Effect of phytic acid–modified layered double hydroxide on flammability and mechanical properties of intumescent flame retardant polypropylene system

Phytic acid–modified layered double hydroxide (Ph‐LDH) was synthesized via coprecipitation method and subsequently was used in polypropylene (PP) by combining with an ammonium polyphosphate (APP) via melt compounding method. The synergistic effect between APP and Ph‐LDH on the thermal stability, flammability, and mechanical properties of the resultant PP composites was investigated by thermogravimetric analysis, limiting oxygen index, vertical burning test (UL‐94), cone calorimeter tests, tensile test, and impact test. Morphologies of the chars obtained from the samples after the cone calorimeter tests were studied by scanning electron microscopy. The combination of APP and Ph‐LDH slightly influenced the impact and tensile properties of PP. Also, the synergistic effect between APP and Ph‐LDH occurred in the cone calorimeter test. Moreover, the combination of APP and Ph‐LDH produced better quality char that effectively suppressed the spread of the flame and volatile and finally extinguished the fire.     

蓝宝石晶体掏棒机内冷式刀柄辅具结构研究

因蓝宝石晶体硬度为莫氏9级,仅次于最硬白金刚石,蓝宝石晶体掏棒加工中会产生很高的切削热量,筒刀和晶体必须进行筒刀内部和外部同时强力冷却,才能保证掏棒加工的稳定性和晶棒质量。所以蓝宝石晶体掏棒加工中要解决的关键技术问题之一,是内冷式刀柄辅具结构的研究、设计、试制、改进和联机使用。     

磨料粒径及形状对磨料水射流切割钛合金表面微观形貌的影响

采用不同粒径与形状的磨料颗粒，在磨料水射流切割平台上切割钛合金，用超景深显微镜等设备分析，以研究不同的磨料粒径及形状对钛合金表面微观形貌的影响。研究表明:磨料粒径越大，钛合金表面所形成的划痕越长，80目磨料颗粒形成的微划痕长度约为160目磨料的5倍。且球形磨料颗粒所形成的划痕末端堆积较少，其表面线粗糙度低于9.5 μm；具有棱边的磨料颗粒所形成的划痕有唇状或鳞片状金属堆积，其表面线粗糙度在9.5～13.0 μm间；柱体形的磨料颗粒冲击形成的划痕带有尖锐的棱角，其表面粗糙度大于13.0 μm。      

超细晶纯钛的微动疲劳特性

利用自行设计的微动疲劳实验夹具装置研究超细晶纯钛在柱面-平面接触下的微动疲劳特性,分析循环应力对其微动疲劳寿命的影响,通过观察接触区磨损和断口形貌,分析其微动损伤机制。结果表明,当法向载荷不变时,超细晶纯钛的微动疲劳寿命随着循环应力的增加而减小,比常规疲劳寿命更小。微动疲劳裂纹于接触区边缘萌生,磨损区破裂严重且附着有磨粒,在磨粒磨损作用下加速了试样的疲劳失效。断口同时呈现出疲劳形貌和微动形貌,形貌从平滑转向粗糙直至断裂,裂纹由小变大,裂纹扩展速率也逐渐增加,且在裂纹扩展区存在二次裂纹；由于受力不均在裂纹扩展区与断裂区之间存在山脊状形貌。     

山西沁水盆地3号煤层水平井施工技术探究

近年来,建设单位在山西沁水盆地郑庄区块部署较多的煤层气水平井,目的层为3号、15号煤层气储层,施工中受技术及地层因素的影响,多次出现煤层顶板坍塌、卡钻甚至埋钻事故,严重地影响了钻井效率,造成极大的经济损失。针对施工中存在的技术问题,采用无线随钻仪器双伽马技术来控制施工轨迹沿煤层夹矸钻进的方法来指导施工,通过对仪器电信号数据的充分辨识和利用,基本摸清了煤层赋存形态及结构,控制了施工轨迹;采用多种方法进行通井、遇阻划眼,确保井眼圆滑通畅。取得了快速、安全、高效的施工效果,达到了顺利完井的目的,解决了该区块水平井施工的技术难题,对该区水平井的施工具有指导意义。     

In situ direct growth of flower-like hierarchical architecture of CoNi-layered double hydroxide on Ni foam as an efficient self-supported oxygen evolution electrocatalyst

Exploring economical, efficient and robust electrocatalysts toward the oxygen evolution reaction (OER) is one of the key issues in water splitting technology. Nanostructure engineering of electrocatalysts and hybridizing active species with a conductive support represent powerful strategies to enhance the electrocatalytic performance. Herein, we report a facile one-step solvothermal method to directly grow 3D CoNi-layered double hydroxide (LDH) flower-like architectures onto porous and conductive Ni foam (NF) substrate (denoted as CoNi-LDH(2:1)@NF hereafter). The flower-like hierarchical architecture of CoNi-LDHs with open configurations endows CoNi-LDH microflowers with sufficient accessible active sites and efficient mass diffusion paths. Moreover, the in situ direct growth manner ensures an intimate contact between the electroactive CoNi-LDHs and NF substrate and thus the charge transfer resistance is reduced. Consequently, the as-formed self-supported and binder-free electrode of CoNi-LDH(2:1)@NF exhibits an outstanding OER performance with a small overpotential of 283 mV at a relatively large current density of 50 mA cm⁻² and a remarkable long-term electrochemical durability in 0.1 M KOH solution, holding great promise in practical scale-up water electrolysis. The present study may open a new avenue to design and fabricate cost-effective and high-efficiency electrocatalysts for energy conversion applications.     

Nitrogen and sulfur doped ZnAl layered double hydroxide/reduced graphene oxide as an efficient nanoelectrocatalyst for oxygen reduction reactions

In this work, to synthesize an efficient and low-cost electrocatalysts for Oxygen Reduction Reaction (ORR), the combination of N,S-rGO and ZnAl-LDH with several concentrations is studied for the first time. For this purpose, six electrocatalysts including Graphene Oxide (GO), functionalized reduced graphene oxide with nitrogen and sulfur atoms (N,S–rGO), Zinc–Aluminum layered double hydroxides (ZnAl-LDH), and ZnAl-LDH/N,S–rGO hybrids in three weight ratios of 1:1, 1:3, and 1:5 (the weight ratio of N,S-rGO is 1) are synthesized by the hydrothermal method. The physical properties, morphology, and structure of the synthesized electrocatalysts are determined by using X-Ray Diffraction (XRD) analysis, Field Emission Scanning Electron Microscope (FESEM), Energy Dispersive X-Ray Analysis (EDX), the Fourier Transform Infrared Spectroscopy (FTIR) and Raman analysis. Electrochemical measurements are implemented by using Cyclic Voltammetry (CV), Linear Scanning Voltammetry (LSV), and chronoamperometric. Also, the electron transfer number is calculated by K-L plot. The obtained results for all samples are compared with the %20 Pt/C commercial catalyst. Based on the results of the physical tests, in addition to the uniform distribution and the correct deposition of the synthesized electrocatalysts, the particle size also reached the nanometer range. According to the electrochemical results, among the synthesized electrocatalysts, the ZnAl-LDH/N,S–rGO with 1:1 wt ratio has the best electrochemical activity. This result indicates a well synergistic and interaction effect between N,S–rGO and ZnAl-LDH for the ORR. The onset potential is obtained to be −0.01 V vs Ag/AgCl. The average of electron transfer number by this electrocatalyst is 3.60, which indicates that it is close to the 4e pathway for the ORR. The electrocatalytic stability was favorable in the alkaline medium. It can be concluded that the Layered Double Hydroxides (LDHs) improve the electrical conductivity, the electrocatalytic activity, the active surface area, and the stability for the oxygen reduction reaction after the combination with carbon bases. To be clear, the combination of N,S-rGO and ZnAl-LDH with several concentrations has been investigated for the first time on the ORR applications. The sensitivity analysis is implemented to determine the optimal concentration. This study proposes a new approach for using N, S-rGO composite to improve the low electron conductivity of LDHs.     

张家峁矿构建双重预防机制的实践

为了将风险控制在隐患形成之前、把隐患消灭在事故前面,以风险管控为核心,通过“基于风险”的PDCA全方位安全管理模式,构建了风险分级管控和隐患排查治理双重预防机制。以张家峁煤矿建立煤矿企业安全生产的长效机制为例,结合该矿在构建双重预防性工作机制方面的创新做法,分析了双重预防性工作机制的形成背景、建设过程及实施方法。分析认为,完善安全生产管理理论体系,能有效预防和遏制重特大事故的发生,对企业安全生产管理起到积极的推动作用。     

基于ANSYS的采煤机摇臂双列圆锥滚子轴承配合精度分析

分析了采煤机摇臂行星机构的结构组成,对采煤机摇臂行星机构的受力情况进行了分析,阐述了双列圆锥滚子轴承内外圈配合精度的选择方法。通过建立三维模型,在ANSYS软件中对比分析了H7/k6和H7/m6配合精度下采煤机摇臂行星机构的刚性数据,得出了摇臂行星机构双列圆锥滚子轴承内圈更适宜采用H7/m6配合精度的结果。     

基于神经网络遗传算法的磁粒研磨TC4材料工艺参数优化

目的利用磁粒研磨光整加工技术提高TC4材料的表面质量,使用BP神经网络建立加工工艺参数和表面粗糙度之间的关系,使用遗传算法寻找最优工艺参数组合。方法使用双级雾化快凝法制备的金刚石磁性磨料对TC4材料工件进行L9(34)正交试验,借助Matlab软件建立结构为4-12-1的BP神经网络,根据正交试验结果训练BP神经网络,探究工艺参数主轴转速n、加工间隙δ、进给速率v、磨料粒径D和表面粗糙度Ra之间的关系。使用决定系数R2评判BP神经网络训练结果,基于训练好的BP神经网络使用遗传算法对工艺参数进行全局寻优。使用计算得到的优化工艺参数进行试验,并测量工件表面粗糙度,与计算得到的表面粗糙度做对比。结果BP神经网络的预测误差在1.5%以下,通过决定系数R2优化的模型可在训练样本较少的情况下进行有效可靠的预测。遗传算法优化的结果,在主轴转速为1021.26 r/min、加工间隙为1.52 mm、进给速率为1.04 mm/min、磨料粒径为197.91μm下,获得最佳表面粗糙度,为0.0951μm。使用调整后的工艺参数,在主轴转速为1020 r/min、加工间隙为1.50 mm、进给速率为1.0 mm/min、磨料粒径为196μm下,试验得到的表面粗糙度为0.093μm,与计算得到的最佳表面粗糙度误差为2.21%。结论采用磁粒研磨光整加工技术与寻优参数结合,可以有效提高TC4材料加工后的表面质量。