面向航空复杂结构件数控加工过程的云制造服务生成方法

为促进航空复杂结构件数控加工向云制造模式转变,提出一种面向零件加工过程的云制造服务生成方法。首先引入动态加工特征,基于动态加工特征构建制造任务描述标准,用以进行制造服务封装和用户请求表示,实现服务供应商核心工艺知识的保护和重用,大大提高了服务匹配的效率和精度。进而提出一种基于动态加工特征的制造服务组合生成方法,建立基于服务质量的综合优化模型,将时间、成本、可靠性作为目标准则,运用遗传算法求解优化的云制造服务组合。通过实例验证了基于以上方法开发的云制造原型系统的有效性。     

复杂零件云制造知识服务研究

针对复杂零件产品研发迫切需要对产品研制过程中的知识进行有效管理以实现共享和重用。以叶轮云制造为例建立了复杂零件云制造知识服务流程,在此基础上对复杂零件云制造流程中工艺设计静态知识服务、切削参数优化动态知识服务、刀轨计算静态知识服务、刀轨计算动态知识服务的实现策略进行了研究。以多孔型腔零件云制造为例,实现了部分功能,初步验证表明所提出的知识服务策略可有效提升产品研发效率。     

云制造软资源封装研究

在研究现有制造资源的属性描述方法和封装模型的基础上,根据云制造汇聚资源服务进行集中管理以及为多个用户同时提供服务的特点,建立了一种新的基于Web服务的云制造软资源封装架构,并设计出通用软资源描述模型,结合该模型给出软资源封装的一般流程。通过数字化制造支持系统与PDM集成的实现,验证了云制造软资源的属性描述、封装模型建立和封装流程的可行性及合理性。     

云制造软资源封装研究

在研究现有制造资源的属性描述方法和封装模型的基础上,根据云制造汇聚资源服务进行集中管理以及为多个用户同时提供服务的特点,建立了一种新的基于Web服务的云制造软资源封装架构,并设计出通用软资源描述模型,结合该模型给出软资源封装的一般流程。通过数字化制造支持系统与PDM集成的实现,验证了云制造软资源的属性描述、封装模型建立和封装流程的可行性及合理性。     

云制造环境下基于用户行为感知的个性化知识服务技术

为提高云制造平台中的个性化知识服务能力、增强用户黏度,提出一种云制造环境下基于用户行为的个性化知识服务方法。针对云制造服务特点,构建云制造环境下的个性化知识服务架构;分析了云制造平台中的用户行为,综合显性行为和隐性行为计算用户的个性化知识需求度,建立基于本体的用户行为模型;在此基础上,通过语义分析及知识评价实现了个性化知识过滤,通过应用示例分析验证了该方法的可行性。     

复杂零件云制造知识服务模式研究

针对企业复杂零件云制造需要对制造信息资源有效管理以实现共享和重用的需求,以复杂零件云制造环境下数字化加工过程为研究对象,在分析企业知识服务需求及知识资源特点的基础上,对动态知识服务模式及静态知识服务模式进行了研究。     

制造资源云集成元建模及云Agent服务调度研究

针对云制造过程中的制造资源虚拟化问题,分析了制造资源的存在形态、构成及其属性,提出基于RFID技术与对象名解析服务的制造资源感知与追溯逻辑架构,以实现物理制造资源虚拟化;通过建立虚拟制造资源静态-动态集成元模型,为异构、动态的虚拟制造资源的重组和融合提供统一描述机制;在此基础上,将移动Agent和云服务发现机制相融合,提出云Agent（cloud  Agent）的概念,并基于资源中介的改进合同网机制,实现云制造服务自适应管理和调度;给出了面向复杂产品协同的制造资源云服务平台原型系统,并结合汽轮机制造服务协同应用案例,初步实现了制造资源虚拟化和服务部署。     

云制造加工设备服务化封装与云端化接入方法

针对云制造模式下对制造资源的服务化封装和云端化接入的新需求,结合物联技术,提出一种云制造设备的服务化封装与云端化接入方法,设计了设备端传感器群优化配置、制造能力描述模型、实时制造服务状态信息主动感知、云制造设备的协作生产与自主决策、设备端制造服务封装、制造服务云端化接入等关键技术的实现框架,使加工设备的制造能力可被主动感知,制造服务过程信息透明和实时可访问,并能通过一种松散耦合和即插即用的方式接入云制造平台,为云制造中海量制造资源的云端化接入、主动发现、优化配置,以及生产任务的高效、高质生产提供了一种新思路。     

基于SOOA的制造资源服务化封装与部署机制

针对云制造环境下制造资源服务化的需求,提出一种基于SOOA(Service Object-OrientedArchitectures)的制造服务运行机制,描述了服务注册、发现和调用的过程.分析了智力资源、知识资源和工具资源这几种不同类型制造资源的服务化方式,同时探讨了强控制封装、弱控制封装、虚拟化封装和计算能力封装这四种不同的封装模式,分析了各封装模式的应用方式和适用场合,给出了一个制造服务部署及管理的软件平台的架构,分析了平台各组件的构成、功能及依赖关系,最后介绍了原型系统的开发.     

再论云制造

在综合已有文献和近期研究实践的基础上,进一步论述了云制造.提出云制造是一种面向服务的、高效低耗和基于知识的网络化、敏捷化制造新模式和技术手段,它丰富和拓展了云计算的资源共享内容和服务模式,促进了制造的敏捷化、服务化、绿色化、智能化;融合云计算,物联网、高性能计算、面向服务、智能科学等新兴技术与信息化制造技术,构成r完整的云制造服务系统及云制造技术体系.通过应用案例讨论了面向集团企业和面向中小企业云制造服务平台的技术和应用模式,并对我国实施云制造的思路和发展提出了建议.     

Minimal Realization of Linear Graph Models for Multi-physics Systems

An engineering system may consist of several different types of components,belonging to such physical"domains"as mechanical,electrical,fluid,and thermal.It is t...     

INTEGRAL EQUATION METHOD＇S APPLICATION IN HOLE-EDGE STRESS OF COMPOSITE MATERIAL PLATE WITH DIFFERENT SHAPED HOLES

The strength of composite plate with different hole-shapes is always one of the most important but complicated issues in the application of the composite material. The holes will lead to mutations and discontinuity to the structure. So the hole-edge stress concentration is always a serious phenomenon. And the phenomenon makes the structure strength decrease very quickly to form dangerous weak points. Most partial damage begins from these weak points. According to the complex variable functions theory, the accurate boundary condition of composite plate with different hole-shapes is founded by conformal mapping method to settle the boundary condition problem of complex hole-shapes. Composite plate with commonly hole-shapes in engineering is studied by several complex variable stress fimction. The boundary integral equations are founded based on exact boundary conditions. Then the exact hole-edge stress analytic solution of composite plate with rectangle holes and wing manholes is resolved. Both of offset axis loadings and its influences on the stress concentration coefficient of the hole-edge are discussed. And comparisons of different loads along various offset axis on the hole-edge stress distribution of orthotropic plate with rectangle hole or wing manhole are made. It can be concluded that hole-edge with continuous variable curvatures might help to decrease the stress concentration coefficient; and smaller angle of outer load and fiber can decrease the stress peak value.     

Non-monotonic material contrast in scanning ion and scanning electron images

30 keV Ga⁺ focused ion beam induced secondary electron (iSE) imaging was used to determine the relative contrast between several materials. The iSE signal compared from C, Si, Al, Ti, Cr, Ni, Cu, Mo, Ag, and W metal layers does not decrease with an increase in target atomic number Z₂, and shows a non-monotonic relationship between contrast and Z₂. The non-monotonic relationship is attributed to periodic fluctuations of the stopping power and sputter yield inherent to the ion–solid interactions. In addition, material contrast from electron-induced secondary electron (eSE) and backscattered electron (BSE) images using scanning electron microscopy (SEM) also shows non-monotonic contrast as a function of Z₂, following the periodic behavior of the stopping power for electron–solid interactions. A comparison of the iSE and eSE results shows similar relative contrast between the metal layers, and not complementary contrast as conventionally understood. These similarities in the contrast behavior can be attributed to similarities in the periodic and non-monotonic function defined by incident particle–solid interaction theory.     

Application of Feature Extraction through Convolution Neural Networks and SVM Classifier for Robust Grading of Apples

This paper proposes a novel grading method of apples,in an automated grading device that uses convolutional neural networks to extract the size,color,texture,an...     

分布动态载荷识别的抗噪处理

针对正交多项式频域法在用多种响应对矩形薄板进行载荷识别中抗噪性较差的问题,综合运用平均法、矩阵预处理和奇异值截断法等方法对之进行改善,并引入空间映射的思想,将该方法的应用范围拓展为复杂的模型.利用仿真算例,证实了该方法具有较好的抗噪性.     

基于MELTAC-N平台的核电厂安全级DCS环网研究与测试

针对工程实践中环网通讯相关问题的处理缺乏理论基础及国产化安全级DCS平台的开发缺乏成熟经验借鉴问题,对基于MELTAC-N平台核电厂安全级DCS环网的软硬件实现进行了研究。提出了安全级DCS环网双环网冗余设计、光切换开关设计等硬件设计方法,以及以RPR协议为基础,采用全数据收发策略的软件设计方法。在CPR1000安全级DCS平台上对安全级DCS环网的可靠性及实时性进行了评价,并进行了容错能力、响应时间及响应时间稳定性测试验证实验。结果表明,基于MELTAC-N平台安全级DCS环网软硬件设计具有较好的容错能力及响应时间稳定性。     

Short-Term Relay Quality Prediction Algorithm Based on Long and Short-Term Memory

The fraction defective of semi-finished products is predicted to optimize the process of relay production lines, by which production quality and productivity ar...     

End-to-End Multiview Gesture Recognition for Autonomous Car Parking System

The use of hand gestures can be the most intuitive human-machine interaction medium.The early approaches for hand gesture recognition used device-based methods....     

The laboratory simulation of abrasive wear

Abrasive wear has long been recognised as one of the most potentially serious tribological problems facing the operators of many types of plant and machinery; several industrial surveys have indicated that wear by abrasion can be responsible for more than 50% of unscheduled machine and plant stoppages. Locating the operating point of a tribological contact in an appropriate operational ‚map’︁ can provide a useful guide to the likely nature and origins of the surface degradation experienced in use, though care must be exercised in choosing the most suitable parameters for the axes of the plot. Laboratory testing of materials and simulations of machine contacts are carried out for a number of purposes; at one level for the very practical aims of ranking candidate materials or surface hardening treatments in order of their wear resistance, or in an attempt to predict wear lives under field conditions. More fundamentally, tests may be aimed at elucidating the essential physical mechanisms of surface damage and loss, with the longer term aim of building an analytical and predictive model of the wear process itself. In many cases, component surface damage is brought about by the ingress of hard, particulate matter into machine bearing or sealing clearances. These may be running dry although, more usually, a lubricant or service fluid is present at the interface. A number of standardised wear test geometries and procedures have been established for both two- and three-body wear situations, and these are briefly described. Although abrasive wear is often modelled as following an ‚Archard’︁ equation (i.e. a linear increase in material loss with both load and time, and an inverse dependence on specimen hardness) both industrial experience and laboratory tests of particularly lubricated contacts show that this is not always the case: increasing the hardness differential in an abrasively contaminated lubricated pair may not always reduce the rate of damage to the harder surface.     

Limits of topographic measurement by the scanning tunnelling and atomic force microscopes

Parameters describing the topographic character of a surface (height, surface wavelength, slope and curvature) can be derived from equivalent sinusoidal profiles. The response of a surface-measuring instrument may be modelled in terms of instrument parameters such as stylus radius, and scanning range and resolution. The performance of the instrument may then be mapped as a zone in amplitude-wavelength (AW) space to show the sinusoidal profiles it is capable of measuring. In a first-order analysis the STM and AFM are considered as equivalent to contact-stylus instruments with a notional stylus radius equal to the tip radius plus the gap. Comparisons between different instruments and types of instrument are readily made by mapping in AW space. The error arising from convolution of the sinusoidal profile with that of the finite tip may be quantified and plotted as contours in AW space.