓度在15~20 g/m3,且随着粉尘粒径的减小而降低;45~375 μm不同粒径的硫磺粉尘最大爆炸指数在34.46~39.87 MPa·m/s,且随着粒径的减小而增大,其粉尘爆炸危险性等级为St3。     

石化企业蒸汽动力系统的多周期优化运行

蒸汽动力系统的优化运行对石化企业的安全生产和成本控制具有重要的影响。采用混合整数线性规划描述了石化企业蒸汽动力系统的超结构,建立了多周期优化运行的数学模型,充分考虑了蒸汽动力系统设备在多周期操作中的维修约束。通过对某炼油企业蒸汽动力系统的实例研究,论证了模型的科学性和适用性。     

Material characterization of blanked parts in the vicinity of the cut edge using nanoindentation technique and inverse analysis

Sheet metal blanking is widely used in various industrial applications such as automotive and electrical rotating machines. When this process is used, the designer can be faced with several problems introduced by the change of the material state in the vicinity of the cut edge. In general, blanking operations severely affect mechanical and physical properties of blanked parts. To take into account these modifications during the part design, it is important to assess the influence of the process parameters on the resulting material properties. Previous experimental and numerical investigations of blanking process have been carried out, leading to the development and the validation of a finite element model that predicts the shape of the cut edge and state of the material. The study presented in this paper makes use of nanoindentation technique to improve the validation of the previously cited model. To this end, nanoindentation tests were combined with inverse identification technique to approach some of the characteristics of material state like work hardening near its cut edges. Indentation tests were carried out in the vicinity of several parts of cut edges. Based on the corresponding load versus penetration curves, the evolution of the yielding stress resulting from the material work hardening was estimated and compared to the predictions obtained from the numerical simulation of blanking process. These comparisons show good agreement between the measurements and the predictions from finite element model.     

水润滑轴承螺旋密封性能的仿真分析

针对水润滑立式高速液压主轴存在的端部泄漏问题,提出了以螺旋密封为主要密封方式的密封方案.并采用有限体积法,对不同工况下螺旋密封内部流场进行了非定常紊流数值模拟.研究了螺旋密封结构几何参数及转速和间隙与密封效果之间的关系.结果表明在紊流状态下,随着转速的增大,螺旋密封有效浸油长度减小,但伴随着会出现明显的气吞现象.同时,偏心率对密封效果影响也较大.     

应力应变曲线逆分析确定孪生动力学模型

 为确定304不锈钢的孪生动力学模型及孪生对位错密度和变形抗力的影响规律,利用位错理论建立了含材料孪生动力学关系的本构关系模型,实测了材料的应力应变曲线,运用实测结果优化确定了本构关系模型中的待定常数,进而建立了材料的孪生动力学关系模型,本构关系模型还表明,在孪生条件下,材料的位错密度及变形抗力随变形程度增加而快速增大。     

Challenging homeostasis to define biomarkers for nutrition related health

A primary goal of nutrition research is to optimize health and prevent or delay disease. Biomarkers to quantify health optimization are needed since many if not most biomarkers are developed for diseases. Quantifying “normal homeostasis” and developing validated biomarkers are formidable tasks because of the robustness of homeostasis and of inter‐individual diversity. In this paper, we discuss the science, strategies, and technologies for measuring parameters that define individual health. The following concepts are central to define the physiology of the healthy individual: (i) responses to a challenge of homeostasis will be more informative than static homeostatic measures; (ii) processes involved in maintaining homeostasis usually are multi‐factorial and require quantitative analyses of the many individual components involved; (iii) health includes a large variation in “normality” and the effects of nutritional interventions may remain hidden in this “diversity of robustness,” if incompletely analyzed. Specifically, comprehensive multi‐parameter (“omics”) analysis may identify key parameters (biomarkers) and lead to a greater understanding of health supporting processes. Perturbation tests that accurately target aspects of the overarching drivers of health (metabolism, oxidation, inflammation, and psychological stress) may be instrumental in creating knowledge for maintaining health and preventing disease through nutrition.