A new facility for studying plasma interacting with flowing liquid lithium surface

A new facility to study plasmas interacting with flowing liquid lithium surface was designed and is constructing in Sichuan University. The integrated setup includes the liquid lithium circulating part and linear high density plasma generator. The circulating part is consisted of main loop, on-line monitor system, lithium purification system and temperature programmed desorption system. In our group a linear high density plasma generator was built in 2012. Three coils were mounted along the vessel to produce an axial magnetic field inside. The magnetic field strength is up to 0.45 T and work continuously. Experiments on plasmas interacting with free flowing liquid lithium surface will be performed.     

Student self-assessment: Results from a research study in a level IV elective course in an accredited bachelor of chemical engineering

A summative Mid-term Test in a level IV course of an accredited bachelor degree from a cohort of 32 (8 female, 24 male) students was both self-assessed and assessed by the experienced course tutor, using the idealized solutions and shell-form marking scheme of the lecturer. The assignment required demonstration of discipline-specific, definitions in Pinch Analysis and calculation of temperatures and heat exchanger network (HEN) designs. The grades were analyzed for accuracy, that is, agreement between student self-assessment (S-A) and tutor, marks. In 32 valid responses (100% response rate) the mean mark awarded by the students and tutor was, respectively, 83.1 (stdev = 8.3) and 71.7 (stdev = 8.3) out of a possible 100. Overall student S-A was therefore about 1.16 times that of the tutor's mark (p < 0.025). There was no evidence of student collusion in solutions or “marks sharking”. Granularity in student S-A and tutor grading was, respectively, a ½ and 1. There was no evidence to show any systematic concordance between the tutor's performance ranking and that of the students. An independent Student Experience of Learning & Teaching survey (75% response rate) revealed a mixed reaction: there was 63% broad agreement that S-A was an effective way to learn; but low confidence (50%) that self-marking was correct. The provision of the idealized solutions (and marking scheme) was considered essential (71% broad agreement) for successful student S-A. Significantly, there was good agreement (63%) that S-A stimulated discussion of key concepts out of normal contact hours, indicating good student engagement with their learning and pedagogical effectiveness of S-A.     

White matter hyper-intensities automatic identification and segmentation in magnetic resonance images

A methodology for automatic identification and segmentation of white matter hyper-intensities appearing in magnetic resonance images of brain axial cuts is presented. To this end, a sequence of image processing technics is employed to form an image where the hyper-intensities in white matter differ notoriously from the rest of the objects. This pre-processing stage facilitates the posterior process of identification and segmentation of the hyper-intensity volumes. The proposed methodology was tested on 55 magnetic resonance images from six patients. These images were analysed by the proposed system and the resulted hyper-intensity images were compared with the images manually segmented by experts. The experimental results show the mean rate of true positives of 0.9, the mean rate of false positives of 0.7 and the similarity index of 0.7; it is worth commenting that the false positives are found mostly within the grey matter not causing problems in early diagnosis. The proposed methodology for magnetic resonance image processing and analysis may be useful in the early detection of white matter lesions.     

Effect of temperature on structural and optical properties of ZnS thin films by chemical bath deposition without stirring the reaction bath

ZnS thin films were deposited at different temperatures on glass substrates by chemical bath deposition method without stirring the deposition bath. With deposition temperature increasing from 50 °C to 90 °C, pH decreases rapidly, homogeneous precipitation of ZnS, instead of Zn(OH)₂ easily forms in the bath. It means that higher temperature is favorable for the formation of relatively high stoichiometric film, due to the lower concentration of OH⁻. The thickness of the films deposited at 90 °C is much higher than that of the films deposited at 50 °C and 70 °C. Combining the film thickness with the change of pH, the growth of film, especially deposited at 90 °C mainly comes from the fluctuation region of pH. At the same time, with the increase of deposition temperature, the obtained films are transparent, homogeneous, reflecting, compact, and tightly adherent. The ZnS films deposited for 1.5 h, 2 h and 2.5 h at 70 °C and 90 °C have the cubic structure only after single deposition. The average transmission of all films, especially the thicker films deposited at 90 °C, is greater than 90% for wavelength values in the visible region. Comparing with the condition of stirring, the structural and optical properties of films are improved significantly. The direct band gaps range from 3.93 to 4.06 eV.     

Strength,microstructure and chemistry of ingot mould grey iron after different cycles of low frequency high temperature loads

A kind of grey iron for producing large steel ingot moulds has been analyzed by thermal simulation experiment, and its tensile strength, matrix microstructure, fracture morphology and chemistry after different cycles of low frequency high temperature loads with oxidizing atmosphere have been studied. The micro and macro-mechanisms of large mould fatigue cracking have been discussed. As the period of low frequency high temperature pretreatments increases, the carbon content in grey iron decreases, resulting in the decrease of pearlite fraction and also the tensile strength. A new kind of graphite flake in short and small size appears in the matrix after heating and cooling treatments, leading to the rise of graphite exposure rate in the fracture under low frequency high temperature periodic loads. Although the decarburization rate in the specimens with ferrite matrix is much lower than that with pearlite matrix, the carbon content has more influence on tensile strength, induced by the following grains coarsening and grain boundary weakening. Accordingly, some feasible measures for extending mould service life have been proposed.     

Improvement of optical properties of Nd:YAG transparent ceramics by post-annealing and post hot isostatic pressing

The Nd:YAG transparent ceramics were fabricated by vacuum sintering. The Nd:YAG samples were annealed at 1450 °C for 20 h in air and followed by hot isostatic pressing (HIP) at 1700 °C for 2 h in 200 MPa Ar and then re-annealed at 1250–1450 °C for 10 h in air. The experimental results showed that the optical properties of Nd:YAG samples varied markedly with different post treatments. After air annealing at 1450 °C for 20 h and HIP at 1700 °C for 2 h under 200 MPa of Ar and then air re-annealing at 1250 °C for 10 h, the transmittances of the samples increased from 51.2% to 77.2% (at 400 nm) and 78.4% to 83.6% (at 1064 nm), respectively. The annealing and HIP are effective post treatments to reduce oxygen vacancies and intergranular pores respectively in Nd:YAG transparent ceramics.     

Grain boundary sliding mechanism in plastic deformation of nano-grained YAG transparent ceramics: Generalized self-consistent model and nanoindentation experimental validation

The elastic-plastic deformation behaviors of nano-grained and coarse-grained yttrium aluminum garnet (YAG) transparent ceramics are investigated using nanoindentation. An inverse Hall-Petch relation is observed for the nano-grained YAG ceramic and a forward Hall-Petch relation is observed for the coarse-grained YAG ceramic. In addition, the plastic work ratio as a function of applied load for the nano-grained YAG ceramic shows a different trend than that for the coarse-grained YAG ceramic. These observations suggest that the plastic deformation of the nano-grained YAG ceramic cannot be attributed to the normal dislocation mechanism and is controlled by grain boundary sliding. A generalized self-consistent model for studying the mechanical behavior of the nano-grained YAG ceramic is developed and validated by experimental results. The stress-strain relationship predicted by this model is embedded in finite element simulations which confirmed that the plastic deformation of the nano-grained YAG ceramic indeed can be attributed to grain boundary sliding.     

Influence of powder physicochemical characteristics on microstructural and optical aspects of YAG and Er:YAG ceramics obtained by SPS

The present work aims to establish a correlation between the characteristics of YAG and Er:YAG commercial powders produced by two different synthesis routes and sintered ceramic microstructures and their optical aspect by taking into account the influence of pressure applied during the Spark Plasma Sintering (SPS) process. Physical and chemical characteristics of the powders were compared using various techniques such as SEM, XRD, laser diffraction and chemical analyses. Their behaviours were evaluated through a rheological study, compressibility tests and dilatometry cycles using SPS. This paper pinpoints the most important powder features which influence the optical quality of YAG and Er:YAG ceramics. The optical quality is mainly affected by the porosity, related to powder characteristics that affect particle rearrangement, densification and grain growth. The applied pressure induces microstructural heterogeneities depending on the starting material used and resulting in core-shell aspects of sintered ceramics.     

Fast multisensor infrared image super-resolution scheme with multiple regression models

High resolution (HR) infrared (IR) images play an important role in many areas. However, it is difficult to obtain images at a desired resolution level because of the limitation of hardware and image environment. Therefore, improving the spatial resolution of infrared images has become more and more urgent. Methods based on sparse coding have been successfully used in single-image super-resolution (SR) reconstruction. However, the existing sparse representation-based SR method for infrared (IR) images usually encounter three problems. First, IR images always lack detailed information, which leads to unsatisfying IR image reconstruction results with conventional method. Second, the existing dictionary learning methods in SR aim at learning a universal and over-complete dictionary to represent various image structures. A large number of different structural patterns exist in an image, whereas one dictionary is not capable of capturing all of the different structures. Finally, the optimization for dictionary learning and image reconstruction requires a highly intensive computation, which restricts the practical application in real-time systems. To overcome these problems, we propose a fast IR image SR scheme. Firstly, we integrate the information from visible (VI) images and IR images to improve the resolution of IR images because images acquired by different sensors provide complementary information for the same scene. Second, we divide the training patches into several clusters, then the multiple dictionaries are learned for each cluster in order to provide each patch with a more accurate dictionary. Finally, we propose an method of Soft-assignment based Multiple Regression (SMR). SMR reconstructs the high resolution (HR) patch by the dictionaries corresponding to its K nearest training patch clusters. The method has a low level of computational complexity and may be readily suitable for real-time processing applications. Numerous experiments validate that this scheme brings better results in terms of quantization and visual perception than many state-of-the-art methods, while at the same time maintains a relatively low level of time complexity. Since the main computation of this scheme is matrix multiplication, it will be easily implemented in FPGA system.     

3D sparse signal recovery via 3D orthogonal matching pursuit

Though many three-dimensional (3D) compressive sensing schemes have been proposed, recovery algorithms in most of these schemes are designed for 1D or 2D signals, which cause some serious drawbacks, e.g., huge memory usage, and high decoder complexity. This paper proposes a 3D separable operator (3DSO) which is able to completely exploit the spatial and spectral correlation to sparsify and samples the 3D signal in three dimensions. A 3D orthogonal matching pursuit (3D-OMP) algorithm is then employed to recover the 3D sparse signal, which is able to reduce the computational complexity of the decoder significantly with guaranteed accuracy. In the proposed algorithm, we represent each 3D signal as a weighted sum of 3D atoms, which allow us to sample the 3D signal with 3D separable sensing operator. Then the best matched atoms are selected to construct the 3D support set, and the 3D signal is optimally recovered from the 3D support set in the sense of the least squares. Experimental results show that the 3D-OMP approach achieves higher recovery quality but requires less computational time than the Kronecker Compressive Sensing (KCS) scheme.