典型油泥物化性质分析及其处理工艺研究

以典型老化油泥为研究对象,通过分析油泥的基本物化性质、油泥中原油的基本组成及性质、油泥中固相的基本组成及性质等信息,针对性地开发了一种分层次联合处理工艺,并通过详细的工艺试验,确定了联合处理方案的最佳工艺参数,在最佳工艺条件下,三层油泥的尾矿干基含油率分别可降低到0.89%、0.62%和0.45%,满足油田对油泥的环保处理要求,为国内外油泥处理方案设计提供了良好的思路。     

Effect of titanium diboride on the homogeneity of boron carbide ceramic by flash spark plasma sintering

A novel method, namely flash spark plasma sintering (FSPS), combining flash sintering and electric field assisted sintering, was utilized to densify boron carbide/titanium diboride (B₄C/TiB₂) composites. Further, sintering homogeneity of the composites with different contents of TiB₂ was systematically investigated and theoretical model was built. Results indicated that addition of 50?wt% TiB2 led to the densification of B₄C/TiB₂ composite by up to 97.7% with regional range 1.9% at 1872?°C under pressure of 4?MPa in 60?s. The preferential pathway of TiB₂ network proves to disperse the central current and distribute thermal flow throughout the specimen possibly via tunneling, electronic field emission effect at first stage and lower-resistance composite pathway latter, contributing to the increased homogeneity.     

A star pattern recognition algorithm for cameras with large FOV

In most large field of view (FOV) observations, the distortion problem is inevitably and significantly more serious than in small FOV ones. In the circumstances, many traditional star identification approaches are not able to efficiently identify stars any more. In order to deal with this problem, we put forward a star identification method that is less sensitive to distortion. The method first processes stars in the central area of the image, using traditional identification logic, and then applies the region growing strategy to enlarge the identified regions iteratively until the entire image is covered. The performance of the new scheme is analysed in the presence of both simulated data and real data. The results show that the proposed algorithm has the advantage of speed, and the strategy of regional extension can efficiently identify stars in large FOV images compared with other existing algorithms.     

Densification and joining of a (HfTaZrNbTi)C high-entropy ceramic by hot pressing

A bulk (Hf_0.2Ta_0.2Zr_0.2Nb_0.2Ti_0.2)C high-entropy ceramic (HEC) with a high density was prepared by hot pressing (HP), and through a robust joining technique, large-sized piece was fabricated. A hot-pressed carbide HEC with a single-phase and homogeneous composition was obtained at the sintering temperatures from 1800 to 1950 °C for 30 min under a pressure of 30 MPa. The influence of sintering temperature on the mechanical properties of the HEC was investigated, and the flexural and compressive strengths were reported. Additionally, the feasibility of active brazing of this HEC was studied and solid joints with high shear strength were obtained by atomic diffusion and chemical reaction at the interface, providing a key approach to fabricate complex components of HECs.     

Zinc doped Fe2O3 for boosting Electrocatalytic Nitrogen Fixation to ammonia under mild conditions

Artificial nitrogen fixation is emerging as a promising approach for synthesis of ammonia at mild conditions. Inspired by biological nitrogen fixation based on bacteria containing iron, zinc doped Fe₂O₃ nanoparticles are proposed as an efficient and earth abundant electrocatalyst for converting N₂ to NH₃. In neutral media, it achieves a maximum Faradaic efficiency (FE) of 10.4% and a large NH₃ yield rate of 15.1 μg h^?1 mg^?1_cat. at ?0.5 V vs. reversible hydrogen electrode. This catalyst also exhibits excellent selectivity and stability. Theoretical calculations suggest the reaction follows the associative enzymatic mechanism and it has a barrier of as low as 0.68 eV.     

Improvement of Creep Behavior Prediction Using Threshold Stress and Tensile Properties: Introduction of the TTC Relations

Metallurgical and Materials Transactions A - In this article, the deformation and rupture behaviors of nickel-based superalloy GH4169 were analyzed. The high stress exponent was rationalized by...     

3D map reconstruction using a monocular camera for smart cities

Large-scale high-resolution three-dimensional (3D) maps play a vital role in the development of smart cities. In this work, a novel deep learning-based multi-view-stereo method is proposed for reconstructing the 3D maps in large-scale urban environments by exploiting a monocular camera. Compared with other existing works, the proposed method can perform 3D depth estimation more efficiently in terms of computational complexity and graphics processing unit memory usage. As a result, the proposed method can practically perform depth estimation for each pixel before generating 3D maps for even large-scale scenes. Extensive experiments on the well-known DTU dataset and real-life data collected on our campus confirm the good performance of the proposed method.

     

Grey Wolf Optimization Based Active Disturbance Rejection Control Parameter Tuning for Ship Course

International Journal of Control, Automation and Systems - It is important to control the ship course in complicated ocean environment. In this paper, a Grey Wolf Optimization (GWO) based Active...     

Interpolation-tuned salient region detection

Image salient region detection is very useful in many multimedia applications,such as image retrieval,adaptive content delivery,and adaptive compression.Most existing methods are based on centersurround diferences,usually detecting the diferences around region boundaries,so these methods emphasize the high-contrast edges instead of detecting the regions.Diferent from traditional methods,our method smoothly propagates salient region information to the whole image by performing color interpolation and produces such saliency maps that uniformly highlight the whole salient regions and have high contrast between salient regions and backgrounds.We compare our method with five state-of-the-art salient region detection methods on a large public data set.The proposed method not only generates visually reasonable results but also achieves higher precision and better recall rates.