Spatiotemporal Magnetocaloric Microenvironment for Guiding the Fate of Biodegradable Polymer Implants

The degradation behavior of implants is significantly important for bone repair. However, it is still unprocurable to spatiotemporally regulate the degradation of the implants to match bone ingrowth. In this paper, a magneto-controlled biodegradation model is established to explore the degradation behavior of magnetic scaffolds in a magnetothermal microenvironment generated by an alternating magnetic field (AMF). The results demonstrate that the scaffolds can be heated by magnetic nanoparticles (NPs) under AMF, which dramatically accelerated scaffold degradation. Especially, magnetic NPs modified by oleic acid with a better interface compatibility exhibit a greater heating efficiency to further facilitate the degradation. Furthermore, the molecular dynamics simulations reveal that the enhanced motion correlation between magnetic NPs and polymer matrix can accelerate the energy transfer. As a proof-of-concept, the feasibility of magneto-controlled degradation for implants is demonstrated, and an optimizing strategy for better heating efficiency of nanomaterials is provided, which may have great instructive significance for clinical medicine.     

Mesoporous g-C3N4 decorated by Ni2P nanoparticles and CdS nanorods together for enhancing photocatalytic hydrogen evolution

Ni₂P nanoparticles and CdS nanorods were grew together on a mesoporous g-C₃N₄ through a facile in-situ solvothermal approach. Under visible light (λ > 400 nm), the as-prepared ternary PCN–CdS-5% Ni₂P composite displays a high H₂ evolution rate with 2905.86 μmol g^?1 h^?1, which is about 14, 18 and 279 times that of PCN–CdS, PCN–Ni₂P and PCN, respectively. The enhanced photocatalytic activity is mainly attributed to the improved separation efficiency of the photocarriers by the type II PCN–CdS heterojunction and the effective extraction of photogenerated electrons by Ni₂P. Meanwhile, Ni₂P acts as co-catalyst to provide the photocatalytic active site for hydrogen reduction. In addition, PCN–CdS-5% Ni₂P composite exerts good stability in 12-h cycles.     

A Student's t-based density peaks clustering with superpixel segmentation (tDPCSS) method for image color clustering

Image color clustering is a basic technique in image processing and computer vision, which is often applied in image segmentation, color transfer, contrast enhancement, object detection, skin color capture, and so forth. Various clustering algorithms have been employed for image color clustering in recent years. However, most of the algorithms require a large amount of memory or a predetermined number of clusters. In addition, some of the existing algorithms are sensitive to the parameter configurations. In order to tackle the above problems, we propose an image color clustering method named Student's t-based density peaks clustering with superpixel segmentation (tDPCSS), which can automatically obtain clustering results, without requiring a large amount of memory, and is not dependent on the parameters of the algorithm or the number of clusters. In tDPCSS, superpixels are obtained based on automatic and constrained simple non-iterative clustering, to automatically decrease the image data volume. A Student's t kernel function and a cluster center selection method are adopted to eliminate the dependence of the density peak clustering on parameters and the number of clusters, respectively. The experiments undertaken in this study confirmed that the proposed approach outperforms k-means, fuzzy c-means, mean-shift clustering, and density peak clustering with superpixel segmentation in the accuracy of the cluster centers and the validity of the clustering results.     

Adaptive fuzzy control for nontriangular form systems with time-varying full-state constraints

This article investigates an adaptive fuzzy tracking control problem for a class of nontriangular form systems with asymmetric time-varying full state constraints. Unknown functions are approximated by the fuzzy logic systems. A domination approach is employed to tackle the nontriangular form structure. Time-varying asymmetric barrier Lyapunov functions (ABLFs) are adopted to ensure full-state constraints satisfaction. Based on the backstepping technique and time-varying ABLFs, an adaptive controller is proposed and guarantees that all the signals in the closed-loop system are ultimately bounded and the time-varying full state constraints are met. Simulation examples are presented to further demonstrate the effectiveness of the proposed approach.     

Rectilinear Electromechanical Pumping Developed Successfully in China

Recently, the special subject-development and application of rectilinear electromechanical pumping undertaken by Jianghan Petroleum Machinery Factory and China University of Petroleum （East China） Electromechanical Project Institute, which is the component of national key project for domestic petroleum equipment, new material development and application technology during the period of the 11 th Five-Year Plan,     

自喷井电动清蜡绞车的研制

针对目前石油钻采用清蜡绞车总体结构设计不合理以及实用性不强等技术难题,研制开发了自喷井电动清蜡绞车。该绞车的核心部件包括过载保护安全装置、牙嵌离合器轴套、自动/手动互换装置、计量装置以及密封装置。在清蜡绞车自动工作中,当清蜡刮刀遇到较大阻力时,清蜡绞车将接收到反馈信号,可实现智能停车,自动转换为手动状态,以便操作人员检查和排除故障,从而确保了操作的安全性,延长了设备的使用寿命。1000余台电动清蜡绞车的现场应用表明,该产品可以大大降低原油的开采成本,具有良好的经济效益和社会效益。     

新型交流脉冲MIG焊接法的研究

采用自行研制的具有方框形外特性的交流脉冲MIG焊接电源 ,又设计了双凹形焊接电流波形 ,即过零前后的电流波形均为脉冲大电流 ,有利于交流脉冲MIG焊接电弧的连续稳定。按照这个新型交流脉冲MIG焊接方法 ,不必加任何稳弧措施 ,可实现电弧的稳定燃烧 ,解决了电弧磁偏吹的问题 ,具有较好的焊接工艺性能 ,用于压力容器的全位置焊接和铝焊接均有很好的焊缝成型     

合成氨中置锅炉的修复

本文在分析中置锅炉失效原因的基础上，提出了详细的修复措施，为类似情况的设备修复提供了借鉴。     

钛及其合金在化学及石油化学工业中的应用

钛及其合金可用于制造化学和石油化学工业中的各种设备。这是因为钛及其合金具有优异的机械性能、良好的耐腐蚀性能、生物惰性等特点。腐蚀问题是化学工业中最突出的问题之一 ,利用各种新型耐腐蚀材料 ,是解决腐蚀问题的最有效方法。因为工程纯钛的机械性能和耐蚀性能取决于氧、氮及铁之类杂质的含量 ,所以要根据机械和腐蚀化学要求选择具有各种不同强度性能的钛及其合金。杂质成分对钛的加工或应用时的可塑性有影响。压力容器应用的钛材有较高的强度要求 ,但是用作衬里及零部件时要经受较大的变形 ,因而要选择具有杂质含量少、强度较低而塑…