莱芜黑猪肉中烟酸含量的测定

采用高效液相色谱法测定莱芜黑猪肉中烟酸的含量,并对提取方法及色谱条件等方面进行了改进,以Kromasil C_(18)柱为分离柱,甲醇–0.05mol/L磷酸二氢钾缓冲液(体积比5∶95)为流动相,柱温30℃,紫外检测器在波长261nm条件下检测,可以在4min左右完成分析。烟酸在1.0～25.0mg/L范围内有良好的线性关系(R=0.9998),相对标准偏差为0.62%(n=6),平均加标回收率为98.4%,检出限为2.0×10~(-4)g/kg,为准确测定莱芜黑猪肉中的烟酸含量提供了一种简便快捷的检测方法。     

一种新的聚丙烯酰胺后水解技术

以丙烯酰胺(AM)单体为主要原料,采用后加碱水解工艺,制备了抗温抗盐型聚丙烯酰胺。考查了p H值、AM含量及水解温度和水解时间对聚合产物性能的影响。实验证明最佳的工艺条件为:AM含量为23%,溶液p H值为6.20~6.40,水解温度为85℃,水解时间为80min。     

小像元红外探测器读出电路设计研究

介绍了基于SMIC 0.18 μm 3.3 V工艺设计研究的第一款小像元红外探测器读出电路,间距10 μm,规模1024×1024。文章详细介绍了像素输入级以及列级、输出级运放的设计,为提高线性摆伏,设计选用了低阈值NMOS管nmvt 33,仿真分析证明低阈值管nmvt 33的噪声性能优于普通管n 33；版图设计对关键信号线和敏感点采取隔离处理措施,对像元间串扰进行了仿真分析,有效控制了信号串扰。电路经测试使用各项功能正常,最大电荷处理能力达到4.3 Me-,动态范围≥65 dB,读出速率达到10 MHz,性能指标满足设计要求。     

离心注水泵变频控制的经济性分析

介绍了离心泵变频节能的原理，针对老油田注水压力变化的特点，从理论上计算分析了离心注水泵变频节能的效果，并结合现场试验情况，认为采取谊技术的经济效益不高。建议节能工作者，在注水站节能改造时，应优先采取撤级、不同泵型匹配等措施，在工艺上实现泵管合理匹配。     

文脉中的环节建筑

环节建筑产生于建筑与城市的内在联系之中，它将“文脉”的含义拓展到基地、城市公共空间体系和城市职能等领域。阐述了环节建筑的基本概念，在此基础上分析了环节建筑在上述三个领域中所扮演的角色及其相互关系。     

用于金属化薄膜分切机安全设计的YB—2B型人体感应模块

扼要论述YB－2B型人体感应模块的基本原理，结合实际情况，介绍此种模块在工业安全生产中的应用。     

Effects of modeling means on properties of monitoring models of spot welding quality

Analyzing and modeling the relation between monitoring information during welding and quality information of the joints is the foundation of monitoring resistance spot welding quality. According to the means of modeling, the known models can be divided into three large categories: single linear regression models, multiple linear regression models and multiple non-linear models. By modeling the relations between dynamic resistance information and welding quality parameters with different means, this paper analyzes effects of modeling means on performances of monitoring models of resistance spot welding quality. From the test results, the following conclusions can be drawn: By comparison with two other kinds of models, artificial neural network (ANN) model can describe non-linear and high coupling relationship between monitoring information and quality information more reasonably, improve performance of monitoring model remarkably, and make the estimated values of welding quality parameters more accurate and reliable.     

Effects of modeling means on properties of monitoring models o spot welding quality

Analyzing and modeling the relation between monitoring information during welding and quality information of the joints is the foundation of monitoring resistance spot welding quality.According to the means of modeling,the known models can be divided into three large categories:single linear regression models,multiple linear regression models and multiple nonlinear models.By modeling the relations between dynamic resistance information and welding quality parameters with different means,this paper analyzes effects of modeling means on performances of monitoring models of resistance spot welding quality. From the test results,the following conclustons can be drawn:By comparison with two other kinds of models,artificial neural network(ANN) model can describe non-linear and high coupling relationship between monitoring information and quality information more reasonably,improve performance of monitoring model remarkably,and make the estimated values of welding quality parameters more accurate and reliable.