A numerical scheme based on compact integrated-RBFs and Adams–Bashforth/Crank–Nicolson algorithms for diffusion and unsteady fluid flow problems

This paper presents a high-order approximation scheme based on compact integrated radial basis function (CIRBF) stencils and second-order Adams–Bashforth/Crank–Nicolson algorithms for solving time-dependent problems in one and two space dimensions. We employ CIRBF stencils, where the RBF approximations are locally constructed through integration and expressed in terms of nodal values of the function and its derivatives, to discretise the spatial derivatives in the governing equation. We adopt the Adams–Bashforth and Crank–Nicolson algorithms, which are second-order accurate, to discretise the temporal derivatives. The performance of the proposed scheme is investigated numerically through the solution of several test problems, including heat transfer governed by the diffusion equation, shock wave propagation and shock-like solution governed by the Burgers' equation, and torsionally oscillating lid-driven cavity flow governed by the Navier–Stokes equation in the primitive variables. Numerical experiments show that the proposed scheme is stable and high-order accurate in reference to the exact solution of analytic test problems and achieves a good agreement with published results for other test problems.     

A comparative study on pyrolysis reactivity and gas release characteristics of biomass and coal using TG-MS analysis

Pyrolysis reactivity and gas release characteristics of biomass and coals were comparatively investigated using TG-MS. In addition, chemical compositions and structures of tested samples were determined to correlate pyrolysis gas release characteristic. It was found that pyrolysis reactivity and gaseous product release were hardly varied with pyrolysis heating rate. Furthermore, pyrolysis rates of two biomass samples were greater than those of coals, which were mainly attributed to the chemical compositions and the gaseous product evolution process. The result also showed that gaseous product release during pyrolysis process was related to the presence of different functional groups in samples.     

煤矿井下供电越级跳闸问题的解决方案

为解决煤矿井下供电越级跳闸现象影响煤矿的安全生产问题,在煤矿井下各采区变电所高压防爆配电装置内安装智能终端,实现模拟量(包括电流量、电压量、开入量)的数字化。应用高速光纤通信和纳秒级同步采样技术,可将精确同步采样的数据送至位于控制室的保护主机进行保护逻辑运算,保护动作时,保护主机通过光纤网络向智能终端发出命令,实现保护跳闸。该井下保护系统经常村煤矿实际投运,取得了良好的效果。     

Robustness analysis by a probabilistic approach for propagation of uncertainties in a component mode synthesis context

Modelling uncertainties in an industrial application require a thorough knowledge of their sources and types. Uncertainties can be split into aleatory and epistemic types. Using parametric and non-parametric methods successively can be an adapted approach to model these uncertainties types on a given finite elements model (FEM). However, we propose in this paper to proceed more appropriately by introducing a hybrid approach combining the parametric and non-parametric methods. This approach consists of applying, on a given FEM, parametric and non-parametric methods simultaneously with respect to uncertainties types of each model region. Complexity and size of industrial FEMs often impose model reductions. This introduces necessarily the problem of reduction basis robustness. We are interested in the effectiveness of two methods for model reduction in the case of a hybrid model of uncertainties. We consider the case of component mode synthesis (CMS) based on normal modes of clamped interfaces components. Therefore, we analyze robustness of two methods based on improved Craig-Bampton's basis: the first one is enriched by static residual vectors (ESRV), the second one is a variant of the combined approximations method (VCA) adapted to CMS. Finally, a dynamic application on a railway electric motor stator, allows comparing methods' performances in terms of robustness and gain in computing time. Conclusion highlights relevance of the combined approximations method when using a hybrid approach for modelling uncertainties.     

湿法同步脱硫脱硝技术研究现状及发展趋势

燃煤烟气排放的二氧化硫和氮氧化物是重要的大气污染物质,同步脱硫脱硝技术是目前研究的热点。本文主要从吸收剂的成本及脱硫脱硝产物的可资源化利用两个方面对目前广泛研究的湿法同步脱硫脱硝技术进行了综述,并指出资源化同步脱硫脱硝技术是研究的发展趋势。     

一种立式车铣复合加工中心的研制

介绍一种能够五轴联动,具有车削、铣功能,工件一次装夹,可实现五面加工,完成车、镗、铣、钻、攻丝等多种工序复合加工的机床.     

单一反应体系曝气量与污泥质量浓度对同步硝化反硝化的影响

利用自培养硝化污泥与实验室筛选的1株反硝化细菌共培养形成共生污泥,构建膜生物反应器(MBR)单一反应体系同步硝化反硝化系统,得到系统良好同步硝化反硝化曝气量和污泥浓度的最优条件。由试验结果可知:在混合污泥质量浓度(MLSS)6.0~10.0 g/L时,调节曝气量,可以使单污泥同步硝化反硝化总氮(TN)去除率达到85%以上。不同MLSS下,达到最高TN去除率的最佳曝气量随着MLSS增高而向高曝气量偏移。随着MLSS增高,响应因子F变小,由曝气量的变化而引起的TN去除率变化明显变缓,表示MLSS对O2传递的缓冲能力越强。在MLSS为8 g/L条件下,低负荷比较容易达到较高的TN去除率,而高负荷下需要更高的曝气量以获得高的TN去除率,系统适合的NH4+-N负荷范围0~0.30 kg/(m3.d)。MLSS≥3.0 g/L,出水化学需氧量(COD)低于50 mg/L,COD大部分贡献于反硝化所需C源。单一反应体系同步硝化反硝化系统能对负荷的改变作出及时的回应,整体上运行比较稳定。     

六碳糖和五碳糖同步糖化与共发酵的数学模型

Reliable production of biofuels and specifically bioethanol has attracted a significant amount of re-search recently.Within this context,this study deals with dynamic simulation of bioethanol production processes and in particular aims at developing a mathematical model for describing simultaneous saccharification and co-fermentation (SSCF) of C6 and C5 sugars.The model is constructed by combining existing mathematical mod-els for enzymatic hydrolysis and co-fermentation.An inhibition of ethanol on cellulose conversion is introduced in order to increase the reliability.The mathematical model for the SSCF is verified by comparing the model predic-tions with experimental data obtained from the ethanol production based on kraft paper mill sludge.When fitting the model to the data,only the yield coefficients for glucose and xylose metabolism were fine-tuned,which were found to be 0.43 g·g-1 (ethanol/glucose) and 0.35 g·g-1 (ethanol/xylose) respectively.These promising validation results encourage further model application to evaluate different process configurations for lignocellulosic bioetha-nol technology.     

气水比对曝气生物滤池SND的影响

采用两段BAF处理城市污水,探讨了气水比对反应器处理效果的影响.在A段水力负荷为0.81 m/h、气水比为3∶1时,分析了B段气水比分别为3∶1、2∶1和1∶1时反应器的运行情况.结果表明:A段反应器对TN基本上没有去除效果,因NH4+ -N的部分氧化使得出水中NO2--N质量浓度介于0.45～0.70 mg/L之间,...     

基于三位置超声波检测的改进强跟踪 UKF-SLAM 方法研究

针对移动机器人使用超声波传感器检测环境时存在干扰与数据不确定性问题,在分析超声波传感器工作原理和相邻位置检测数据的关联特性后,提出了基于三位置超声波检测的环境轮廓构建方法,利用超声波对室内环境进行建图;再使用改进强跟踪UKF-SLAM将超声波测量数据和移动机器人驱动模型进行滤波融合,得到更准确的位姿信息与地图特征。搭建仿真环境,并通过搭载有超声波传感器的全向轮移动机器人在实验环境内验证。仿真结果表明改进方法与其他算法相比,定位和地图构建的误差降低58.058%。室内实验中,获取环境特征的平均误差降低了50.286 3%,进一步验证了提出算法的可行性与有效性。该方法对机器人同步定位与地图构建有一定参考价值。