水基钕铁硼磁废料油泥清洗剂配方的研制

论述了一种新型水基钕铁硼废料油泥清洗剂的配方组成,并对该清洗剂的性能进行了测试。结果表明,该清洗剂清洗能力强,除胶、油、蜡、尘等污垢率大于97%;清洗成本极低,对环境无污染,对人体无伤害;本清洗剂具有极高的物理稳定性和抗硬水性,无毒、无害、无污染、对人体无伤害,对金属表面无腐蚀,长时间使用不变质。国家自然科学基金(51175444); 中央高校(厦门大学)基本科研业务费专项资金(2011121002); 航空科学基金(2013ZD68009); 福建省高等学校新世纪优秀人才支持计划(2013); 福建省自然科学基金(2014J01206); 厦门市科技计划项目(3502Z20143009

Recovery of Rare Earth from Scrapped Nd: YAG Crystal

为实现YAG系列晶体生产过程所产生废弃物中的稀土元素的综合利用,以废弃Nd:; YAG晶体碎片为原料,经过破碎、碱熔、水洗、酸溶、除杂等一系列工序,得到非稀土杂质较低的氯化钇钕混合溶液,直接作为萃取分离线的原料。实验选用的碱; 熔融预处理及环烷酸萃取除杂,可有效地将Al与稀土元素分离; 而且碱熔融预处理工艺能显著提高废弃Nd:; YAG晶体碎片中稀土酸浸出的效率。在最优条件下可回收高达91.3%的稀土元素。In order to recycle rare earth elements from the wastes during YAG; crystal production,four operations such as alkali melting,water; washing,acid dissolving and unsaponified acid solvent extracting were; adopted for getting rare-earth chloride solution which meets the rare; earth separation process. The result showed that scrapped YAG powder; completely soluble in hydrochloric acid while the size was small; enough,and most part of Al could be removed by forming sodium; meta-aluminate which could solute in water. The total recoveries of rare; earth came to 91.3% under the optimal conditions.国家自然科学基金项

Fabrication of PDC-SiCN ceramic based wireless passive temperature sensors

为了解决航空发动机的温度检测问题,提出了一种以聚合物先驱体陶瓷SiCN(PDC-SiCN)为传感器介质材料的无线无源温度传感器,并搭建了无线无源; 温度传感器的测试系统。PDC-SiCN陶瓷基无线无源温度传感器是以聚合物先驱体陶瓷SiCN(PDC-SiCN)作为传感器介质材料,以金属铂作为谐; 振腔材料。分析了PDC-SiCN陶瓷基无线无源温度传感器的谐振频率与测试温度之间的关系,传感器的测试温度达到了610; ℃。研究发现,PDC-SiCN陶瓷基无线无源温度传感器的谐振频率随测试温度升高呈单调递减变化,通过对传感器的谐振频率与温度的关系进行多项式拟合,; 610 ℃时传感器的灵敏度为0.4705 MHz/℃。PDC-SiCN陶瓷基无线无源传感器在高温恶劣环境具有广阔的应用前景。In order to solve the problem of temperature detection of aeroengine, a; wireless passive temperature sensor with polymer derived ceramic SiCN; (PDC-SiCN) as sensor dielectric materials was proposed, and a test; system of wireless passive temperature sensor was set up. PDC-SiCN; ceramic-based wireless passive temperature sensor is a polymer derived; ceramic SiCN (PDC-SiCN) as a sensor dielectric material and metal; platinum as a resonant cavity material. The relationship between the; resonant frequency of the PDC-SiCN ceramic-based wireless passive; temperature sensor and the test temperature is analyzed. The test; temperature of the sensor reaches 610 ℃. It is found that the resonant; frequency of PDC-SiCN ceramic-based wireless passive temperature sensor; is monotonically decreasing with the increase of test temperature. The; sensitivity of the sensor is 0.4707 MHz/℃ by fitting the resonant; frequency and temperature of the sensor. PDC-SiCN ceramic-based wireless; passive sensor has a broad application prospects in the harsh; environment.国家自然科学基金资助项目; 预研基金资助项

Research on Weld Inspection of Complex Surface Based on Linear Structure Optical Scanning

针对机器人自适应打磨曲面形焊接区域的识别问题，提出了一种新颖的利用线结构光，打磨机器人自动识别起始点与终止点的算法并提出一种深度图像增强算子。该算子通过将中心像素与八邻域内像素的强度差的绝对值之和作为中心像素的值，增强显示深度图像可视化特征，很好地将打磨区域的纹理特征显露出来。该算法首先对点云数据进行滤波和空洞填充处理，之后计算每一扫描行的点云计算其高度方向的方差，最后对所得特征进行识别，找到在一定范围内特征变化较大的位置，便可提取出需要进行打磨的区域。结果表明，提出的算子针对深度图像增强效果极佳，同时，提出的算法对起始与终止位置的精度平均值均在1mm以内，达到了像素级精度，而且具有很强的鲁棒性，对噪声不敏感。在现场的打磨测试中也证实了此方法有效性和可行性，得到了满意的结果。</p

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel