Tailoring soft magnetic properties of Fe-based amorphous alloys through C addition

It is known that developing Fe-based amorphous alloys with the saturation flux density(B_s) higher than 1.65 T is a major challenge.In present work,effects of C addition on magnetic properties of Fe-based amorphous alloys were systematically studied.It has been found that the addition of C can significantly increase the saturation flux density(B_s) and the magnetic flux density at 800 A/m(B_(800)) of the Fe-B-C-Si-P amorphous alloys.After the addition of C,the B_s of the amorphous alloys increase from 1.61 T(Fe_(83)B_(13)Si_3 P_1) to 1.65-1.71 T(Fe_(83)B_(13-x)C_xSi_3 P_1,x=1.5,2,3 and 4). The Fe_(83)B_(10)C_3 Si_3 P_1 amorphous alloy possesses excellent soft magnetic properties with high B_s of 1.71 T and low H_c of 1.5 A/m.It shows that density increase of the alloys and weakened metalloid-sp/metal-d bonding caused by C addition contribute to the increment of B_s.It suggests that the newly developed high-performance amorphous alloys possess great potential in application.     

Effect of Al on microstructure and mechanical properties of as-extruded Mg–1Mn alloy sheet

The effect of Al addition on microstructure and mechanical properties of hot extruded Mg–1 Mn alloy sheet was investigated. The results revealed that the dynamic recrystallization was promoted by increasing Al content. The ultimate tensile strength and yield strength of the alloy increased with the increase of Al content. The Mg–9 Al–1 Mn alloy exhibited the highest strength, with tensile strength of 308 MPa, 307 MPa, 319 MPa, yield strength of 199 MPa, 207 MPa, 220 MPa and the elongation of 20.9%, 20.1%, 19.2% in 0°, 45°, 90°, respectively.The high strength was mainly attributed to the formation of fine dynamically recrystallized grains and large amounts of the second phase. The strengthening mechanism of the alloys was explained.     

Microstructure,mechanical properties and wear resistance of an Al–Mg–Si alloy produced by equal channel angular pressing

Microstructure, mechanical properties and wear resistance in an ultrafine-grained Al–Mg–Si alloy fabricated utilizing a combination of equal channel angular pressing (ECAP) and dynamic aging were investigated in this paper. The results indicated that the grain size of the ECAP alloy was significantly refined, i.e., to ~239 nm after three ECAP passes. Meanwhile, the yield and tensile strength of the ECAPed material reached 340 MPa and 445 MPa, respectively, while maintaining a significant uniform elongation of 14%. Wear resistance results demonstrated that the wear rate, wear depth and width of the ECAPed material decreased in comparison with the solution-treated (SST) and peak-aged (T6) conditions under a load range of 5–25 N. The adhesive wear that occurs in the undeformed specimens at 10 N does not appear in the ECAPed specimen at the same load, indicating that the ECAPed specimen delay the appearance of more serious wear mechanisms under certain loads. The cooperative interaction of high density nano-scale β" precipitates and dislocations resulted in a combination of super-high strength and good work hardening ability which suppressed the extension of cracks between the friction layer and the plastic deformation zone. As a consequence, the combination of ECAP and dynamic aging brings a significant improvement for antifriction performance of the 6061 aluminum alloy.     

Effect of heat treatment on microstructures and properties of a novel Al-Zn-Mg-Cu alloy for oil drilling

In view of the special requirements for strength, heat resistance and corrosion resistance of Al-Zn-Mg-Cu alloy for oil drilling, the Al-6.2 Zn-2.5 Mg-1.6 Cu alloy was prepared by increasing Cu content on basis of Russian Series 1953 alloy. The effect of heat treatment on the microstructures and properties of the alloy was characterized by optical microscope(OM), scanning electron microscope(SEM) and transmission electron microscope(TEM), and investigated by tensile test at room temperature, thermal exposure test and corrosion test. The results show that the strength after T6 aging treatment exhibit a decrease trend as an increase of the solution temperature from465 °C to 480 °C. After the solution treated by the rate of 470 °C/1 h, second phases dissolve into the matrix very well and the strength property reaches optimum. The alloy has better comprehensive properties treated by a solution treatment of 470 °C/1 h and then followed by an aging treatment of 120 °C/24 h + 170 °C/1 h + 120 °C/24 h. Under the aging state, the precipitated phases inside the grains are suitable in size, while on the grain boundary distribute discontinuously and the precipitate-free zone is obvious. Besides, the alloy still maintain high tensile properties. The yield strength, tensile strength and elongation are 650 MPa, 686 MPa,12.0%, respectively. The yield strength retention after heat exposure is 92%. The alloy has good corrosion resistance and the exfoliation corrosion degree. The average corrosion rate in the H_2S and CO_2 environment is 0.0024 mm/a, which is far less than the required 0.12 mm/a. It is insensitive to H_2S and CO_2 environments.     

非同分布φ混合序列加权和的强极限收敛性

利用φ混合序列矩不等式和截尾的处理方法,研究非同分布φ混合序列加权和强极限收敛性质的问题,得到了若干新结果,推广并改进了独立同分布情形下的相应结果.     

循环作用对马蹄寺石窟群岩体性能的影响

马蹄寺石窟群地处河西走廊中部,气候条件十分恶劣。由于常年受到温度、湿度、酸碱盐等作用的影响,石窟岩体性能出现了不同程度的劣化现象。通过开展室内模拟试验,研究以上多种恶劣环境的循环作用对于岩体抗压强度、波速、质量的影响规律,同时使用X射线衍射仪(X-ray diffraction,XRD)、X射线荧光光谱(X-ray fluorescence,XRF)和扫描电子显微镜(scanning electron microscope,SEM)对循环作用过程中样品的矿物组分、元素含量和微观形貌进行分析研究。研究结果表明,循环作用使样品中的长石类矿物和方解石含量降低,黏土类矿物含量增加,胶结程度下降,孔隙逐渐发展成为横向微裂隙,导致样品的性能出现不同程度的劣化现象。循环作用对岩体性能的影响程度从大到小依次为冻融循环、耐盐循环、耐碱循环、耐酸循环和温湿循环。     

基于回转输运试验的煤散料离散元接触参数修正

为获取精确的刮板输送机离散元模拟结果，基于回转输运试验，通过响应面法对煤料的接触参数进行修正.采用Plackett-Burman试验考察接触参数对受力及堆积角的影响，发现煤-钢静摩擦系数、煤-煤摩擦系数具有显著正效应.根据爬坡试验结果，以受力及堆积角为响应值规划Box-Behnken试验，建立受力、堆积角与显著项间的二次回归多项式，以实测数据为目标值求得最佳参数:煤-钢静摩擦系数为0.401，煤-煤静摩擦系数为0.333，煤-煤滚动摩擦系数为0.041.通过不同输运条件下的回转试验验证了参数的准确性，为刮板输送机的离散元研究提供参考.     

春节模型的效应期识别方法研究

春节模型的参数设定目前更多依赖于研究者的主观判断.为解决这一问题,本文首先介绍了春节因素调整的一般过程以及模型设定和检验的相关细节.在此基础上,提出一种基于"循环遍历"方式和序贯检验方法来自动选择春节模型的最优参数组合的新思路.并以社会消费品零售总额月度序列的春节模型的最优效应期长度识别为例,检验该方法的可行性和有效性.实证结果显示,基于季节峰值、离群值点、Q统计量、AICC值和BIC值等统计量的序贯检验能够有效识别出春节模型的最优效应期长度,进而改善春节模型的季节调整性能.     

高温作用后砂岩物理力学性质阈值温度的确定——基于机器学习算法

通过采用机器学习算法，提出了高温作用后砂岩物理力学性质变化的阈值温度的确定方法。基于Python语言，利用K-Means、SVM算法，实现了对样本数据的分类和聚类，确定了阈值温度区间，验证了二分类法的合理性和准确性.结果表明，砂岩样本的阈值温度区间为400~600 ℃，阈值温度上下砂岩的物理力学性质存在显著差异，体现为阈值温度区间以下的岩样物理力学性质较为分散，而阈值温度区间以上的岩样物理力学性质较为集中.     

基于后验风险确定故障样本量的Bayes方法

针对目前测试性故障样本量的确定方法过于粗糙和试验样本量过大的问题,提出了合理运用信息熵方法对装备系统各单元的测试性先验信息进行信息融合,得到装备系统级测试性试验数据。在此基础上得到测试性指标的先验分布,并进一步通过Bayes后验风险准则确定故障样本量及试验方案。以某型电动舵机系统各模块的试验数据为例,以故障检测率为测试性指标,经过分析和计算,发现运用所提方法得到的故障样本量相比传统方法明显减少,从而减少了试验成本,同时得到的测试性指标相对误差较小,保证了可信度。