δ0.05mm薄钢带力学性能测试方法研究

研究了拉伸速率、试样类型、试样表面状态对δ0.05mm薄钢带力学性能测试的影响,通过数据对比,结果表明：拉伸速率对薄钢带的力学性能测试结果影响并不大,而试样的类型和试样的表面状态对力学性能测试结果有很大的影响;表面无缺陷的哑铃型试样可以满足检测要求,提高钢带检验一次合格率。     

Performance evaluation of creep feed grinding of γ-TiAl intermetallics with electroplated diamond wheels

This paper evaluates the performance of creep feed grinding γ-TiAl intermetallic (Ti-45Al-2Mn-2Nb) using electroplated diamond wheels. Firstly, a comparative analysis with the grinding results by using electroplated CBN wheels was conducted, mainly involving abrasive wheel wear behavior and maximum material removal rate below surface burn limit. It was found that the diamond wheel would produce much better grinding results including lower wheel wear rate and higher maximum material removal rate. Then the surface integrity obtained at different level of material removal rate was characterized with the utilization of the diamond wheel. The poor ductility of this γ-TiAl intermetallic material was found to have a marginal effect on the surface integrity, as no severe surface defects such as material pullout were generated during the stable wheel wear stage. For the involved operating parameters, a deformation layer was produced with ∼10 μm or more in thickness depending on the material removal rate used. Meanwhile, a work-hardened layer extending to more than 100 μm was produced with a maximum microhardness of above 520 HV_0.05 (bulk value 360 HV_0.05). The residual stress remained compressive, with a value of above −100 MPa and even up to −500 MPa for an elevated material removal rate. Shearing chip was the main chip type, indicating good wheel sharpness in the grinding process.     

过渡协调模式下机翼数学模型的建立

讨论了飞机制造模式由模拟量协调体系向数字量协调体系转化过程中出现的问题,重点研究了其中的关键技术,即飞机外形数字化模型的建立,主要包括理论图的分析与转化,外形数据的获取,翼型轮廓曲线的计算,外形曲面的重构以及误差检验等。上述建模过程遵循了原始设计意图,保证所建数模符合生产中使用的制造与检验依据,为定型飞机数字化建模提供了理论指导。     

铣削加工参数对SiCp/Al复合材料表面粗糙度的影响

文摘SiC_p/Al复合材料在切削加工中存在严重的表面质量问题。本文设计单因素试验,采用硬质合金涂层刀具对SiC_p/Al复合材料进行铣削加工,研究了加工参数对表面粗糙度的影响。结果表明:表面粗糙度随切削速度的增大先增大后减小,随进给量、径向切深、轴向切深的增大而增大;使用较大的切削速度、较小的进给量和不大于4 mm的径向切深能获得较好的加工表面质量。     

Interconnected Ni（OH）2 and polyether amine on carbon fiber surface for simultaneously improving interfacial adhesion of epoxy composites and electrochemical properties

Interconnected Ni（OH）₂ nanoflakes and polyether amine（PEA） were deposited on carbon fiber tows via a facial and effective process of chemical bath deposition and dip coating. Based on this, a win–win benefit of simultaneously improvements in interfacial shear strength（IFSS） of carbon fiber/epoxy composites and the electrochemical activity has been achieved. Compared with CF and CF-Ni（OH）₂ composites, the IFSS of CF-Ni（OH）₂-PEA/epoxy composite respectively increas...     

电子束熔丝增材随行退火系统及均匀面热源扫描

在电子束熔丝沉积增材制造过程中,采用电子束对零件成形区域进行扫描并控制热输入,可以改善零件的温度分布,实现随行退火,达到减小应力和控制变形的目的.采用工控机、波形发生卡、扫描线圈及其驱动电路,以及动态聚焦线圈及其驱动电路搭建了电子束高速扫描系统,实现了电子束高速扫描及动态聚焦等功能.基于LabVIEW开发了随行退火扫描...     

添加镍粉和二硼化锆防静电涂层的对比研究

对添加镍粉和二硼化锆涂层的导电性进行了对比试验，讨论了添加型防静电涂层的防静电机理。试验结果表明：添加型防静电涂层导电通路的形成是导电粒子的直接接触和隧道效应综合作用的结果。文中还推导了计算涂层中导电粒子间距的近似公式。     

AO-LSSVM在铣削铝合金表面粗糙度预测研究与应用

为提高铣削7475铝合金表面粗糙度（）的预测准确性和便捷性,本文基于天鹰优化器算法（AO）对最小二乘向量机（LSSVM）进行优化,以4个铣削参数作为输入值,作为输出值构建铣削铝合金预测模型,通过与粒子群（PSO）优化最小二乘支持向量机（LSSVM）和LSSVM 两种算法进行对比,采用灰色关联对铣削参数与表面粗糙度之间的相关性进行分析并通过GUI界面搭建预测系统。结果表明：基于AO-LSSVM的预测模型的预测误差为4.287 6%,拟合优度达到0.938 64,优于其他算法;每齿进给量与的相关性最大,灰色关联度值为0.764;通过GUI预测应用系统能实现高效、便捷、准确地预测值。     

An Adaptive Network-based Fuzzy Inference System for the detection of thermal and TEC anomalies around the time of the Varzeghan,Iran, (Mw = 6.4) earthquake of 11 August 2012

Anomaly detection is extremely important for forecasting the date, location and magnitude of an impending earthquake. In this paper, an Adaptive Network-based Fuzzy Inference System (ANFIS) has been proposed to detect the thermal and Total Electron Content (TEC) anomalies around the time of the Varzeghan, Iran, (M_w = 6.4) earthquake jolted in 11 August 2012 NW Iran. ANFIS is the famous hybrid neuro-fuzzy network for modeling the non-linear complex systems. In this study, also the detected thermal and TEC anomalies using the proposed method are compared to the results dealing with the observed anomalies by applying the classical and intelligent methods including Interquartile, Auto-Regressive Integrated Moving Average (ARIMA), Artificial Neural Network (ANN) and Support Vector Machine (SVM) methods. The duration of the dataset which is comprised from Aqua-MODIS Land Surface Temperature (LST) night-time snapshot images and also Global Ionospheric Maps (GIM), is 62 days. It can be shown that, if the difference between the predicted value using the ANFIS method and the observed value, exceeds the pre-defined threshold value, then the observed precursor value in the absence of non seismic effective parameters could be regarded as precursory anomaly. For two precursors of LST and TEC, the ANFIS method shows very good agreement with the other implemented classical and intelligent methods and this indicates that ANFIS is capable of detecting earthquake anomalies. The applied methods detected anomalous occurrences 1 and 2 days before the earthquake. This paper indicates that the detection of the thermal and TEC anomalies derive their credibility from the overall efficiencies and potentialities of the five integrated methods.     

表面张力贮箱推进剂管理装置流阻的计算

为了在设计卫星用表面张力贮箱时，正确地计算出推进剂管理装置中液体推进剂的流阻，根据液体的流动特性，研究了卫星用表面张力贮箱推进剂管理装置中推进剂在管道，筛网和一些局部流阻的计算方法，给出了各部分流阻的计算公式，据此实际计算了一个简单的推进剂管理装置，并和实验进行了比较，结果表明理论和实验较为符合。