LF泡沫精炼渣脱硫动力学的实验研究

对CaO -Al2 O3 -SiO2 系泡沫精炼渣进行了实验室脱硫动力学研究 ,得到的硫传质系数为 1.45 9× 10 -5m s。还就泡沫精炼渣中发泡剂对其脱硫能力的影响进行了研究。     

多糖—用于硫化矿物优先浮选的天然无毒调整剂

进行的吸附试验用来为阐明糊精和硫化矿之间的相互作用。硫化矿如方铅矿和六方硫镍矿，在与Ｐｂ（ＯＨ）２，Ｎｉ（ＯＨ）２等电点一致的ｐＨ值范围内显示了强吸附力，并且认为是化学作用。就硫化铜矿吸附而言属于弱吸附类型，并且遵循不同的模式。有关石墨的吸附研究证实了金属杂质充当吸附中心的化学作用机理，依照已提出的机理，方铅矿与黄铜矿，六方硫镍矿与辉铜矿均取得了选择性分离。     

中国先进研究堆冷中子源核发热和冷中子增益研究

为准确计算和研究中国先进研究堆（CARR）冷中子源装置氢系统的核发热和冷中子增益，建立了一整套计算方法。对参考堆的验证计算证明了该方法的正确性和有效性。对影响CARR冷中子源核发热和冷中子增益的各种因素（如慢化剂、冷包材料、冷包形状等）进行了计算和优化选择。结果表明：在核发热量较小的条件下获得了较好的冷中子增益。     

PSoC-based embedded design and quartz tuning fork for low-temperature measurement system design

This article describes a commercial quartz tuning fork (QTF), 8 mm in height by 3 mm in diameter, holding a two-terminal electronic component with a nominal frequency of 32.768 kHz and 12.5 pF typical load capacitance packed in a vacuum-sealed metal container, which has been used as a sensor for low-temperature measurement with good sensitivity, repeatability, and reliability. An embedded readout design with the support of a programmable system on-chip (PSoC) and virtual instrument control program, which uses a personal computer as an input/output device, provides online data acquisition of the QTF frequency data, which will in turn provide the measurement of the low-temperature bath in which the QTF is immersed. The embedded PSoC readout captures the varying frequency signals from the QTF as a response to the measurement temperature, processes it, and sends the frequency value to a personal computer, where LabVIEW, a graphical language ("G" language), displays the data in a graphical format. The QTFs for low temperature (300 K to 77 K) are well studied, whereas a sensor using a PSoC embedded design as a readout is a novel design implementation.     

NDE in aerospace-requirements for science, sensors and sense

The complexity of modern NDE (nondestructive evaluation) arises from four main factors: quantitative measurement, science, physical models for computational analysis, realistic interfacing with engineering decisions, and direct access to management priorities. Recent advances in the four factors of NDE are addressed. Physical models of acoustic propagation are presented that have led to the development of measurement technologies advancing the ability to assure that materials and structures will perform a design. In addition, a brief discussion is given of current research for future mission needs such as smart structures that sense their own health. Such advances permit projects to integrate design for inspection into their plans, bringing NDE into engineering and management priorities. The measurement focus is on ultrasonics with generous case examples. Problem solutions highlighted include critical stress in fasteners, residual stress in steel, NDE laminography, and solid rocket motor NDE.     

Fractal feature analysis and classification in medical imaging

Following B.B. Mandelbrot's fractal theory (1982), it was found that the fractal dimension could be obtained in medical images by the concept of fractional Brownian motion. An estimation concept for determination of the fractal dimension based upon the concept of fractional Brownian motion is discussed. Two applications are found: (1) classification; (2) edge enhancement and detection. For the purpose of classification, a normalized fractional Brownian motion feature vector is defined from this estimation concept. It represented the normalized average absolute intensity difference of pixel pairs on a surface of different scales. The feature vector uses relatively few data items to represent the statistical characteristics of the medial image surface and is invariant to linear intensity transformation. For edge enhancement and detection application, a transformed image is obtained by calculating the fractal dimension of each pixel over the whole medical image. The fractal dimension value of each pixel is obtained by calculating the fractal dimension of 7x7 pixel block centered on this pixel.