融合RFID的无线湿度传感器节点设计研究

针对融合RFID的无线湿度传感器节点设计的需求,采用中芯国际0.18μm CMOS工艺设计并制造了一种集成湿度传感器节点。该传感器节点采用湿度传感器与其它标签电路集成设计,制造成本低。湿度传感器单元采用聚酰亚胺作为感湿材料,利用顶层金属层制作叉指结构电极,无需任何后处理工艺。整流电路采用自偏置结构降低了MOS开关管的有效导通电压,避免了高成本肖特基工艺的使用。接口电路基于锁相环原理,采用全数字电容-数字直接转换结构,能够工作在超低电源电压下。后期测试结果显示,该无源湿度传感器标签在常温下灵敏度为18.75 f F/%RH,最大回滞偏差7%,整体功耗约为4μW,在阅读器发射功率为2 W条件下,最大工作距离达到14 m。     

QQ Models: Joint Modeling for Quantitative and Qualitative Quality Responses in Manufacturing Systems

A manufacturing system with both quantitative and qualitative (QQ) quality responses (as a QQ system) is widely encountered in many cases. For example, in a lapping process of the semiconductor manufacturing, the quality of wafer’s geometrical characteristics is often measured by the total thickness variation as a quantitative response and the conformity of site total indicator reading as a binary qualitative response. The QQ responses are closely associated with each other in a QQ system, but current methodologies often model the two types of quality responses separately. This article presents a novel modeling approach, called “QQ models,” to jointly model the QQ responses through a constrained likelihood estimation. The QQ models can jointly select significant predictors by incorporating inherent features of QQ systems, leading to accurate variable selection and prediction. Both simulation studies and a case study in a lapping process are used to evaluate the performance of the proposed method. Supplementary materials to this article are available online.     

澳大利亚中煤阶煤层气水平井产气峰值特征及影响因素研究

煤层气水平井产气峰值大小及到来时间是产能高低的重要标志,由于国内缺乏具有较长稳定产气历史的煤层气田而鲜有相关研究。以澳大利亚M煤层气田为研究对象,首先分析了峰值大小和到来时间的分布特征,发现峰值大小与峰值到来前的平均日产气呈现极好的相关性,且高产井峰值到来时间基本都低于600天。其次,通过数值模拟研究,得出含气饱和度、割理孔隙度、储层厚度、解吸时间、含气量和渗透率对峰值大小的影响依次增大;而峰值到来时间仅受解吸时间及割理孔隙度影响显著。研究成果为项目后续的单井产能评价工作奠定了基础。     

某锌挥发窑渣银回收试验

锌挥发窑渣是一种宝贵的二次资源,可从中回收银等有价金属。在分析某锌挥发窑渣性质的基础上,进行了浮选脱碳试验和脱碳尾矿氰化浸出试验。结果表明:采用浮选脱碳—脱碳尾矿氰化选银的工艺流程,在窑渣银含量为524 g/t、C含量为9.26%的条件下,取得了碳脱除率95.07%、银氰化浸出率为86.39%选矿指标,有效回收了银,为锌挥发窑渣的资源化利用提供了参考依据。