共查询到19条相似文献,搜索用时 62 毫秒
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仿生磷灰石涂层与钛基体结合强度的划痕法实验 总被引:2,自引:0,他引:2
本文采用碱热处理及SBF浸泡的方法在钛片上制备了仿生磷灰石涂层,并采用AES进行表面成分-深度分析,划痕法测定磷灰石涂层与基体的结合强度.结果显示,经碱热处理而制得的钛表面仿生磷灰石涂层与基体结合的界面为成分梯度界面,二者的结合要通过成分含量呈梯度变化的过渡层:Ca、P元素的含量从表面到基体逐渐下降,Ti元素的含量逐渐上升.热处理有利于提高涂层的基体结合强度,其原因是热处理使SBF中形成的磷灰石的晶核细小而均匀,使得表面涂层与基体之间的结合更为紧密.预钙化处理后形成的磷灰石涂层与金属之间仍为成分梯度界面,因此对涂层的基体结合强度影响不大. 相似文献
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本文有摩擦力监测的划痕法研究了试样参数(基体硬度、膜厚、基体表面粗糙度等)对硬质摩膜(或软膜)的临界载荷Lc的影响.样品基材是W6Mo5Cr4V2、5CrMnMo、45钢、A3钢和不锈钢.膜层为磁控溅射离子镀TiN膜和Ti膜、化学镀NiPCU膜,以及在Si3N4上溅射镀Al膜.结果发现离子度TiN膜和Ti膜与NiPCu膜规律不同,TiN膜和Ti膜的临界载荷Lc随基体硬度的提高而提高,但当基体硬度接近和超过膜层硬度时,Lc变化不大;基体粗糙度增加时Lc下降;随膜厚的增加Lc提高.而化学镀NiPCu膜的临界载荷Lc随基体硬度的提高而下降,随基体表面粗糙度的提高而增加.以W6Mo5Cr4V2为基体的NiPCu膜,随膜厚的增加Lc变化不大.本文对上述规律的实质进行了初步探讨,并对目前生产中正在推广的工具钢磁控溅射离子镀TiN膜的划痕法标准提出建议. 相似文献
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目前基于划痕试验法的金属防护层与基体结合力的研究大多是针对微弧氧化膜外的其他硬质膜层,且鲜有验证性试验.采用微弧氧化技术在7A04超硬铝合金表面成功制备出陶瓷膜层并观察了其微观形貌,利用WS-2005膜层附着力自动划痕仪在膜层上进行了划痕试验,采集了声发射信号,利用数显材料显微镜观察声发射图谱特征声信号峰对应划痕处的微观形貌,检测了划痕附近膜层显微硬度,判定了干扰信号,对膜基结合力进行了综合分析和评定.结果表明:7A04铝合金微弧氧化陶瓷膜层表面呈“火山喷射口”层叠状,划痕试验中膜层破坏仅发生在划痕内部,划痕周围没有发生大面积崩落,膜层与基体间结合力良好. 相似文献
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使用Rockwell C金刚石圆锥压头对紫铜进行微米划痕实验,研究了法向载荷对样品的微米划痕测试的影响。结果表明:随着法向载荷的增大,压入深度和残余深度均线性增加,弹性恢复率线性减小;划痕宽度随压入深度的增加先非线性地增大,之后趋于线性增加。当法向载荷在0.08~0.11 N的范围内时,摩擦力线性增大,摩擦系数趋于一个常数,摩擦机制为粘着摩擦;当法向载荷在0.11~17 N的范围内时,摩擦力和摩擦系数非线性地增大,摩擦机制为犁沟摩擦;当法向载荷在17~28 N的范围内时,摩擦系数趋于一个常数,摩擦力线性增大,摩擦机制为微切削。 相似文献
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阐述了声发射检测的基本原理,介绍了国内外压力容器声发射检测技术的发展历程和现状,给出了压力容器声发射检测方法的优点和压力容器用钢的声发射特性,最后指出了目前声发射检测需解决的问题和发展趋势。 相似文献
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Acoustic Emissions (AE) is gaining ground as a Nonestructive Technique (NDT) for health diagnosis on rotating machinery. Vast opportunities exist for development of the AE technique on various forms of rotating machinery, including gearboxes. This paper reviews recent developments in application of AE to gear defect diagnosis. Furthermore, experimental results are presented that examine and explore the effectiveness of AE for gear defect diagnosis. It is concluded that application of AE to artificially seeded gear defect detection is fraught with difficulties, particularly for fault identification. In addition, the viability of the AE technique for gear defect detection by making observations from nonrotating components of a machine is called into question. Nevertheless, guidance is offered on applying the technique for monitoring the natural wear of gears. 相似文献
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The Armored Vehicle Launch Bridge (AVLB) is subjected to cyclic loading during launching as well as during tank crossings. The cyclic loading causes cracks to initiate in critical bridge components, and then to propagate. Unless these cracks are detected and repaired before they rapidly grow to reach their critical stage of propagation, the failure of bridge components can occur. Three AVLB components, the splice doubler angle, the splice plate, and the bottom chord, are susceptible to fatigue damage. In the present study, laboratory fatigue tests on the materials used for the components, aluminum 2014-T6, aluminum 7050-T765, and ASTM A36 steel, were conducted using the acoustic emission (AE) fatigue crack monitoring technique. A total of fourteen compact-tension specimens were prepared in this study: six aluminum 2014-T6, four aluminum 7050-T76511, and four ASTM A36 steel specimens. The characteristics of AE signals associated with the stress intensity factor, K, were obtained to understand AE behavior corresponding to the fatigue crack growth in the materials. Several AE parameters, such as AE counts, energy, and hits, have been shown to be useful tools for detecting cracks, providing early warnings, and preventing failure of the AVLB structures. A major jump in AEcount rate as well as AE hit rate occurred when Kmax reached a value of about 30~MPam (27 ksiin.) for aluminum 2014-T6 specimens and about 50 MPam (46 ksiin.) for aluminum 7050-T76511 specimens. Also, AE source location techniques were able to successfully locate the path ofcrack propagation. 相似文献
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C. K. Mukhopadhyay S. Venugopal T. Jayakumar S. L. Mannan Baldev Raj B. Chatterji R. Srinivasan V. Gopalakrishnan G. Madhusudan R. S. Tripathi 《Materials and Manufacturing Processes》2006,21(5):543-549
Optimization of a sensor location for effective characterization of a hot forging process using acoustic emission (AE) signals is discussed in this paper. Acoustic emission signals generated during forging operations on an aluminium alloy were recorded using three sensors simultaneously by mounting them on the top bolster, bottom bolster, and bottom die of the press. The AE signals with maximum sensitivity could be detected with a sensor attached to the bottom die in preference to the other positions. Using AE parameters, the forging process could be differentiated into three regions, i.e., 1) yielding of the workpiece material, 2) intermediate deformation region, and 3) filling of the die. The results show that the optimum position of the AE sensor for monitoring hot forging is found to be the bottom die of the forging press. 相似文献
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D. Mba 《Journal of Failure Analysis and Prevention》2008,8(2):188-192
Vibration monitoring of rolling element bearings is possibly the most established diagnostic technique for rotating machinery. The application of Acoustic Emission (AE) for bearing diagnosis is gaining ground as a complementary diagnostic tool, however, limitations in the successful application of the AE technique have been partly due to the difficulty in processing, interpreting and classifying the acquired data. Furthermore, the extent of bearing damage has eluded the AE diagnostician. The investigation reported in this paper was centered on the application of the Acoustic Emission technique for identifying the size of a defect on a radially loaded bearing. An experimental test-rig was designed such that defects of varying sizes could be seeded onto the outer race of a test bearing. It was concluded that AE can provide an indication of the defect size, thus allowing the user to monitor the rate of degradation on the bearing. This article was originally published as “The Use of Acoustic Emission for Estimation of Bearing Defect Size” in Essential Technologies for Successful Prognostics, Proceedings of the 59th Meeting of the Society for Machinery Failure Prevention Technology, Society for Machinery Failure Prevention Technology, 2005, pp. 583–591, and is reprinted with permission. 相似文献
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