基于化学监督的超(超)临界机组关键控制节能指标分析及建议

针对超(超)临界机组参数提高、材质升级,化学技术监督中的监督指标对机组经济性和可靠性影响较大的问题,本文通过机组典型案例分析、技术监督报告、现场实测等,对目前化学监督中影响较大的、关键的技术指标进行了系统性的分析研究。研究结果找出了6项化学监督中超(超)临界机组关键的、影响较大的控制监督指标,且提出了指标控制值和控制方法。这项系统性研究分析方法对指导超(超)临界机组化学监督具有重要的借鉴作用,以控制超(超)临界机组因参数提高和材质升级带来的新问题和新挑战。     

CLOI-NET: Class segmentation of industrial facilities’ point cloud datasets

Shape segmentation from point cloud data is a core step of the digital twinning process for industrial facilities. However, it is also a very labor intensive step, which counteracts the perceived value of the resulting model. The state-of-the-art method for automating cylinder detection can detect cylinders with 62% precision and 70% recall, while other shapes must then be segmented manually and shape segmentation is not achieved. This performance is promising, but it is far from drastically eliminating the manual labor cost. We argue that the use of class segmentation deep learning algorithms has the theoretical potential to perform better in terms of per point accuracy and less manual segmentation time needed. However, such algorithms could not be used so far due to the lack of a pre-trained dataset of laser scanned industrial shapes as well as the lack of appropriate geometric features in order to learn these shapes. In this paper, we tackle both problems in three steps. First, we parse the industrial point cloud through a novel class segmentation solution (CLOI-NET) that consists of an optimized PointNET++ based deep learning network and post-processing algorithms that enforce stronger contextual relationships per point. We then allow the user to choose the optimal manual annotation of a test facility by means of active learning to further improve the results. We achieve the first step by clustering points in meaningful spatial 3D windows based on their location. Then, we apply a class segmentation deep network, and output a probability distribution of all label categories per point and improve the predicted labels by enforcing post-processing rules. We finally optimize the results by finding the optimal amount of data to be used for training experiments. We validate our method on the largest richly annotated dataset of the most important to model industrial shapes (CLOI) and yield 82% average accuracy per point, 95.6% average AUC among all classes and estimated 70% labor hour savings in class segmentation. This proves that it is the first to automatically segment industrial point cloud shapes with no prior knowledge at commercially viable performance and is the foundation for efficient industrial shape modeling in cluttered point clouds.     

基于涡动相关法的沉积物-水界面氧通量与水动力条件响应关系

沉积物-水界面是物质参与环境地球化学循环和生物耦合的"热区",水动力条件是沉积物-水界面物质交换的关键影响因素。溶解氧作为常用的水质评价指标,对调节生物化学进程有重要作用,因此本文采用涡动相关法这种非侵入式通量测量技术开展室内试验研究,探究沉积物-水界面氧通量与水动力条件的响应关系。结果表明:随着水体紊动增加(采用Batchelor尺度表征),扩散边界层厚度减小,氧通量增大。分析室内试验和相关研究中水动力条件、扩散边界层厚度及氧通量的关系,发现扩散边界层厚度与Batchelor尺度呈正相关关系,拟合结果表明可以用Batchelor尺度近似表示扩散边界层厚度;氧通量与扩散边界层厚度呈负相关关系,且当扩散边界层厚度小于0.5 mm时,扩散边界层厚度变化对氧通量影响更强烈,当厚度大于0.5 mm后,氧通量基本保持稳定。     

整体壁板离散填料滚弯成形有限元模拟

具有一定曲率外形的铝合金整体壁板属于典型的多筋零部件,传统弯曲成形工艺成形困难,容易产生多种缺陷。提出了离散填料辅助滚弯成形整体2A12T4铝合金壁板滚弯工艺,并通过实验与整体填料滚变成形进行了对比,同时采用有限元模拟技术,探究了离散填料辅助整体壁板滚弯成形中的影响因素。研究结果表明:填料数量、上下垫板厚度等因素对成形性能影响较大,填料在3~6块时成形稳定,可以有效地避免筋条屈曲与失稳;随垫板厚度增加,壁板表面圆弧更加光滑、连续,但是回弹性增强;上下垫板分别在10~20 mm厚度时,综合性能较好。通过离散填料辅助滚弯技术可以成形出质量较高的整体壁板。     

可控中子孔隙度测井仪器设计

源距与屏蔽体厚度是直接影响可控中子孔隙度测井仪器测量准确性的重要参数。源距不仅影响测井仪器的测量误差，还影响测井仪器对地层孔隙度的灵敏度。屏蔽体厚度是保障测井响应完全反映地层的重要参数。从灵敏度、屏蔽率以及误差3个方面确定可控中子孔隙度测井仪器的源距与屏蔽体厚度。研究结果表明:近探测器源距越小，测井仪器灵敏度越高；近远探测器的间距对测量误差的影响随间距的增大，先减小再增大；当屏蔽率在70%以上且屏蔽率随厚度的变化较为缓慢时的屏蔽体厚度可作为屏蔽体最低厚度。     

基于双边市场理论的云制造平台定价策略

基于双边市场理论,分析了垄断的云制造平台在收取会员费和交易费模式下的最优定价策略,并利用数值仿真分析了两种收费模式下平台最优利润的差异。结果表明:两种模式下的单边最优定价均与缴费方的自网络外部性系数和免费方的交叉网络外部性系数负相关,与免费方用户数量正相关,双边最优定价受各参数影响方向取决于供需方各参数的相对大小;单边定价对象为用户数量相对较多一方,平台两边用户数量相对平衡时,单边最优定价等于双边最优定价,双边定价时的平台最优利润高于单边定价;最优定价策略由平台内交易次数决定,交易次数较多时双边收取交易费模式更优,交易次数较少时双边收取会员费更优,交易次数临界值取决于平台内网络效应和用户数量。     

表面形貌对粗糙接触界面流体润滑特性的影响

为探究不同表面形貌对粗糙接触界面液体润滑特性的影响，基于有限差分法结合雷诺方程和膜厚方程，研究阶梯形貌、波纹形貌、随机形貌和峡谷形貌4种不同粗糙接触界面液体润滑时的载荷分布及规律。研究发现：4种粗糙表面的三维载荷分布规律都与其表面形貌相对应，在波“峰”处载荷大，摩擦力随载荷的增大而增大，在波“谷”载荷小，摩擦力随载荷减小而减小；4种粗糙表面的载荷随表面展开面积比的变化趋势却有所不同；随表面展开面积比的增大，阶梯形貌表面的载荷呈线性增大，波纹形貌表面的载荷基本不变，随机分布形貌表面的载荷呈增大趋势，峡谷形貌表面的载荷呈先增大后减小的变化趋势。研究结果可以进一步补充现有表面形貌表征和流体润滑等相关研究理论。     

Thermodynamic parameters of amitriptyline hydrochloride–additives at cloud point: effects of the ethanol–water mixed media

Abstract

Addition of organic solvents is known to change the properties of amphiphiles through modification of bulk phase. Amitriptyline hydrochloride (AMT) is a tricyclic amphiphilic drug which is usually used as an antidepressant. In drug delivery, the cloud point (CP) of the drug is an important parameter. This article discusses the effects of ethanol–water (EtOH–WR) compositions on the energetic parameters, such as changes in Gibbs energy of clouding (Δ_sG⁰), enthalpy of clouding (Δ_sH⁰), and entropy of clouding (TΔ_sS⁰) of AMT-additive systems. Monovalent alkali halide salts, cationic conventional surfactants, and gemini surfactants were used as additives in the EtOH–WR mixed media whose compositions were varied between 0 and 15% (w/w). The Δ_sG⁰ values are positive for all the additives and the values decrease with the rise in mole fractions of the additives. The Δ_sH⁰ and TΔ_sS⁰ were noted to be positive except for KF in 15% EtOH–WR mixed media.     

Evolution of internal cracks and residual stress during deposition of TBC

Thermal barrier coating (TBCs) are ceramic coatings that are deposited on metallic substrates to provide high thermal resistance. Residual stress is among the critical factors that affect the performance of TBCs. It evolves during the process of coating deposition and in-service loading. High residual stresses result in significant cracking and premature delamination of the TBC layer. In the present study, a hybrid computational approach is used to predict the evolution of internal cracks and residual stress in TBC. Smooth particle hydrodynamics (SPH) is first used to model the deposition of yttria-stabilized zirconia (YSZ) layer that contains various interfaces and micropores on a steel substrate. Then, three-dimensional (3D) finite element analysis is utilized to predict the evolution of internal cracks and residual stress in the ceramic coating layer. It is found that multiple cracks emerge during the solidification of the coating layer due to the development of high tensile (quenching) stresses. The cracking density is higher at regions near the coating interface. It is also found that compressive (residual) stresses are developed when the deposited coating is cooled to room temperature. The residual stress state is equibiaxial and nonlinear across the thickness/width of the TBC layer. The residual stress profile predicted compares well with that of hole drilling experiments.