On tool wear and its effect on machined surface integrity

This paper presents the results of an investigation of induced residual stress, induced strain, and induced subsurface energy in machined surfaces due to the machining process. The influence of tool wear on residual stress, strain, and energy is also reported. The exact elasticity solution for a split ring was extended and used to calculate the residual stress in the machined surface by using ring dimension changes caused by the electrochemical removal of a thin layer of residually stressed surface. The strain distribution beneath the machined surface was determined by using the grid technique. The subsurface energy stored in the machined surface was then obtained from the data of residual stress and strain. For the materials studied, this investigation showed that such energy could not be neglected when establishing the total energy needed for machining a unit volume of material. Tool coatings having different surface roughness and tools having various magnitudes of flank wear were investigated. The experimental results show that tool wear is a dominant factor affecting the values of induced residual stress, strain, subsurface energy, and the quality of the machined surface. The increase of tool wear caused an increase of residual stress and strain beneath the machined surface. It was also found that the overall energy stored in the machined subsurface increases as the tool wear increases and as the tool surface gets rougher. When the cutting tool is severely worn, the machined surface not only becomes very rough, but also contains many partially fractured laps or cracks. This makes tool wear a key factor in controlling the quality of the machined surface.     

Properties and Performance of High-Purity Thermal Barrier Coatings

It has been found that reducing the level of impurity oxides (particularly SiO₂ and Al₂O₃) in 7YSZ, from about 0.2 wt% to below 0.1 wt% raises the sintering resistance and the phase stability of plasma-sprayed coatings. The implications for the usage of these coatings at elevated temperatures are examined. It is concluded that using relatively high-purity powder of this type is likely to confer substantial benefits in terms of the thermomechanical stability of the coatings under service conditions. This article is an invited paper selected from presentations at the 2007 International Thermal Spray Conference and has been expanded from the original presentation. It is simultaneously published in Global Coating Solutions, Proceedings of the 2007 International Thermal Spray Conference, Beijing, China, May 14-16, 2007, Basil R. Marple, Margaret M. Hyland, Yuk-Chiu Lau, Chang-Jiu Li, Rogerio S. Lima, and Ghislain Montavon, Ed., ASM International, Materials Park, OH, 2007.     

刮板造型的改进

介绍了对传统刮板造型存在问题所进行的改进.     

高温模具表面激光熔覆耐磨合金

用2kw CO 激光和送粉工艺,在4Cr5MoV_1Si 钢表面熔覆一层高温耐磨合金(Ni 基高温合金+WC),并应用于轧钢机导向板工作面。用扫描电子显微镜、电子探针和 x 射线衍射技术分别进行熔覆层的组织形态观察,微区成分分析和物相的鉴定。结果表明,熔覆层显微组织主要有许多弥散分布的 W_2C、(W,Ti)C_(1-x)、WC 和共晶态的 M_(12)C 及γ(f、c、c)母体相组成。室温及高温硬度测试结果表明,熔覆层有适中的室温硬度和相对较高的高温硬度。实际生产考核结果表明,激光熔覆导向板使用寿命大大提高,每对可轧钢1000～1100吨,而4Cr_5MoV_1Si 和普碳钢分别为400～500吨和200吨。     

Al—Li—Cu—Mg合金应力腐蚀性能及机理研究

利用恒应变速率方法研究了Al—Li—Cu—Mg合金的应力腐蚀开裂,包括时效条件及外加电位对应力腐蚀的影响,同时研究了试样表面相对氢浓度与外加电位及应力腐蚀时间的关系,实验结果表明,合金的应力腐蚀性能取决于时效条件,其中峰时效条件下最差,自然时效条件下最好,应力腐蚀敏感性及试样表面氢浓度与外加电位有关,阳极电位增加应力腐蚀敏感性,阴极电位低于临界电位时加速应力腐蚀,认为合金在应力腐蚀过程中阳极溶解与氢脆机制联合作用。     

Mg,Ca,Y,La和Ce在Ni3Al中的合金化行为

利用Ｘ射线衍射法确定了合金元素Ｍｇ，Ｃａ，Ｙ，Ｌａ及Ｃｅ在Ｎｉ３Ａｌ中的合金化行为。结果表明，Ｍｇ，Ｃａ，Ｙ，Ｌａ及Ｃｅ原子占据Ｎｉ３Ａｌ中的Ａｌ位，并按以下顺序增加Ｎｉ３Ａｌ的有序度：Ｍｇ，Ｃａ，Ｙ和Ｌａ－Ｃｅ。随着合金元素含量的增加，Ｎｉ３Ａｌ的点阵常数亦按Ｍｇ，Ｃａ，Ｙ，Ｌａ－Ｃｅ的顺序呈线性增大。     

先天性心脏病相关PITX2c基因新突变研究

目的:研究先天性心脏病(congenital heart disease,CHD)相关PITX2c基因的新突变。方法:收集150例CHD患者和200名正常对照者的外周静脉血标本,使用DNA纯化试剂盒分离基因组DNA。使用DNA聚合酶扩增PITX2c基因的编码区和剪接位点,应用DNA测序试剂盒在DNA分析仪上对扩增片段进行测序。将所测序列与GenBank数据库中的PITX2c基因序列进行比对以发现PITX2c基因突变。使用在线程序MUSCLE分析突变氨基酸的保守性,分别应用MutationTaster和PolyPhen-2分析突变氨基酸的致病性。结果:在1例散发性CHD患者发现了1个新的PITX2c基因杂合错义突变,即p.S101G突变,突变率约为0.67%。该错义突变不存在于200名正常对照者。跨物种PITX2c蛋白之氨基酸序列对比显示第101位的丝氨酸在进化上完全保守,致病性预测显示所发现的PITX2c基因变异是致病性突变。结论:本研究揭示了CHD相关PITX2c基因新突变,对于制定新的CHD防治策略具有潜在的意义。     

Projective Feature Learning for 3D Shapes with Multi‐View Depth Images

Feature learning for 3D shapes is challenging due to the lack of natural paramterization for 3D surface models. We adopt the multi‐view depth image representation and propose Multi‐View Deep Extreme Learning Machine (MVD‐ELM) to achieve fast and quality projective feature learning for 3D shapes. In contrast to existing multi‐view learning approaches, our method ensures the feature maps learned for different views are mutually dependent via shared weights and in each layer, their unprojections together form a valid 3D reconstruction of the input 3D shape through using normalized convolution kernels. These lead to a more accurate 3D feature learning as shown by the encouraging results in several applications. Moreover, the 3D reconstruction property enables clear visualization of the learned features, which further demonstrates the meaningfulness of our feature learning.     

移动定位技术的现状与发展趋势

基于位置服务为人们的日常生活带来了极大的方便,同时也推动了移动定位技术行业的快速发展。针对移动定位技术发展状况,分析目前主流定位技术的优劣,并对取得的突破作简单的总结归纳。     

Synchronization for linear singularly perturbed complex networks with coupling delays

This paper is concerned with the synchronization problem about linear singularly perturbed complex network system with coupling delay. The sufficient delay-dependent conditions for the synchronization of the network are established by introducing an equivalent network system with the Lyapunov stability theory. These conditions, which are formulated in terms of linear matrix inequalities, can be solved efficiently by the LMI toolbox of MATLAB. A simulation example is provided to show the validity of the proposed the synchronization conditions of the whole network.