Image-based extended finite element modeling of thermal barrier coatings

Further advances in Thermal Barrier Coating (TBC) design are linked with the evolution of numerical models for TBCs. The present paper, therefore, enhances the idea of a currently available FEM package (OOF) that has been designed for microstructural level simulations. The approach of Extended FEM (XFEM) is incorporated in an in-house developed program to account for the existence of cracks in TBCs; both for stress-strain analysis and for heat transfer analysis. The new XFEM program is then employed to carry out the analyses of a YSZ deposit and a multilayered TBC to predict the effective Young's moduli, the overall thermal conductivities, and to assess the fracture behavior of the coating.     

Modelling of the thermomechanical coupling during hot forming of viscoplastic materials

In the present paper, a strategy for solving transient thermoviscoplastic problems is described. The general thermal and mechanical coupling phenomena are discussed by assuming material properties to be temperature-dependent and accounting for the mechanical terms in the non-stationary heat conduction equation. Time integration is carried out with an implicit scheme. An interesting version of the three-field approach is presented to obtain an accurate solution for the stress field. Finally, a global product coupling algorithm, in which the unknown nodal velocities and temperatures are solved with a two-step solution procedure is suggested. The proposed fractional step method partitions the initial coupled problem into an isothermal viscoplastic problem followed by a purely heat conduction problem at fixed configuration. Applications in metal forming analyses involving full thermomechanical coupling conclude the paper.     

车用空调器压缩机前端板铸件壳型铸造工艺实践

对前端板铸件壳型铸造中存在的铸造缺陷,采用优化浇注系统,对铁水进行二次孕育处理,调整碳当量控制在3.90%~4.15%,硅含量降低0.15%~0.20%,使产品抗拉强度≥270MPa,硬度(HB)为187~241,满足用户要求。     

Retrofitting of pedestrian overpass by Truss-Z modular systems using graph-theory approach

Installing pedestrian ramps is a common improvement towards a barrier-free environment. This paper introduces a graph-theoretical method of retrofitting of a single-branch Truss-Z (TZ) ramp in a constrained environment. The results produced by this exhaustive search method are usually ideal and better than those produced previously with meta-heuristic methods.A large case study of linking two sections of the Hongo Campus of Tokyo University using an overpass in an extremely constrained environment is presented. TZ modules with 1:12 (8.3%) slope are used, which is allowable in most countries for ramps for self-powered wheelchairs.The results presented here are highly satisfactory both in terms of structural optimization and aesthetics.Visualizations of the TZ ramp system, composed of 124 units, are presented.     

一种对时间连续数据进行分析查询的SQL扩展语言

在家庭电子医疗平台中,存在生理学时间连续数据,实现对其分析和查询是数据利用的基础。针对这类数据的特点,提出以关系型数据库结构化查询语言SQL为基础,定义相似查询算法,快速有效地从给定信号序列中找出符合某一相似度等级的相似子序列。相似匹配使用了分段聚合近似法和小波变换两种算法,易于进行子序列的相似度分级。实验结果表明,该试验系统能够高效、准确地完成设计功能。     

用两层分类算法进行视频烟雾检测

为提高视频烟雾检测的准确性,提出一种基于概率的两层最近邻自适应度量分类算法(PTLNN)来进行烟雾检测.该算法以最小化平均绝对误差为原则,结合AdaBoost和KNN算法的优势,充分考虑局部和全局的样本分布,能明显提升分类精度.采用离散余弦变换(DCT)和离散小波变换(DWT)两种方式对烟雾特征进行提取,并验证算法性能.通过与传统算法的对比实验发现,采用离散余弦变换并结合PTLNN算法在视频烟雾检测方面具有更好的效果,既满足实时性要求又提高了检测精度.     

Compositional power-aware real-time scheduling with discrete frequency levels

Power consumption remains a hot issue in all areas of computing ranging from embedded systems that rely on batteries to large scale data centers where reducing the power consumption of computing devices directly affects not only the management cost, but also contributes to a greener computing environment. The power-aware real-time scheduling problem has recently been addressed for a compositional framework with periodic task model under the assumption that a processor can continuously vary its operating frequency and voltage. However, in practice, this technique is only suboptimal and still produce the waste of computational resources. This paper introduces new frequency scaling schemes that statically determine optimal processor speeds at system, component, and task levels with the objective of minimizing the total energy consumption of the entire framework. Since real-world processors support only a finite set of operating frequencies, our algorithms also consider only discrete speed levels and guarantee still that each task meets its deadline. We implemented and evaluated the performance of a prototype framework that incorporates our algorithms on top of the RT-Xen hypervisor in order to provide power-aware compositional real-time scheduling framework to virtual machines.     

基于离散粒子群算法全局QoS最优的Web服务选择

Web服务选择是Web服务组合中重要问题,也是一个NP难问题,使用离散粒子群算法对该问题进行建模求解并针对粒子群算法后期容易陷入局部最优进行改进,借鉴遗传算法中杂交变异的思想对算法迭代后期的一部分粒子进行杂交变异,实验仿真证明,由于杂交变异的引入,能够求得Web服务组合全局QoS更优的解。