Numeric and curve parameters for freeform surface feature models

The success of feature modelling systems depends to a large extent on offering user-friendly ways for specifying and varying feature models. In this paper, several new facilities are introduced for this.Numeric and curve parameters are presented for specification and variation of freeform surface feature models. Several properties of the parameters can be defined, such as the direction of evaluation for a curve parameter. In addition to parameters present in features, other parameters can be added to a feature model, including intersection curves between features.To provide these facilities, a new three-level structure is introduced, which includes a partially evaluated model that can capture new generic model entities, including feature intersection curves. The work has been implemented in a prototype surface feature modelling system with functionality for feature class definition, feature model creation, and advanced feature model variation through the new types of parameters.     

三维电场传感器仿真优化及性能测试

采用有限元方法对一种新型三维电场传感器的敏感结构进行仿真分析,优化结构设计参数,提高传感器的测量灵敏度;对采用优化参数制备的电场传感器进行了性能测试,结果表明,该传感器的输出与模拟仿真结果具有良好的一致性,并且与外部电场呈良好的线性关系,传感器的测量灵敏度可达到50V/m。     

An auxiliary theorem for stability analysis in the presence of interval-valued parameters

A theorem which helps to determine the boundary of the image of an interval inR ⁿ under a differentiable mapping,F:R ⁿ C, is expounded. Examples illustrating the application of the theorem are given.     

Design of Online Vitals Monitor by Integrating Big Data and IoT

In this work, we design a multisensory IoT-based online vitals monitor (hereinafter referred to as the VITALS) to sense four bedside physiological parameters including pulse (heart) rate, body temperature, blood pressure, and peripheral oxygen saturation. Then, the proposed system constantly transfers these signals to the analytics system which aids in enhancing diagnostics at an earlier stage as well as monitoring after recovery. The core hardware of the VITALS includes commercial off-the-shelf sensing devices/medical equipment, a powerful microcontroller, a reliable wireless communication module, and a big data analytics system. It extracts human vital signs in a pre-programmed interval of 30 min and sends them to big data analytics system through the WiFi module for further analysis. We use Apache Kafka (to gather live data streams from connected sensors), Apache Spark (to categorize the patient vitals and notify the medical professionals while identifying abnormalities in physiological parameters), Hadoop Distributed File System (HDFS) (to archive data streams for further analysis and long-term storage), Spark SQL, Hive and Matplotlib (to support caregivers to access/visualize appropriate information from collected data streams and to explore/understand the health status of the individuals). In addition, we develop a mobile application to send statistical graphs to doctors and patients to enable them to monitor health conditions remotely. Our proposed system is implemented on three patients for 7 days to check the effectiveness of sensing, data processing, and data transmission mechanisms. To validate the system accuracy, we compare the data values collected from established sensors with the measured readouts using a commercial healthcare monitor, the Welch Allyn® Spot Check. Our proposed system provides improved care solutions, especially for those whose access to care services is limited.     

Adaptive fault-tolerant control of switched nonlinear systems based on tuning function method

This paper solves the problem of adaptive fault-tolerant control of uncertain switched nonlinear systems with unknown parameters and actuator failures. Based on the multi-Lyapunov function method, a novel adaptive switched controller with tuning function is designed using the backstepping procedure. Meanwhile, a switched fault-tolerant adaptation mechanism is also given to compensate the fault efficiency. Furthermore, it is certificated that all the signals of the closed-loop system are uniformly bounded and the tracking error restrain to a small neighbor. Finally, the simulation results verify the feasibility of the proposed method.     

Optimal parameters identification and sensitivity study for abrasive waterjet milling model

In this paper we present the work related to the parameters identification for abrasive waterjet milling (AWJM) model that appears as an ill-posed inverse problem. The necessity of studying this problem comes from the industrial milling applications where the possibility to predict and model the final surface with high accuracy is one of the primary tasks in the absence of any knowledge of the model parameters that should be used. The adjoint approach based on corresponding Lagrangian gives the opportunity to find out the unknowns of the AWJM model and their optimal values that could be used to reproduce the required trench profile. Due to the complexity of the nonlinear problem and the large number of the model parameters, we use an automatic differentiation software tool. This approach also gives us the ability to distribute the research on more complex cases and consider different types of model errors and 3D time dependent model with variations of the jet feed speed. This approach gives us a good opportunity to identify the optimal model parameters and predict the surface profile both with self-generated data and measurements obtained from the real production. Considering different types of model errors allows us to receive the results acceptable in manufacturing and to expect the proper identification of unknowns.     

接触触发式探头结构优化设计

设计了一种适用于微纳米三坐标测量机的高灵敏度接触触发式探头。介绍了该探头的结构和原理,建立了探头的灵敏度模型和刚度模型,依据三维方向等灵敏度和等刚度的原则,利用最优化方法得出了探头结构参数的最优解。对探头的刚度进行了仿真验证;分别对探头的刚度、分辨率以及稳定性进行了实验测试。实验结果表明:该探头在三维方向上的刚度均小于1 mN/μm,且近似相等;分辨率高于50 nm;当环境温度的波动范围小于±0.025℃时,探头在1.3 h内的漂移量为20nm。     

基于连续压导探针的炸药爆速和临界直径测试方法?

临界直径是确定炸药合理装药直径、预防炸药拒爆和不完全爆轰的重要指标,对炸药性能提高和高效利用有着十分重要的意义。设计了一种连续压导探针和楔形装药装置,在对炸药爆速进行测试的同时,利用炸药在临界直径不完全爆轰的特征,通过寻找爆轰波传播的拐点确定炸药临界直径。试验结果表明:装药密度为0.9g/cm3的铵油炸药爆速为3 261 m/s,临界直径为12.5 mm。提供了一种可同时测得炸药爆速和临界直径的方法,该方法简单,试验费用低,对炸药参数测试具有一定的指导意义。     

孔网参数测量技术在矿山爆破中的应用

工程中发现爆破效果不稳定,具有偶然误差的特点,从爆破设计和施工中查找原因。以泰玛士矿爆破实践为例,采用激光扫描仪和钻孔测斜仪,测出代表台阶面和钻孔轨迹的空间点坐标,研究钻孔与自由面、钻孔与钻孔之间的空间关系,通过三维图形软件计算真实的爆破参数,优化设计,指导施工,可以取得稳定的爆破效果。结果表明:爆破设计和施工中的钻孔偏移普遍存在,它是导致爆破设计参数失真、爆破效果不稳定的主要因素;控制偏移误差的发生及其负面影响,孔网参数测量是技术支撑,工作程序是技术应用的规范;根据孔网参数测量数据分析发生钻孔偏移的具体原因,针对性解决问题并预防错误重复发生。     

海洋硫酸盐还原菌对X100钢腐蚀行为的影响

通过测定海水溶液中硫酸盐还原菌(SRB)生长曲线、溶液状态参数、自腐蚀电位、电化学阻抗谱和极化曲线的变化规律,研究了SRB的存在对X100钢在该体系中的腐蚀行为的影响。结果表明:SRB在海水培养基中的一个生长周期可分为快速生长阶段、稳定阶段和衰亡阶段。溶液S2-浓度和氧化还原电位与SRB数目密切相关,X100钢的自腐蚀电位随时间增加呈现先负移、然后正移、最后负移的变化规律;EIS结果表明,在接菌海水中,X100钢的腐蚀速率随着浸泡时间的增加呈现先增大、后减小、再增大的变化趋势;与灭菌海水中的腐蚀相比,X100钢在接菌海水中的腐蚀电流密度降低,腐蚀减弱,其原因是SRB生物膜的存在阻碍了海水与试样表面的直接接触,从而抑制了金属的腐蚀。