Classification and prediction of burr formation in micro drilling of ductile metals

In the micro drilling of precision miniature holes, the formation of exit burrs is a topic of interest, especially for ductile materials. Because such burrs are difficult to remove, it is important to be able to predict various burr types and to employ burr minimisation schemes that consider burrs’ micro-scale characteristics. In the present work, an artificial neural network (ANN) was used to predict the formation of burrs in the micro drilling of copper and brass, along with burr formation/optimisation analysis specialised for micro drills. The influence of cutting conditions, including cutting speed, feed and drill diameter, upon exit micro burr characteristics such as burr size and type was observed, analysed and classified. Based on the results, an empirical equation to predict micro burr height is proposed herein. The classification results were compared with conventional burr cases using burr control charts. Then, micro burr types were predicted by means of an ANN, using the influential parameters as input vectors. The usefulness of the proposed scheme was demonstrated by comparing the experimental and prediction/analysis results.     

采用蚁群算法及移动Agent的网格服务发现设计

在对网格进行分簇的基础上,设计了一种基于蚁群算法及移动Agent的网格服务发现机制模型。通过使用移动Agent技术收集网格服务信息,并将收集到的网格服务信息摘要进行跨簇缓存,以提高蚁群算法中信息素信息的准确性,并且在进行服务查找时采用之前缓存的服务摘要信息作为蚁群算法的启发因子,从而提高网格服务发现的准确性以及发现速度,进而提高网格使用效率。通过仿真实验验证了所述服务发现机制的有效性。     

Finite time agreement protocol design of multi‐agent systems with communication delays

In this paper, the finite‐time agreement problem of continuous‐time multi‐agent systems with communication delays is considered. First, the multi‐agent system researched in the paper is described. Second, some notations and lemmas used in the paper are given. Then, agreement protocols for continuous (but non‐smooth) multi‐agent systems are proposed, which ensure that the states of agents reach agreement in finite time. The stability analysis and simulations are presented to show the effectiveness of the method. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

火电厂用中水水质问题及改善措施的分析

针对火电厂用于循环冷却水和锅炉补给水的中水水质不稳定的问题,介绍通过改进污水处理阶段的工艺和深度处理必电厂初级阶段中水以提高中水水质的措施,对节能减排、保护环境吴有重要意义.     

Establishing In-House Cutoffs of CSF Alzheimer’s Disease Biomarkers for the AT(N) Stratification of the Alzheimer Center Barcelona Cohort

Background: Clinical diagnosis of Alzheimer’s disease (AD) increasingly incorporates CSF biomarkers. However, due to the intrinsic variability of the immunodetection techniques used to measure these biomarkers, establishing in-house cutoffs defining the positivity/negativity of CSF biomarkers is recommended. However, the cutoffs currently published are usually reported by using cross-sectional datasets, not providing evidence about its intrinsic prognostic value when applied to real-world memory clinic cases. Methods: We quantified CSF Aβ1-42, Aβ1-40, t-Tau, and p181Tau with standard INNOTEST^® ELISA and Lumipulse G^® chemiluminescence enzyme immunoassay (CLEIA) performed on the automated Lumipulse G600II. Determination of cutoffs included patients clinically diagnosed with probable Alzheimer’s disease (AD, n = 37) and subjective cognitive decline subjects (SCD, n = 45), cognitively stable for 3 years and with no evidence of brain amyloidosis in 18F-Florbetaben-labeled positron emission tomography (FBB-PET). To compare both methods, a subset of samples for Aβ1-42 (n = 519), t-Tau (n = 399), p181Tau (n = 77), and Aβ1-40 (n = 44) was analyzed. Kappa agreement of single biomarkers and Aβ1-42/Aβ1-40 was evaluated in an independent group of mild cognitive impairment (MCI) and dementia patients (n = 68). Next, established cutoffs were applied to a large real-world cohort of MCI subjects with follow-up data available (n = 647). Results: Cutoff values of Aβ1-42 and t-Tau were higher for CLEIA than for ELISA and similar for p181Tau. Spearman coefficients ranged between 0.81 for Aβ1-40 and 0.96 for p181TAU. Passing–Bablok analysis showed a systematic and proportional difference for all biomarkers but only systematic for Aβ1-40. Bland–Altman analysis showed an average difference between methods in favor of CLEIA. Kappa agreement for single biomarkers was good but lower for the Aβ1-42/Aβ1-40 ratio. Using the calculated cutoffs, we were able to stratify MCI subjects into four AT(N) categories. Kaplan–Meier analyses of AT(N) categories demonstrated gradual and differential dementia conversion rates (p = 9.815⁻²⁷). Multivariate Cox proportional hazard models corroborated these findings, demonstrating that the proposed AT(N) classifier has prognostic value. AT(N) categories are only modestly influenced by other known factors associated with disease progression. Conclusions: We established CLEIA and ELISA internal cutoffs to discriminate AD patients from amyloid-negative SCD individuals. The results obtained by both methods are not interchangeable but show good agreement. CLEIA is a good and faster alternative to manual ELISA for providing AT(N) classification of our patients. AT(N) categories have an impact on disease progression. AT(N) classifiers increase the certainty of the MCI prognosis, which can be instrumental in managing real-world MCI subjects.     

高强度HPVC材板及其断裂分形的研究

对经硅烷偶联剂处理的碳纤维填充增强HPVc板材的力学性能进行研究,并对拉伸断裂断面的分形维数进行测量分析,详细论述了数盒子法计算分形维数的原理和计算机的模拟过程。结果表明,板材拉伸强度达到100MPa以上,冲击强度为25kJ／m^2,材料拉伸强度与断面视图的分维数呈正线性关系。     

在移动IP网络中实现Anycast服务的一种通信模型

提出了一种建立在移动IP网络中的Anycast通信模型,深入分析和讨论了该模型的可行性及其有效性,并论证此模型可以支持在移动IP网络中建设大规模的Anycast组。     

特厚表土层钻井井壁底的数值计算与试验研究

依据山东万福矿井的地质条件,采用Ansys软件进行削球式井壁底模型计算,提出了最佳圆心角的概念,得出了最佳受力形式削球式井壁底结构.通过模型试验,揭示了井壁底的破坏形式和极限承载力,为今后特厚表土层钻井井壁底的应用提供理论与试验基础.     

大型同步发电机内全流场数值计算与分析

依据计算流体力学理论,应用有限体积法对大型同步发电机定子通风沟流体速度进行了计算与分析,并且对全流场中,由于转子旋转离心作用转子内流体速度(转子旋转流体场)对定子径向通风沟流体速度的影响进行了仿真计算与分析,得出一些有益的结论.     

加入CH4促进选择性非催化还原的CFD模拟研究

在实验研究和机理分析基础上利用计算流体动力学(computational fluid dynamics,CFD)软件Fluent,结合简化的反应机理模型,对沉降炉脱除NOx实验过程进行了模拟研究。模拟结果表明,在较低反应温度(1 073 K)下,喷入的氨基还原剂基本不与烟气中的NOx反应,形成较高的氨泄漏;而在较高的反应温度(1 373 K)下,喷入的氨基还原剂部分被烟气中的氧气氧化为NOx,导致NOx脱除效率较低。加入微量CH4能够促进较低温度下的选择性非催化还原(selective non-catalytic reduction,SNCR)反应,并减少氨泄露。在较高温度下SNCR反应速率加快,仍有部分NH3被氧化为NOx,但总体NOx脱除效率有所提高。模拟结果与实验结果的对比分析表明,采用简化的反应模型和CFD结合可以对常规SNCR反应和加入CH4的脱除NOx反应过程进行较为准确的模拟。