关于我国的粮食标准

本文总结了我国粮食标准的历史，将历次我国小麦标准和小麦粉标准的技术指标，分别集中列表，并据以估计我国优质小麦标准的良好发展前景。     

提高柴油机缸盖内腔铸造质量的工艺措施

缸盖是柴油机上的重要零件之一。铸造毛坯不可避免地存在劈缝、内腔粘砂、粗糙、局部不通等内腔质量问题 ,从而影响缸盖串水冷却效果。本文介绍了一些工艺措施 ,较好地解决了这个问题。     

涡轮钻具在高陡构造的应用及展望

介绍了涡轮钻具在秋参1井的应用情况,详细叙述了涡轮钻具在山前高陡构造快速钻进及防斜打直方面的优点,与常规钻井相比,机械钻速明显提高,钻井周期明显缩短,钻井成本明显下降,经济效益显著。     

Trypsin Inhibitor Activity In Vitro Digestibility and Sensory Quality of Meat-Like Yuba Products as Affected by Processing

ABSTRACT: :
Soybeans ( Glycine max ) were soaked and ground to obtain soymilk. The soymilk was cooked in an open tank and held at 85 to 90 deg;C. Yuba films were picked up in 20 min intervals and dried for 20 min. Yuba films were soaked in chicken-flavor solutions (25% and 35%), and baking soda (BS) solutions (0%, 1%, 2%, and 3% BS), and cooked at 100 °C for 30 min, 60 min, and 90 min. TIA decreased (p < 0.05) with the increase of heating time and BS concentration. In vitro protein digestibility (IVPD) decreased with heating time and BS concentration (p < 0.05). Sensory characteristics were affected by flavor concentration. By using 0% BS, 25% of the chicken flavor concentration, and a short heating time method, meat-like products with low TIA, high IVPD, and good sensory characteristics were obtained.     

定向棱镜腔平顶高斯激光束特性的研究

在XeCl准分子激光器中,采用定向棱镜作为端反射镜与平面输出镜构成激光器谐振腔,获得了近场能量分布均匀、远场能量分布高度集中的相干平顶高斯激光束输出,并具有腔镜高抗失调能力,改善了激光束质量。     

改进尿素包装工艺 不断提高产品质量

通过对尿素包装工艺的不断改进，提高了尿素粒度、减少粉尘含量，效果明显。     

电子产品可靠性设计与成本控制

介绍了可靠性设计过程涉及的质量控制成本的解决方法，通过对最有可能影响可靠性的电路设计、元器件选用等方面的分析，介绍了在降低可靠性设计成本的基础下更好地解决可靠性问题的一些方法。     

分布式光纤喇曼放大技术及其在WDM系统中的应用

介绍了分布式光纤喇曼放大技术的原理、特点和应用 ,并从受此影响的 WDM传输系统的信噪比、噪声指数和品质因数三个方面讨论了光纤喇曼放大技术在提升光纤通信系统性能方面的重要作用。     

振动力场作用下聚合物挤出制品结构与性能的质量控制与优化

利用实验数据，分析与研究振动场振动参数对聚合物挤出制品质量的影响，对聚合物挤出制品的熔体流动速率，微晶结构，拉伸强度等主要性能质量指标，建立以振动频率为主要控制变量的神经网络模型，并引入信息分配模型，探讨了一个网络输入节点下神经网络学习样本的特征提取与优化。实验结果表明，经过信息预处理的学习样本，可以使网络有更好的收敛效果。     

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.