Cu-16%Sn-8%P合金的球状Cu3P与热处理特性

利用金相和电子探针研究了Cu-16%Sn-8%P合金的微观结构,热处理条件对合金结构和硬度的影响.结果表明:在Cu-16%Sn-8%P合金中,P主要以Cu3P化合物形式存在,在Sn的影响下该化合物形成非常圆整的球状;Sn以Cu10Sn和Cu5Sn两种化合物存在.在560℃下保温,时间越长淬火组织中形成的条状Cu3P化合物越多,球状Cu3P化合物直径越小;硬度先降低,然后大幅度升高.对淬火组织进行退火处理,可进一步促进Cu3P化合物以块状、条状形态析出.     

PLC模糊神经网络变频调速系统

结合电机速度闭环控制 ,介绍了一种新型模糊神经元混合控制器 ,重点阐述了用PLC实现闭环变频调速控制的关键技术 ,包括速度反馈值的采样及控制算法的具体实现。     

回火对国产P91钢组织和性能的影响

采用单因素比较试验法进行P91钢回火工艺参数的优化，研究回火温度和回火时间对力学性能和组织结构的影响，结果表明：P91钢正火后，再经760℃、180min的回火处理，获得了良好的力学性能和细小均匀的回火板条马氏体组织；回火温度过高会出现组织性能的异常变化。     

Effect of surface coating on the screw loosening of dental abutment screws

Regardless of the type of performed restoration, in most cases, a screw connection is employed between the abutment and implant. For this reason, implant screw loosening has remained a problem in restorative practices. The purpose of this study was to compare the surface of coated/plated screws with titanium and gold alloy screws and to evaluate the physical properties of coated/plated material after scratch tests via FE-SEM (field emission scanning electron microscopy) investigation. GoldTite, titanium screws provided by 3i (Implant Innovation, USA) and TorqTite, titanium screws by Steri-Oss (Nobel Biocare, USA) and gold screws and titanium screws by AVANA (Osstem Implant, Korea) were selected for this study. The surface, crest, and root of the abutment screws were observed by FE-SEM. A micro-diamond needle was also prepared for the scratch test. Each abutment screw was fixed, and a scratch on the surface of the head region was made at constant load and thereafter the fine trace was observed with FE-SEM. The surface of GoldTite was smoother than that of other screws and it also had abundant ductility and malleability compared with titanium and gold screws. The scratch tests also revealed that teflon particles were exfoliated easily in the screw coated with teflon. The titanium screw had rough surface and low ductility. The clinical use of gold-plated screws is recommended as a means of preventing screw loosening.     

高精度电阻加热炉控制系统设计

传统电阻加热炉采用住式控制，控温精度较差。本文对一种高精度电阻加热熔铝炉的控制系统作了介绍，系统采用可编程控制器（PLC）取代温控表，采用具有智能积分环节的模糊控制算法控制温度。实践表明，当设定温度740℃时，系统从铝熔化后（约660℃）到进入稳定约需240s，稳定后实测温度误差约±2℃，该系统操作安全方便，温度显示直观准确，性能稳定可靠。     

纳米晶镁铝水滑石／聚乙烯复合阻燃料的制备

采用共混法制备聚乙烯／镁铝水滑石纳米复合材料。XRD、SEM、TEM和性能测试表明：镁铝水滑石纳米晶体分散在聚乙烯基体中，且有少部分发生插层；阴离子表面活性剂对水滑石的处理效果要优于偶联剂；pH值对处理效果有一定影响；镁铝水滑石阻燃剂填充聚乙烯体系阻燃效果，要优于填充A1（OH）3阻燃剂。     

FV520(B)钢时效组织和力学性能分析

通过透射电镜、电子拉伸、示波冲击试验，分析了马氏体沉淀硬化不锈钢FV520（B）850℃油淬后分别在560、600和630℃时效后的组织和力学性能。结果表明，淬火态FV520（B）钢560℃和600℃时效处理后，组织均为过时效马氏体＋残余奥氏体，但细微组织有较大的差别，630℃时效处理后，组织为过时效马氏体＋马氏体＋残余奥氏体；560℃时效后强度最高；三种时效温度下，FV520（B）均具有较高的冲击韧度，600℃时效后冲击韧度最高；时效温度对FV520（B）冲击韧度的影响主要决定于其对塑性变形功（Ad）的影响。     

用工业CT测量物质密度的ASTM标准方法

介绍了美国ASTM标准中推荐的一种利用工业CT测量物体质量密度的原理与方法以及一个应用案例，显示了该方法较高的测量精度。该法可在工业CT的实际应用与系统性能测定中参考使用。     

PLC在接触器试验中的应用

本文介绍了对交流接触器按照UL认证标准,采用PLC进行过载耐久试验,提高了试验的可靠性和试验的自动化程度。     

Automatic classification of defects on the product surface in grinding and polishing

Grinding and polishing are standard operations in material processing. It is important to inspect and classify the potential defects existing on the product surfaces after grinding and polishing in order to obtain high quality in both functionality and aesthetics. Post-processing handling can be carried out after the defects have been correctly classified. A vision system already exists to detect and classify defects based on captured grayscale images automatically. The system is able to find and locate the defects precisely, but is incapable of placing those defects into the right predefined classes. The old system classifies the defects 30% of the time into the 15 predefined classes based on shape features. In this paper, a new classification strategy has been introduced using diverse extracted features. In addition to shape features, some other feature extraction methods were tried, e.g. Laws filter bank, DCT (Discrete Cosine Transformation) filter bank, Gabor filter bank, and statistical features based on co-occurrence matrix. The Support Vector Machine (SVM) was used as a multi-class classifier with input of the extracted features. By combining the Gabor filter features and the statistical features, the classification rate of the system can reach 82% overall right rate, which is applicable practically.