Partition model into 3D-printable and no supporting parts

The printing object must fit into the printing working volume and overhangs require a disposable support structure to be added, which are two main problems in the 3D printing process. Existing algorithms cannot solve these two problems at the same time. To solve these problems, we present a model partition algorithm, dividing the model into the pyramidal fitting printing working volume, with the pyramidal having the shape which can be printed without a supporting structure. Firstly, we partition the model surface using the region growing method and analyze the region's normal vector to determine the candidate dividing directions. Secondly, we use the candidate dividing directions to generate candidate dividing planes in order to segment the model. If the divided sub-model is not a pyramidal,continue segmenting the sub-model by using the same method until all of the sub-models are pyramidal. The candidate dividing planes may generate multi-group division modes. Each division mode constructs a tree, the evaluation function is employed to appraise the dividing values and the beam search method is utilized to search the largest value tree in the solution space which is the optimal partition. Experimental results show that the proposed algorithm can divide the model into sub-models which needn't support structures and fit into the printing working volume.     

超声振动辅助微小孔高速钻削技术研究

结合高速钻削和超声振动钻削优点,自行研制出超声振动辅助高速钻削机床。利用该机床,通过实验对比超声振动辅助高速钻削和普通钻削条件下加工工件的孔扩量、表面粗糙度和出孔、入孔毛刺等参数,研究评价超声振动辅助高速钻削性能。实验结果表明,相对于普通钻削,超声振动辅助高速钻削可实现φ0.1mm、深径比大于10的微细深孔加工,实验结果证明了理论与实验分析的正确性。     

Experimental Study of Machinability in Millgrinding of SiCp/Al Composites

An attempt was made to investigate the machinability of Si Cp/Al composites based on the experimental study using mill-grinding processing method. The experiments were carried out on a high-speed CNC machining center using integrated abrasive cutting tool. The effects of combined machining parameters, e g, cutting speed(vs), feed rate(vf), and depth of cut(ap), with the same change of material removal rate(MRR) on the mill-grinding force and surface roughness(Ra) were investigated. The formation mechanism of typical machined surface defects was analyzed by SEM. The experimental results reveal that with the same change of material removal rate, lower mill-grinding force values can be gained by increasing depth of cut and feed rate simultaneously at higher cutting speed. With the same change of MRR value, lower surface roughness values can be gained by increasing the feed rate at higher cutting speed, rather than just increasing the depth of cut, or increasing the feed rate and depth of cut simultaneously. The machined surface of Si Cp/Al composites reveals typical defects which can influence surface integrity.     

基于两维图论聚类的农产品配送区域规划

利用两维图论聚类,划分农产品配送区域.选取划分指标,对农产品需求点进行聚类;依据农产品配送时间约束设定距离阈值;通过调整聚类结果得到农产品配送区域规划结果.     

西北风沙地区输电导线侵蚀及起晕电压实验模拟研究

针对西北地区风沙侵蚀输电导线现象,研究了导线粗糙度与起晕电压关系,在闭式风道内模拟了输电导线在第一年服役内受强沙尘暴侵蚀过程,并做了侵蚀铝棒的对照实验。用光切显微镜测量了表面粗糙度,电晕笼测量系统测量了起晕电压,再对实验数据插值与拟合处理,分析认为,导线粗糙度随风沙侵蚀呈增大趋势,而起晕电压在试验前期升高,试验中期起伏变化,后期与粗糙度呈负相关关系,即导线起晕电压随着粗糙度增大而降低。     

面向新产品开发市场定位的一种聚类算法*

如何从海量的样本数据中挖掘出具有共性的顾客需求信息,帮助商家识别出潜在的客户群,并提高对市场活动的响应效率,是当前国内外市场研究的一个重点和难点。以新产品开发策划中的新产品市场定位为研究对象,提出了一种基于网格的聚类算法(meshbased clustering algorithm, MCA)。此算法可以在市场调查数据中深度挖掘顾客潜在需求,根据顾客评价对产品进行竞争性分析,采用积极的营销策略,不断挖掘新客户群体,从而为企业制定新产品开发战略和产品市场定位提供科学决策依据。     

长泄洪洞模型糙率修正方法研究

针对长泄洪洞在小比尺物理模型壁面糙率不相似问题进行理论分析和试验研究。通过合理的技术方案和手段在不改变泄洪洞位置与原河道相互关系的前提下,可以在小比尺物理模型上实现泄洪洞出口流速和流量的相似。研究表明,本方法适用于有压接无压和明流泄洪洞,很好的解决了在小比尺模型上长泄洪洞出口挑流水力特性及下游冲刷特性的模型相似性难题,实测结果与理论分析结果符合良好。     

卵砾石床面时均流速分布的试验研究

单一明渠水流由于边壁和自由水面的影响,主流区内时均流速沿垂线方向的分布存在多种形式。本试验借用声速多普勒流速仪(Sontec-ADV),测试了不同卵砾石床沙组合条件下的床面时均流速结构。试验表明:垂线流速分布主要受床面糙度R/Ks和水流流态的双重影响,佛汝德数和相对糙度在一定程度上决定了其归属于单一对数分布还是S形曲线分布,而S型曲线的转捩位置Z/H值与相对糙度R/Ks具有较好的相关性。     

基于分块的大规模地形实时渲染方法

将地形数据分块技术、层次细节模型（LOD） 技术、改进的ROAM 算法和数据预取技术等相结合,提出了一种超大规模地形数据实时渲染方法.通过分块策略对规则网格进行区域分割,采用空间填充曲线对分块网格进行多分辨率排列,并建立三角形节点顺序与剖分点之间对应关系的快速检索,实现数据快速调度;视见体投影简化分块裁剪算法降低可见性判断的复杂度,提高了计算效率;改进的四队列ROAM实时构网算法,很好地利用了相邻帧的相关性,有效地提高了渲染速度;基于视点预测、部分数据常驻内存的多线程数据预取实现了场景规模基本不相关的连续LOD实时渲染.实验结果表明,该算法高效可行,适合于海量地形场景的快速渲染和交互漫游应用.     

含热电联产机组的分布式能源集群动态划分方法

集群划分是实现分布式能源网络优化调控的基础环节。文中提出含热电联产机组的分布式能源网络集群划分方法。首先,提出综合考虑结构性与功能性的集群划分指标体系:结构上采用计及电热网络特性的模块度指标,用以刻画不同网络节点间的联系强度;功能上引入供需匹配度指标和热电耦合度指标,反映单一能源网络集群内部供应和实际需求间、源侧耦合出力和实际用能间的平衡程度。其次,依托集群划分指标体系设计电网和热网2个层面的优化目标作为集群划分的依据,采用Louvain社区检测算法生成以热电联产为中心的电热双重集群。最后,通过实际算例验证了所提方法的有效性。