钻井机器人的连续油管钻压和钻速控制模型

连续油管钻井机器人利用机身内外的钻井液压力差作为动力源，可在牵引连续油管的同时加载钻压。以钻井机器人为基础，建立连续油管钻柱动力学模型，并推导出通过钻井液排量控制钻压和钻速的单参数控制数学模型；对钻井机器人引入调速回路，建立具有调速功能的钻柱动力学模型；在溢流阀调定压力大于机身内外压差时，推导出利用钻井液排量和节流阀流通面积两种参数控制钻压、钻速的数学模型，在溢流阀调定压力小于机身内外压差时，推导出利用钻井液排量、节流阀流通面积和溢流阀调定压力3种参数控制钻压、钻速的数学模型；以11.43 cm（4.5英寸）井眼为例，对上述3种数学模型进行了分析。分析结果表明：钻压、钻速随钻井液排量的增加基本呈线性增加，在钻井液排量大于0.005 m³/s时，钻井机器人能够向前爬行，在钻井液排量大于0.005 7 m³/s时，钻头能够正常钻进；调节节流阀流通面积和溢流阀调定压力，可以在一定范围内无级调钻压和钻速；3种控制方法相结合，可以实现小排量、大钻压，及大排量、小钻压等钻井参数的控制。以控制模型为基础，针对不同井下工况建立钻进工艺的专家数据库，以钻井机器人为"大脑"，结合井下随钻测量数据就能够实现闭环控制，自动钻进。     

美育在高职计算机教学中的渗透研究

美育作为素质教育的重要组成部分，与德育、智育、体育相辅相成，互相促进。在高职计算机基础教学中渗透 美育，有助于学生综合素质的提升。对高职美育工作现状及美育载体进行了总结，同时探讨了美育如何在计算机基础教学中 渗透。     

Two-level intelligent modeling method for the rate of penetration in complex geological drilling process

The rate of penetration (ROP) model is of great importance in achieving a high efficiency in the complex geological drilling process. In this paper, a novel two-level intelligent modeling method is proposed for the ROP considering the drilling characteristics of data incompleteness, couplings, and strong nonlinearities. Firstly, a piecewise cubic Hermite interpolation method is introduced to complete the lost drilling data. Then, a formation drillability (FD) fusion submodel is established by using Nadaboost extreme learning machine (Nadaboost-ELM) algorithm, and the mutual information method is used to obtain the parameters, strongly correlated with the ROP. Finally, a ROP submodel is established by a neural network with radial basis function optimized by the improved particle swarm optimization (RBFNN-IPSO). This two-level ROP model is applied to a real drilling process and the proposed method shows the best performance in ROP prediction as compared with conventional methods. The proposed ROP model provides the basis for intelligent optimization and control in the complex geological drilling process.     

Multicellular Tumor Spheroids (MCTS) as a 3D In Vitro Evaluation Tool of Nanoparticles

Multicellular tumor spheroid models (MCTS) are often coined as 3D in vitro models that can mimic the microenvironment of tissues. MCTS have gained increasing interest in the nano‐biotechnology field as they can provide easily accessible information on the performance of nanoparticles without using animal models. Considering that many countries have put restrictions on animals testing, which will only tighten in the future as seen by the recent developments in the Netherlands, 3D models will become an even more valuable tool. Here, an overview on MCTS is provided, focusing on their use in cancer research as most nanoparticles are tested in MCTS for treatment of primary tumors. Thereafter, various types of nanoparticles—from self‐assembled block copolymers to inorganic nanoparticles, are discussed. A range of physicochemical parameters including the size, shape, surface chemistry, ligands attachment, stability, and stiffness are found to influence nanoparticles in MCTS. Some of these studies are complemented by animal studies confirming that lessons from MCTS can in part predict the behaviour in vivo. In summary, MCTS are suitable models to gain additional information on nanoparticles. While not being able to replace in vivo studies, they can bridge the gap between traditional 2D in vitro studies and in vivo models.     

Role of weave design on the mechanical properties of 3D woven fabrics as reinforcements for structural composites

3D fabrics as reinforcement can be manipulated in discrete numbers of weave designs in order to earn maximum gain so that the desired mechanical properties of the composites can be achieved eventually for particular end use. Thus interest has been focused to investigate tensile, impact and knife penetration properties of 3D orthogonal and interlock structures of different weave designs by varying their binder interlacement patterns keeping stuffer binder ratio constant. The tensile properties were effectively influenced by the linear densities as well as crimp of load bearing tows, which were determined by the weave design of the fabric. The compact structure generated from regular weave pattern in case of 1 × 1 plain orthogonal and 1 × 1 plain interlock fabrics exhibited better impact energy absorption. Owing to higher values of peak energy in the knife penetration test, it is revealed that more is the number of fibres in the in-plane direction better is the protection.     

不同水针口径下的水辅助注射成型数值模拟

使用流体力学软件，对使用溢流法的三维120 °~150 °弯曲圆管件进行了水辅助注射成型可视化研究。分别改变水针口径尺寸、注水延迟时间、注水压力与熔体温度，分析其对制件内部水穿透行为的影响。结果表明，水针口直径为7 mm时，能显著增加制件的内部穿透长度并得到残余壁厚更薄的制件；受水针结构影响，注水延迟时间为1 s、注水压力为8 MPa、熔体温度为250 ℃时，水穿透长度最优能增长400 %，壁厚减少20 %；在注水延迟时间为1 s、注水压力为10 MPa、熔体温度为230 ℃时，穿透长度最大达到298 mm；注水延迟时间为1 s、注水压力为8 MPa、熔体温度为250 ℃时，比熔体温度为210 ℃和230 ℃的实验组受水针影响严重；缩短注水延迟时间、增加注水压力、升高熔体温度都能有效增大制件的中空率，成型出更薄的管件，但是水针对水辅助注射成型的影响不容忽视，其微小变化能极大地改变成型制件的内部型腔，有效提高水穿透行为的效率。     

高性能计算分析技术在大型钠冷快堆屏蔽设计中的应用

钠冷快堆堆容器是一体化的池式结构，由众多堆内构件组成且结构复杂，堆芯到生物屏蔽外中子输运过程中各向异性明显且深穿透问题严重，大尺度范围下三维S_N方法计算是制约快堆屏蔽设计的瓶颈。通过将三维SN程序与高性能计算技术相结合，采用并行计算方法可解决快堆堆本体内各向异性的三维深穿透屏蔽问题。本文以中国示范快堆（CFR600）堆本体为研究对象，采用JSNT-CFR程序详细计算了堆本体内的中子注量率、光子注量率、剂量率，并将计算结果与已有的二维程序设计结果进行比较。结果表明，将传统屏蔽计算方法与高性能计算相结合，能满足CFR600堆本体屏蔽计算精度要求，获得更为全面的三维展示效果，在计算模型复杂、粒子穿透深度等复杂问题的屏蔽计算上具有较明显的优势，为大型钠冷快堆屏蔽设计提供有力支撑。     

高水电比重系统随机电力电量平衡模型与算法

针对高水电比重系统中电力电量平衡问题,首先考虑利用典型周负荷曲线进行电力电量平衡分析,以更好地计及工作日和非工作日不同的负荷曲线对可调水电站库容及火电站开机的影响。为恰当考虑风电场和光伏电站出力的不确定性和波动性,建立了基于随机优化的随机电力电量平衡模型,从概率的角度更好地分析和衡量风光电站对电量平衡的贡献。为方便该模型的求解,对非线性的水电转换函数进行线性化处理,得到混合整数规划模型,采用CPLEX对模型进行求解。以某高水电比重系统作为算例进行仿真分析,验证了所提随机电力电量平衡模型与算法的正确性和有效性,从概率的角度定量分析了风光电站的电量贡献。     

Jet Formation and Penetration Study of Double-Layer Shaped Charge

A theoretical analysis on detonation wave propagation in a double-layer shaped charge (DLSC) is performed. Numerical simulations using the AUTODYN software are carried out to compare the distinctions between jet formations in DLSC and ordinary shaped charge (OSC), in particular, the OSC made using a higher detonation velocity explosive, which is treated as the outer layer charge in the DLSC. The results show that the improved detonation velocity ratio and radial charge percentage of outer-to-inner layer charge are conducive to the formation of a convergent detonation wave, which contributes to enhancement of jet tip velocity in DLSC. The thickness and mass percentages of liner flowing into jet in DLSC closely follow the exponential distribution along the radial direction, but the percentages in DLSC and the mass of effective jet, which have significant influence on the penetration depth, are lower than those in OSC with the outer layer charge. This implies that the total charge energy is the major factor controlling the effective jet formation, which is confirmed by the verification tests using flash X-ray system and following penetration tests. The numerical simulation and test results compare well, while penetration test results indicate that the performance of DLSC is not better than that of OSC with the outer layer charge, due to the differences in jet formation.