电子束3D打印模型处理对钛合金零件成形精度的影响

模型处理是影响3D打印钛合金零件成形精度的关键因素之一。以电子束3D打印几种典型形状TC4钛合金零件为研究对象,通过对成形零件进行精度检测,分析其在模型处理过程中引起误差的来源,提出了几项改进措施:对于圆柱体轴类零件,将模型精度设置提高到0. 02 mm,可有效提高零件的成形精度;对于点阵多孔零件,提高STL数据的精度并优化切层算法,保持切层前后模型原貌是解决该问题的途径;对于针状细圆柱零件,将相同零件按照同一方向摆放,可以减少摆放角度对偏差的随机性影响;对于异形件,应在满足成形精度的前提下合理布局并减少支撑;对于薄壁零件,增加支撑密度能够有效提高零件悬空部分的成形精度。     

基于ECMWF和WRF的嘉陵江流域面雨量预报精度评估

将降雨数值预报产品运用到水文预报中已经逐渐成为提高洪水作业预报的预见期的重要手段。为充分了解ECMWF(European Centre for Medium Range Weather Forecasts)和WRF(Weather Research and Forecasting model)2种数值天气预报产品对嘉陵江研究区面雨量预报的预报精度和误差分布,且为增强洪水预报精度的稳健性提供科学支持,采用TS评分、空报率、漏报率、正确率等指标,对嘉陵江地区7个气象分区内的2016年汛期面雨量预报结果进行了检验,分析了不同分区内各检验指标与预报时效的关系。结果表明:ECMWF数值预报产品和WRF数值预报产品均可用于该地区晴雨预报,且2种产品的预报精度随降水等级的增大呈增大趋势,随预报时效的增加呈减小趋势。综合而言,ECMWF数值预报产品对嘉陵江研究区的预报效果更好。     

Dairy farmers with larger herd sizes adopt more precision dairy technologies

An increase in the average herd size on Australian dairy farms has also increased the labor and animal management pressure on farmers, thus potentially encouraging the adoption of precision technologies for enhanced management control. A survey was undertaken in 2015 in Australia to identify the relationship between herd size, current precision technology adoption, and perception of the future of precision technologies. Additionally, differences between farmers and service providers in relation to perception of future precision technology adoption were also investigated. Responses from 199 dairy farmers, and 102 service providers, were collected between May and August 2015 via an anonymous Internet-based questionnaire. Of the 199 dairy farmer responses, 10.4% corresponded to farms that had fewer than 150 cows, 37.7% had 151 to 300 cows, 35.5% had 301 to 500 cows; 6.0% had 501 to 700 cows, and 10.4% had more than 701 cows. The results showed that farmers with more than 500 cows adopted between 2 and 5 times more specific precision technologies, such as automatic cup removers, automatic milk plant wash systems, electronic cow identification systems and herd management software, when compared with smaller farms. Only minor differences were detected in perception of the future of precision technologies between either herd size or farmers and service providers. In particular, service providers expected a higher adoption of automatic milking and walk over weighing systems than farmers. Currently, the adoption of precision technology has mostly been of the type that reduces labor needs; however, respondents indicated that by 2025 adoption of data capturing technology for monitoring farm system parameters would be increased.     

基于敏感度分析的机床关键几何误差元素辨识与评定

为了正确识别和判定机床关键几何误差元素对机床精度设计的影响,以PCV-620立式加工中心为研究对象,采用多体系统理论建立机床空间误差模型,从而得到机床几何误差元素与机床精度之间的关联函数。对空间误差模型进行灵敏度分析,获得机床各运动方向的局部灵敏度系数,完成机床关键几何误差元素的初步辨识。以局部灵敏度系数为基础,提出一种与局部灵敏度系数和工作空间中任意位置处的几何误差元素值相关的全局灵敏度系数计算方法,将其作为机床关键几何误差元素的辨识和评定标准,分析得到PCV-620立式加工中心的关键几何误差元素包含3项定位误差、3项垂直度误差和5项直线度误差。     

波前传感器电铸镍层应力实时检测精度评估

目的 搭建电铸应力实时检测平台，评估其测量精度，并探明电化学沉积过程中镍层平均内应力的变化规律。方法 采用横向剪切波前传感器搭建电铸应力实时检测平台，通过测量在铸层应力作用下电铸基底弯曲的曲率半径，利用Stoney公式计算铸层平均应力。采用参考球面反射镜评估横向剪切波前传感器曲率半径的测量精度，并在0.5 A/dm2电流密度下进行电铸应力实时检测实验，对铸层平均应力测量极限进行评估，同时对检测误差进行分析。结果 横向波前传感器曲率半径测量精度为99.22%，在0.5 A/dm2电流密度下，所搭建的铸层应力实时检测平台可测量的最小厚度为5.1 μm，由曲率测量波动带来的应力检测误差为1.3 MPa。实验测得铸层平均应力随铸层厚度的增加而变大，当铸层厚度达到30 μm左右，铸层平均应力趋于稳定，应力大小为79.7 MPa。同时发现，当铸层厚度小于30 μm时，沿电铸基底长度方向的铸层平均应力明显大于宽度方向铸层平均应力，随铸层厚度的增加，两个方向的应力大小趋于等值。结论 采用横向剪切波前传感器搭建的电铸应力检测平台，能有效对铸层应力进行高精度的实时测量，为精密电铸过程中应力变化规律的研究提供了检测技术基础。     

异形医用双腔导管挤出离模膨胀变形机理与调控

如何准确预测和精密调控异形医用双腔导管的离模膨胀变形是实现其精密成型的关键技术。通过传统和气辅精密成型的对比分析，研究表明离模膨胀变形是由熔体的第二法向应力差驱动的径向二次流动所诱发，传统挤出成型会产生较大的第二法向应力差，第二法向应力差驱动诱发的径向二次流动是离模膨胀变形的直接驱动力，从而导致传统挤出成型的异形医用双腔导管不仅产生离模膨胀，而且还产生椭圆度误差，其最大离模膨胀比和椭圆度误差分别为1.86和6.3 %。异形医用双腔导管的气辅精密挤出成型基本可以消除熔体的第二法向应力差，必然消除了挤出成型过程的径向二次流动，从而实现了异形医用双腔导管的精密控形。     

宽厚板连铸坯表面裂纹的产生原因及控制

针对近期包钢薄板坯连铸连轧厂宽厚板微合金钢铸坯出现的批量表面裂纹问题,通过考察表面缺陷类型,裂纹形貌特征,结合连铸工艺条件、钢水质量及设备状况,分析了板坯表面裂纹的主要原因,提出了优化振动参数,控制钢水氮含量,提高振动精度,调整保护渣性能以及提高二次冷却水水质等改善铸坯表面缺陷等措施,取得了比较明显的效果,其铸坯表面裂纹得到了有效控制。     

A Smart Wellness Service Platform and Its Practical Implementation

Advances in the field of medical sciences and medical technology, and present-day challenges, such as an aging population, rising medical expenses, and lifestyle-related diseases, have collectively catalyzed a research ecosystem termed “smart wellness.” This article describes the establishment of a smart wellness service platform designed to empower individuals to create a sense of balance in their lives. Step-by-step details include service model, design, and architectural considerations. As a proof of concept, implementation details of a Health Improvement and Management Systems (HIMS) Hub, a Smart Wellness Service Platform deployed in six cities in South Korea, are presented. An on-site survey conducted in Busan Metropolitan City reveals the percentage of satisfied users to be 91.3%. Furthermore, data gathered from 27,236 physical evaluations of users from a Busan city center over the period of April 2013 to May 2018 reveal that males and females in their 50s and 60s account for the highest number of participants, while males in their 70s have a higher rate of participation than females in the same age group.