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41.
Thixo-molded AE42 Mg alloy was friction stir welded, and the soundness of joints was evaluated, together with the microstructure evolution and mechanical properties in friction stir zones. According to X-ray radiography, the optimum FSW condition range of AE42 alloy exists between AZ61 and AZ31 alloys, and it seems that the optimum welding condition range increases with decreasing Al content in the Mg alloys. There are mainly two kinds of compounds in the thixo-molded AE42 alloy, and FSW has little influence on the grainy Al10RE2Mn7 compound, but it has great influence on Al11RE3 phase, which is changed from lamellar eutectic to small particles after welding. Furthermore, the average diameter of Al11RE3 particles in SZ decreases with increasing the traveling speed at constant rotation speed due to less heat input. The hardness in SZ is higher than that in BM, and tensile strength and elongation are both improved after welding because the stirring refines and uniforms the microstructure and intermetallic compounds. 相似文献
42.
硬切削作为绿色切削的重要组成部分,已成为金属切削的一个研究热点。为了对硬切削过程进行监测,建立了一套信号采集系统,通过该系统采集模具钢铣削过程中的振动信号和声发射信号,并从时域、频域对其进行了分析研究。研究结果表明:模具钢硬铣削过程的振动信号和声发射信号的时域波形呈现不同的特点;振动信号和声发射信号的均方根值随切削速度的增大均呈明显的增大趋势,而受每齿进给量和铣削深度影响很小;随着切削速度的提高,振动信号各频段的幅值均增大,但频谱分布基本不变;随切削速度的提高,声发射信号的频谱成分增多,并导致了均方根值的增大。 相似文献
43.
急倾斜坚硬岩柱稳定性预测对科学采矿具有重要意义。以乌鲁木齐矿区急倾斜特厚煤层安全开采为背景,基于平面组合加载试验平台,构建急倾斜坚硬岩柱动态破裂"声–热"演化特征模型试验,采用岩石破裂声发射和红外热像综合监测方法,揭示开采扰动作用下岩柱破裂过程中的声发射与温度演化规律。研究表明:坚硬岩柱破裂过程中红外热像呈现温度辐射区(可分为低温边界区、中温过渡区和高温中心区);岩柱破裂经历弹性变形、微破裂至破裂失稳过程,该过程中温度辐射区温度逐渐降低,AE能率呈持续性增长;动态破裂"声–热"演化实质为热弹效应和摩擦热效应。这对急倾斜特厚煤层安全开采具有科学意义。 相似文献
44.
为研究不同浸水时间饱水岩石损伤破坏过程中的力学特性和声发射特征,对天然及不同浸水时间的饱水闪长岩进行单轴压缩力学试验和声发射试验,研究单轴应力状态下其力学特性和声发射特征,结合累积声发射数与损伤变量一致的观点,建立了基于浸水时间的饱水岩石声发射损伤模型。结果表明:饱水岩石的单轴抗压强度和弹性模量随浸水时间的增加呈指数的变化规律逐渐减小,浸水60 d后其值均趋于稳定;在加载的各个阶段不同浸水时间的饱水岩样均有声发射事件产生,声发射事件率与岩样的应力-应变关系趋势均具有较好的一致性;声发射累积数的变化规律与岩样内部损伤演化规律具有一致性。 相似文献
45.
电解质中Al2O3浓度特性的研究 总被引:3,自引:0,他引:3
针对电解槽生产过程中的AI2O3表现出来的一些特性结合模糊控制技术进行有关研究,其中主要包括AI2O3浓度与槽表观电阻关系,AI2O3浓度与电流效率关系,AI2O3浓度与AE关系等研究。这些关系及其影响因素的研究为电解槽模糊控制技术打下了基础。 相似文献
46.
M. Cai P.K. Kaiser H. Morioka M. Minami T. Maejima Y. Tasaka H. Kurose 《International Journal of Rock Mechanics and Mining Sciences》2007,44(4):550-564
Acoustic emission (AE) and microseismic (MS) events are indicators of rock fracturing or damage as the rock is brought to failure at high stress. By capturing the AE/MS events, underground excavation induced rock mass degradation or damage can be located and evaluated. A better understanding of the extent and shape of the excavation damaged zone (EDZ) or yield zone around caverns helps to arrive at safe and economic design and construction of the caverns. For this purpose, one needs to understand the AE mechanism associated with the excavation process.In the present study, a coupled numerical method is used to study AE at the Kannagawa underground powerhouse cavern in Japan. Two codes, Fast Lagrangian Analysis of Continua (FLAC), a finite difference code and Particle Flow Code (PFC), a distinct element code, are coupled. The motive to apply the FLAC/PFC coupled approach is to take advantage of each modeling scheme while at the same time minimizing the requirement for computational resources. The coupling is realized through an exchange of displacements, velocities, and forces in each cycling step. The rock mass surrounding an AE sensor is modeled using PFC and the remaining rock mass is modeled with FLAC to consider the geological complexity and the excavation sequence. In this manner, the AE activities at AE sensor locations of the Kannagawa cavern were simulated and found to be in good agreement with field monitoring results. This approach takes account of stress redistribution and provides stress and displacement patterns in the rock mass that are consistent with AE observations for excavation design. The observed AE activities in the rock mass can thus be utilized to assess the effectiveness of the rock support system and the overall stability of the cavern. 相似文献
47.
Saba Mylvaganam 《Particulate Science and Technology》2003,21(3):293-301
Acoustic emission (AE) has been used in many applications in the field of particle science and technology. AE sensors have been used in particle concentration measurements both in gas-continuous and oil-continuous flows in the oil and gas industry. To avoid formation sand flowing into pipelines, leading to erosion of valves and in many cases even to complete blockage of the flow of oil and gas, AE sensors are almost exclusively used in sand monitoring and control. These are very often among standard sensors stipulated by the operators of oil and gas production facilities in offshore, on shore, and subsea applications. Special types of sensor design have led to easy mounting of these AE sensors, which are very often clamp-on devices. This article presents a brief overview of AE-based particle monitoring in general and focuses on flange-mounted sensors in the monitoring of particle flow. By using two or more AE sensors located suitably in the process line, the particle velocity can also be evaluated, as is shown in examples using correlation in this article. The AE sensors can easily be adapted to detect malfunctioning of the process line, whether pneumatic lines or silos, just by analyzing the time series of signals from strategically based AE sensors along the process lines. Some examples are given based on recent measurement data. Finally, the article presents an overview of possibilities for improved particle flow monitoring using a multisensor suite incorporating AE sensors with other sensors/detectors such as those derived from capacitance, resistance, gamma ray, microwave, and optical devices. Artificial intelligence (AI) techniques, such as fuzzy logic and neural network algorithms, used in handling the data from these sensors lead to faster and more reliable control. Some of these topics are addressed also. 相似文献
48.
49.
地音监测技术及其在矿压监测中的应用研究 总被引:17,自引:1,他引:17
在总结我们的研究成果基础上,较全面地介绍了我国地音监测技术的研究现状及其在冲击地压预测预报、顶板动态监测方面的应用实践。研究与实践的结果表明,经过10多年的研究和应用,我国地音监测技术获得了很大发展,地音监测技术在矿压中的应用已达到了实用阶段。 相似文献
50.