离子束加工KDP晶体材料表面粗糙度演变

针对KDP晶体材料在离子束加工时晶体表面粗糙度变化情况进行了研究,研究了束电压和束电流的大小对KDP晶体表面粗糙度的影响,采用PSD功率谱分析方法探究了KDP晶体在离子束加工前后表面粗糙度频域分布及其演变情况,研究结果表明KDP晶体表面粗糙度的变化不仅与加工工艺参数有关还与材料本身性质有关,在采用较大入射角时可以使晶体表面的高频段误差得到改善.     

特种材料结构件精密车削研究

分别以残余应力、表面粗糙度、损伤层深度和抗拉性能为考核指标,采用正交实验法对特种材料结构件的精密车削工艺参数进行了综合优化,破解了以往生产过程中仅依靠经验选取加工参数的难题,为获得惯性级特种材料低应力精密加工技术、提高产品长期稳定性提供了一定的理论基础.     

单晶硅透镜铣磨工艺参数优化研究

针对红外光学领域应用广泛的非球面单晶硅透镜,开展非球面法向磨削加工工艺研究.通过正交试验方法研究了砂轮转速、铣磨深度以及进给量等工艺参数对非球面铣磨加工表面粗糙度和材料去除率的影响规律,并通过灰关联分析,得到了一组针对法向磨削法加工表面粗糙度和材料去除率双指标优化的工艺参数.研究结果表明通过提高砂轮转速能够显著降低非球...     

超声振动铣磨加工对铁氧体表面质量的影响研究

为解决惯性仪表磁悬浮轴承铁氧体零件的精密加工难题,开展铁氧体超声振动铣磨加工表面粗糙度预测和加工表面三维仿真技术研究,进行铁氧体磁性材料超声振动加工实验,研究工艺参数对加工表面质量的影响规律,为提高铁氧体材料的加工效率和加工质量提供依据.     

高速铣削TC21 钛合金的表面粗糙度

通过对TC21钛合金进行高速铣削加工试验,测量不同切削参数下的表面粗糙度.采用正交方法来安排试验和极差分析法对实验数据处理,分析了不同切削参数对粗糙度的影响.其中对TC21钛合金表面粗糙度影响最为显著的因素是每齿进给量,其次为切削深度和切削速率,最后为切削宽度.通过对粗糙度影响机理分析在加工中宜采用较小的进给量和切削深度、较大的切削速率和切削宽度.     

气氛对紫外激光非晶合金盲孔加工性的影响研究

为了获得不同气氛对紫外激光加工非晶合金盲孔的质量和效率的影响,采用波长355nm的纳秒激光对Zr–Cu非晶合金进行同心圆式旋切法盲孔加工试验,利用光学显微镜、扫描电镜、激光共聚焦显微镜等仪器对盲孔的显微形貌、粗糙度和加工效率进行了测试。结果表明,气氛的压力和种类影响着盲孔的底面形貌、加工质量和效率。气氛压力越小,盲孔底面粗糙度越低,材料的去除效率越高;相对于氮气、空气中的加工,氧气中表面粗糙度最小,且材料去除率最高。另外,加工表面未出现晶化现象,说明在一定激光参数下紫外纳秒激光可以实现非晶态合金的无晶化加工。     

高体积比铝基SiC复合材料的铣磨试验研究

为了改善高体积比铝基SiC复合材料的可加工性,提高加工效率,本文对高体积比铝基SiC复合材料进行了平面铣磨加工试验研究.试验结果表明,高体积比铝基SiC复合材料在铣磨加工中主要表现为脆性材料的特性,电镀金刚石砂轮在磨削过程中不会出现磨屑粘附现象.SiC颗粒的破损程度是影响表面粗糙度的主要因素,并且在相同磨削参数和条件的情况下随着颗粒的破损程度、砂轮粒度的增大和进给速度vf的降低,磨削表面的粗糙度值会逐渐减小.在给定其他试验参数的情况下,120#的φ8mm电镀砂轮适合进行粗磨,并且磨削的材料去除率能够达到2400mm3/min,同时进给抗力Fz小于25N,磨宽抗力Fx和磨深抗力Fy小于15N.使用230#的φ8mm电镀砂轮进行精磨能够保证表面形成率达到6400mm2/min,并使表面粗糙度优于Ra0.4μm.     

超声复合研磨光学玻璃机理及表面特征

根据光学玻璃硬度高和脆性大的特点,从理论上分析了超声波研磨加工光学玻璃材料的去除机理,试验表明,超声加工工具振动振幅为0.03～0.1mm,频率为16～ 25 kHz条件下,超声波的超精密加工光学玻璃比不加超声振动加工材料去除率高1.5倍左右,表面质量好,粗糙度值降低100％左右.     

硬脆性材料功能微结构精密磨削实验

基于硬脆性材料加工机理分析了其微结构磨削表面精度与磨削工艺的关系,利用压痕法研究硬脆性材料加工的脆塑转变临界条件,在此基础上结合最大切屑厚度h模型及表面粗糙度Ra模型初步确定了磨削加工工艺参数范围。分析了切削速度与工件进给速度对表面粗糙度的影响机制和规律,并针对石英玻璃进行了磨削实验。研究结果表明,在延性域磨削条件下可获得磨削后表面粗糙度为55nm的高质量表面,为硬脆性材料微结构延性域临界磨削条件研究提供了理论参考与试验依据。     

钛合金超声辅助磁性磨料光整加工工艺优化

为了研究加工参数对钛合金超声辅助磁性磨料光整加工(UAMAF)的影响,以表面粗糙度和材料去除率(MRR)为指标开展正交试验研究,运用信噪比与灰色关联度分析方法分别对加工参数进行单目标和多目标优化.结果表明,以表面粗糙度和MRR为目标的最佳工艺为磨粒粒度均为50/60#,振幅均为14μm,工具转速分别为1000r/min...     

The effect of inlet conditions on the flow and heat transfer in multiple rotating cavity with axial throughflow

This paper discusses experimental results from two different build configurations of a heated multiple rotating cavity test rig.Measurements of heat transfer from the discs and tangential velocities are presented.The test rig is a 70% full scale version of a high pressure compressor stack of an axial gas turbine engine.Of particular interest are the internal cylindrical cavities formed by adjacent discs and the interaction of these with a central axial throughflow of cooling air.Tests were carried out for a range of non-dimensional parameters representative of high pressure compressor internal air system flows(Re up to 5×106 and Rez up to 2×105).Two different builds have been tested.The most significant difference between these two build configurations is the size of the annular gap between the(non-rotating) drive shaft and the bores of the discs.The heat transfer data were obtained from thermocouple measurements of surface temperature and a conduction solution method.The velocity measurements were made using a two component,LDA system.The heat transfer results from the discs show differences between the two builds.This is attributed to the wider annular gap allowing more of the throughflow to penetrate into the cavity.There are also significant differences between the radial distributions of tangential velocity in the two builds of the test rig.For the narrow annular gap,there is an increase of non-dimensional tangential velocity V/Ωr with radial location to solid body rotation V/Ωr=1.For the wider annular gap,the non-dimensional velocities show a decrease with radial location to solid body rotation.      

Research on Auto-detection for Remainder Particles of Aerospace Relay Based on Wavelet Analysis

Aerospace relay is one kind of electronic components which is used widely in national defense system and aerospace system. The existence of remainder particles induces the reliability declining, which has become a severe problem in the development of aerospace relay. Traditional particle impact noise detection (PIND) method for remainder detection is ineffective for small particles, due to its low precision and involvement of subjective factors. An auto-detection method for PIND output signals is proposed in this paper, which is based on direct wavelet de-noising (DWD), cross-correlation analysis (CCA) and homo-filtering (HF), the method enhances the affectiv-ity of PIND test about the small particles. In the end, some practical PIND output signals are analysed, and the validity of this new method is proved.     

Preparation of Highly Dispersed Antimony-doped Tin Oxide Nano-powder via Ion-exchange Hydrolysis of SnCl4 and SbCl3 and Azeotropic Drying

Antimony-doped tin hydroxide colloid precipitates have been synthesized by hydrolysis of SnCl4 and SbCl3 using: (1) an ion-exchange hydrolysis to remove chlorine ions, and (2) isoamyl acetate as an azeotropic solvent to obviate water. The obtained dried powder is of high dispersivity without any need for further grinding. The size and dispersivity of the final particles are investigated with the aid of TG-DTA, BET, XRD and TEM. After having calcined, the antimony-doped tin oxide nanopowder possesses a tetragonal rutile structure with high dispersivity, uniform particles and low hard agglomeration.     

Effects of Mo on the Microstructure and Hydrogen Sorption Properties of Ti-Mo Getters

The effects of Mo on the microstructure evolution, porosity and hydrogen sorption properties of Ti-Mo getters are investigated in this work. The results show that the addition of Mo prolongs the densification process of Ti-Mo getters and results in a significant amount of sintered pores. With the Mo content increasing, the porosity of getters firstly increases reaching the maximum value as it at- tains about 7.5wt.%, and then drops. At the room temperature, the hydrogen sorption property of getters increases progressively with the Mo content increasing, but the tendency is not very clear before its content lies below 2.5wt.%. When the Mo content achieves about 7.5wt.%, the hydrogen sorption property proves to be the best. The discussion is made about the above mentioned phenomena inclusive of hydrogen sorption properties of getters under different activation conditions (from 500-750 ℃).     

超声速燃烧数值模拟中的湍流与化学反应相互作用模型

高精度数值模拟有助于理解超声速湍流燃烧中湍流与化学反应的相互作用,可为发动机燃烧室等工程应用设计提供可靠的预测模型。除直接数值模拟外,目前在湍流燃烧应用中使用的大涡模拟和雷诺平均Navier-Stokes模拟均需要借助模型模化发生在湍流小尺度上的流动与化学反应过程对湍流大尺度运动的影响。现有的湍流与化学反应相互作用模型大致可分为:火焰面类模型和概率密度函数类模型,2类模型在不同的应用中各自具有优势和局限性。此外,现有模型大都基于低马赫数燃烧,而超声速燃烧中通常会伴随快速混合、局部熄火和再着火以及激波等复杂过程,这为发展其中的湍流与化学反应相互作用模型提出了更多的挑战。     

适于低轨卫星IP网络的单核共享树组播算法(英文)

为了解决低轨卫星IP网络中现有典型源组播算法的信道资源浪费问题,本文提出了一套单核共享树组播算法,即核心群合并共享树(CCST)和加权核心群合并共享树(w-CCST)算法。CCST 算法包括动态近似中心(DAC)选核方法和核心群合并组播路径构建方法。DAC方法专为周期、规律运动的低轨卫星网络提出,不需要复杂的星上计算。在核心群合并方法中,以核节点作为初始核心群,通过核心群和剩余组成员的最短路径方法逐步扩展直至整棵组播树构建完成,从而使得组播树的树代价最小,大大提高了网络的带宽利用率和组播传输效率。w-CCST 算法中所提出的加权因子可以调整树代价和端到端传播时延之间的折衷程度,因此,可以通过调整加权因子来适度增大树代价、降低端到端传播时延以支持某些端到端时延要求苛刻的实时组播业务。最后,与低轨卫星 IP 网络中典型算法进行了性能比较,仿真结果说明,CCST 算法的平均树代价比其它算法显著降低,w-CCST 算法的平均端到端传播时延小于 CCST 算法。     

Jet Vectoring Control Using a Novel Synthetic Jet Actuator

A primary air jet vectoring control system with a novel synthetic jet actuator (SJA) is presented and simulated numerically. The results show that, in comparison with an existing traditional synthetic jet actuator, which is able to perform the duty of either “push” or “pull”, one novel synthetic jet actuator can fulfill both “push” and “pull” functions to vector the primary jet by shifting a slide block inside it. Therefore, because the new actuator possesses greater efficiency, it has potentiality to replace the existing one in various appli- cations, such as thrust vectoring and the reduction of thermal signature. Moreover, as the novel actuator can fulfill those functions that the existing one can not, it may well be expected to popularize it into more flow control systems.     

Nonlinear Adaptive Slewing Motion Control of Spacecraft Truss Driven by Synchronous V-gimbaled CMG Precession

The slewing motion control of a truss arm driven by a V-gimbaled control-moment-gyro (CMG) is a nonlinear control problem. The V-gimbaled CMG consists of a pair of gyros that must precess synchronously. The moment of inertia of the system, the angular momentum of the gyros and the external disturbances are not exactly known. With the help of feedback linearization and recursive Lyapunov design method, an adaptive nonlinear controller is designed to deal with the unknown items. Performance of the proposed controller is verified by simulation.     

An SOR Implicit Time-accurate Scheme in Calculating Unsteady Flows

A new time-accurate marching scheme for unsteady flow calculations is proposed in the present work. This method is the combination of classical Successive Over-Relaxation (SOR) iteration method and Jacobian matrix diagonally dominant splitting method of LUSGS. One advantage of this algorithm is the second-order accuracy because of no factorization error. Another advantage is the low computational cost because the Jacobian matrices and fluxes are only calculated once in each physical time step. And, the SOR algorithm has better convergence property than Gauss-Seidel. To investigate its accuracy and convergency, several unsteady flow computa- tional tests are carried out by using the proposed SOR algorithm. Roe’s FDS scheme is used to discritize the inviscid flux terms. Un- steady computational results of SOR are compared with the experiment results and those of Gauss-Seidel. Results reveal that the numerical results agree well with the experimental data and the second-order accuracy can be obtained as the Gauss-Seidel for unsteady flow computations. The impact of SOR factor is investigated for unsteady computations by using different SOR factors in this algorithm to simulate each computational test. Different numbers of inner iterations are needed to converge to the same criterion for different SOR factors and optimal choice of SOR factor can improve the computational efficiency greatly.