Hamiltonian direct differentiation and adjoint approaches for multibody system sensitivity analysis

The design of multibody systems involves high fidelity and reliable techniques and formulations that should help the analyst to make reasonable decisions. Given that constrained equations of motion for the simplest of multibody systems are highly nonlinear, determining the sensitivity terms is a computationally intensive and complex process that requires the application of special procedures. In this article, two novel Hamiltonian-based approaches are presented for efficient sensitivity analysis of general multibody systems. The developed direct differentiation and the adjoint methods are based on constrained Hamilton's canonical equations of motion. This formulation provides solutions, which are more stable as compared to the results of direct integration of equations of motion expressed in terms of accelerations due to a reduced differential index of the underlying system of differential-algebraic equations and explicit constraint imposition at the velocity level.The proposed Hamiltonian based methods are both capable of calculating the sensitivity derivatives and keeping the growth of constraint violation errors at a reasonable rate. The Hamiltonian-based procedures derived herein appear to be good alternatives to existing methods for sensitivity analysis of general multibody systems.     

A review on China's wind power accommodation in the background of “Internet+” strategy

The consumption of fossil fuel has resulted in global warming, environmental pollution, and many other crucial problems. Replacing fossil fuel with renewable energy has become an important issue over the recent decades. As a renewable clean energy, wind power is a relatively well‐developed and promising energy method for current technology development in China. Under the background of growing demand for electricity and enhancing awareness for environmental, the “Internet+ wind power” concept has emerged based on both the wind power's characteristics that renewable and non‐polluting, and the rapid development of the Internet in China. Through querying an amount of literature and information, this paper reveals the resource endowment and policy environment about wind power and energy Internet at first. Then, the PEST‐SWOT strategy analysis model is used to analyze the internalities (strengths and weaknesses) and the externalities (opportunities and threats) of “Internet+ wind power”. According to these results, the paper puts forward some measures (development and utilization, business mode) for wind power accommodation. Then some policy recommendations have been proposed. The government should provide favorable conditions for wind power grid with the “Internet+” technology innovation.     

On monitoring the process mean of autocorrelated observations with measurement errors using the w-of-w runs-rules scheme

Runs-rules have been widely used since the 1950s in industrial and nonindustrial process monitoring applications to improve the performance of basic and other traditional monitoring schemes. However, none of the studies on runs-rules have accounted for a process with a combined effect of measurement errors and autocorrelation. Hence, in this paper, the use of the w-of-w runs-rules to improve the performance of the Shewhart $\overline{X}$ scheme using an additive model with a constant variance and a first-order autoregressive model is proposed. To reduce the combined negative effect of measurement errors and autocorrelation, we implement a sampling strategy based on rational subgroups in which (a) multiple measurements per item are taken (instead of a standard single measurement) and (b) non-neighboring observations are gathered. Moreover, the latter sampling strategy is incorporated into the values of probability elements of a Markov chain matrix which is used to derive some closed-form expressions for the zero- and steady-state run-length distribution. The main finding of this study is that, with respect to some overall performance measures, the proposed scheme outperforms the existing Shewhart $\overline{X}$ scheme by a significant margin. A real-life example is used to illustrate the practical implementation of the proposed scheme.     

江苏沿海滩涂开发优化的动力机制研究

江苏沿海滩涂开发具有悠久的历史,但是传统的滩涂开发模式已经不能适应江苏省"强富美高"的发展新理念,现有的滩涂开发模式亟需优化升级。经过对由经济发展、生产方式变革、自然环境等要素构成的滩涂优化开发内源动力以及由科技创新、资金保障、政策制度等要素构成的外源动力进行分析,并对其连续动力机制进行深入研究,发现滩涂开发在其内外源动力的共同作用下可以逐步缓解人地矛盾,实现经济效益和富民的效应;但是开发与环境之间互为影响,甚至可能与环境美的目标相反。研究结果表明:在滩涂开发过程中,应坚持生态优先、绿色发展,加强政府引导、理顺机制,注重高新产业、科技投入,围绕临海能源、绿化造林,只有这样才能推动滩涂开发动力机制不断正向循环,实现经济社会的可持续发展。     

换热网络优化中换热单元生成频次的影响分析及策略改进

换热单元的生成频次对换热网络优化有直接的影响，分析其机理可以指导求解算法的改进。本文采用节点非结构模型及强制进化随机游走算法，通过设置不同的换热单元生成概率与生成个数以改变换热单元的生成频次，观察并记录个体在优化过程中产生的年综合费用变化情况。发现不同生成频次下整型变量和连续变量的相对优化频率发生了变化，从而改变了整体优化过程，并且与个体当前优化状态不适应的生成频次会造成相对优化频率不平衡、优化结果较差。基于此，本文提出了一种具有生成参数动态调节策略的换热单元生成方式，在优化过程中根据个体状态实时调整换热单元的生成概率与生成个数，平衡整型变量与连续变量的相对优化频率。最后，采用15SP、10SP和20SP算例进行验证，换热网络的年综合费用较文献结果分别下降了1.06%、0.16%、0.68%，验证了该策略使得换热单元的生成频次更为合理，有效地提高了算法的优化效率。     

Nonlinear optimization strategy based on multivariate prediction capability ratios: Analytical schemes and model validation for duplex stainless steel end milling

Given the complex nature of their phenomena and interactions, industrial processes often have multiple variables of interest, usually grouped into critical-to-quality and critical-to-performance characteristics. These variables often have significant correlations, which make engineering problems multivariate. For this reason, Response Surface Methodology, coupled with multivariate techniques, has been widely used as a logical roadmap for modeling and optimization of the characteristics of interest. However, the variability and prediction capability of the numerical solutions obtained are almost always neglected, reducing the likelihood that numerical results are indeed compatible with observable process improvements. To fill this gap, this paper proposes a nonlinear multiobjective optimization strategy based on multivariate prediction capability ratios. For this, rotated Factor Analysis is used as the multivariate technique for grouping process characteristics and composing capability ratios, so that the prediction variance is taken as the natural variability of the process modeled and the expected value distances to the nadir solutions of the latent variables are taken as the allowed variability. Normal Boundary Intersection method, combined with Generalized Reduced Gradient algorithm, is used as the numerical scheme to maximize the prediction capability of Pareto optimal solutions. To illustrate the feasibility of the proposed strategy, we present a case study of end milling without cutting fluids of duplex stainless steel UNS S32205. Rotatable Central Composite Design, with three cutting parameters, was employed for data collection. Traditional multivariate and proposed approaches were compared. The results demonstrate that the proposed optimization strategy is able to provide solutions with satisfactory prediction capability for all variables analyzed, regardless of their convexities, optimization directions, and correlation structure. In addition, while critical-to-quality characteristics are more difficult to control, they have been favored by the proposed optimization regarding prediction capability, which was a desirable result.     

基于网络学习行为聚类分析的在线课堂优化策略研究

利用聚类分析法对网络学习行为分类，从而挖掘不同类型学习者在学习行为和学习效果间的差异。以大学计算机公共课《数据库技术及应用》为例，综合学习者学习行为类别差异、在线课程内容组织以及课程特点等要素为在线课堂进一步发展提供优化策略。     

基于斯特林制冷机的文物恒湿展柜设计及实验研究

博物馆文物保存过程中相对湿度对文物的影响尤其重要，因此针对目前小型展柜广泛采用的半导体制冷存在制冷量小的缺点，结合斯特林制冷机制冷量大、寿命长、安全可靠等优点，设计并搭建了一台基于斯特林制冷的文物恒湿展柜装置，实现对微环境中相对湿度的精确调节。将斯特林制冷机的冷头置于优化设计的水槽中用于控制水温，采用空气与水直接接触的方式控制展柜内空气湿度。结果表明：使用散热片以及小型循环水泵可以大幅提升冷头与水之间的换热效率；合理的风机控制策略可以有效提升展柜湿度调节速度，维持湿度稳定，降低系统能耗；展柜内的相对湿度在45.0%～65.0%之间连续可调，并能保持稳定。     

用于机床减振的磁流变阻尼器优化设计

以三平动冗余驱动并联机床为研究对象,设计了一种具有位移放大功能的磁流变阻尼器,通过Ansys workbench有限元分析软件,对阻尼器的磁路饱和情况进行模拟仿真和分析,使阻尼器的阻尼出力达到最优。研究结果表明,通过优化使磁场分布更加合理,提高了阻尼器的力学性能,优化方法是可行有效的。     

铁碳微电解处理印染废水的效能及机理研究

针对印染废水色度高、成分复杂、难降解等问题，利用铁碳微电解工艺处理该废水，提高其可生化性和处理效率。考察初始pH、铁投加量、铁/碳质量比及反应时间对工艺的影响，通过扫描电子显微镜（SEM）、红外光谱、X射线能谱（EDS）及X射线衍射（XRD）分析反应前后铁碳结构的变化，采用Zeta电位和紫外可见光谱等对比废水处理前后有机物成分的变化，探究印染废水的降解机理。结果表明：在初始pH为4、铁投加量为80 g/L、铁/碳质量比为0.8及反应时间为90 min时，COD、浊度、色度、氨氮和TOC去除率分别为75.48%、87.88%、75.34%、92.01%和81.09%。反应前铁碳反应器的成分以Fe、C为主，活性炭的孔隙结构发达，反应后铁碳表面附着Al、K等其他金属物质和铁的氢氧化物絮体。铁碳微电解工艺可降解酯、醇类有机物为小分子物质，提高废水可生化性。