一种面向绿色高效的数控铣削参数优化方法

针对数控切削加工过程的高效绿色发展要求,基于数控机床主传动系统能耗模型,以最小单位切削能耗作为优化目标,建立了铣削加工优化模型,进一步采用人工鱼群算法对目标函数求解。通过铣削加工实例对铣削加工优化模型进行验证,并将优化后的参数与切削手册的经验参数及取得最大材料去除率的参数相比,发现单位切削能耗分别减少12.7%和13.8%。研究表明,所提出的切削参数优化模型能有效提高加工过程的能效,可为后续铣削加工过程切削参数选择提供参考。     

基于支持向量机和粒子群算法的钛合金铣削加工参数优化

钛合金材料在加工过程中受铣削力影响易于产生变形而影响加工效果,为保证加工质量,提高生产效率及降低加工成本,研究切削加工参数的合理选择非常重要.对钛合金材料Ti6Al4V铣削加工进行有限元数值计算,结合试验设计方法构建了基于支持向量机的切削力预测模型,以材料去除率为优化目标,提出了一种基于支持向量机和粒子群算法的优化方法,对钛合金铣削加工参数进行了优化.结果表明,该方法准确、高效、可行,为钛合金加工工艺参数优化提供一种新的方法,具有良好的推广价值.     

大型客机维修成本优化研究

在设计初期通过加强可靠性设计与维修性设计降低大型客机直接维修成本(DMC),是提高大型客机经济性的有效途径。本文建立了基于可靠性设计参数和维修性设计参数的大型客机维修成本模型,采用协同优化方法对可靠性和维修性设计参数进行协同优化,寻求降低维修成本的满意设计参数。通过对维修成本模型中的设计参数的优化,给出了协同优化方法进行复杂的大型客机维修成本设计优化的一般思路。并用大型客机起落架系统的直接维修成本优化算例验证了协同优化算法解决大型客机维修成本优化问题的有效性。     

中低速数控铣削参数优化技术研究及应用

采用平均铣削力系数模型对数控加工过程中的铣削力进行仿真预测.在此基础上,综合考虑数控加工过程中机床、刀具以及工件3方面限制加工效率的因素,对主轴转速、进给速度、径向切宽以及轴向切深4个参数进行优化.利用VC与Matlab编程,开发了"中低速数控铣削过程力学仿真与参数优化系统".针对航空难加工材料GH4169,在SandviK推荐参数基础上进行仿真优化.结果表明,基于力学仿真的数控铣削参数优化技术在难加工材料加工中可提高加工效率12%～378%.     

一类流线型曲面高效数控铣削加工方法研究及应用

针对一类典型流线型曲面——叶片的高效数控铣削加工方法研究,提出了基于加工系统动力学仿真分析的高效切削参数优化技术,该方法是提高切削加工效率,保证零件加工精度和表面质量的有效手段.首先,辨识得到加工零件材料的铣削力系数;其次,利用锤击试验分别得到机床-刀具系统及弱刚性零件结构的动态特性,同时利用有限元方法进行模态分析,并与试验结果进行对比分析,可辅助验证锤击试验结果的正确性,在此基础上仿真得到铣削颤振稳定域曲线,然后对建立了基于加工系统动态稳定性的高效数控铣削加工参数优化系统进行高效铣削参数优化;最后,依据优化的铣削参数制定零件铣削加工工艺,试验得到了加工质量合格的叶片,其加工效率较传统方法有显著的提高.     

基于PSO-SVM的民航发动机送修等级决策研究

为降低航空公司维修成本,增强送修等级决策科学性,保障飞行安全,提出基于PSO-SVM的民航发动机送修等级决策算法.首先利用改进的粒子群优化(Particle Swarm Optimization,PSO)算法对支持向量机(Support Vector Machine,SVM)参数进行寻优,并提出将交叉验证(Cross Validation,CV)的平均分类精度作为PSO的适应度值.对某型发动机送修等级的真实数据进行了决策对比研究,研究数据表明:与传统的Grid和GA算法相比,PSO的参数寻优效果要更优;在小样本分类时,PSO-SVM的分类精度要远高于常用的神经网络分类模型径向基函数(Radial Basis Function,RBF)模型和学习向量量化(Learning Vector Quantization)模型.     

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。     

基于PSO-GA优化的TOP-HAT形态学滤波器及其应用

针对机栽红外图像中运动弱小点目标检测的难题,提出了一种基于PSO-GA训练参数的形态学滤波器.以粒子群优化算法(Particle Swarm Optimization,PSO)为主线,按PSO算法中标准的速度和位置更新,遗传算法(Genetic Algorithm,GA)采用新的区间离散化编码和自适应的主次式交叉与变异算子,将遗传算法与粒子群优化算法的自动更新特征结合在一起,通过优化搜索全局空间获得形态学滤波器的最优参数,进而确保优化的形态学滤波器具有良好的滤波性及时效性.通过对低信噪比红外图像(SNR约为2)的测试,检测概率可以达到98％以上,与利用神经网络(Neural Network,NN)训练结构元素后的Top-Hat形态学滤波器相比提高了2％ ～3％.与GA算法相对,训练算法效能提高20％,提高了搜索最佳值的能力.     

Technological Research on Milling of Quench Steel

通过对45号、30CrMnSiA为主的淬火钢(硬度HRC35-50)铣削加工的研究,分析了淬火钢铣削过程中各影响因素,优化了切削参数,确定了适合加工淬火钢的刀具几何参数及材料,明确硬质合金刀具加工淬火钢时,应该采用油雾冷却,为以后的淬火钢铣削加工提供依据和指导.     

航空电子设备冷却轴流风扇优化设计

基于风扇参数化设计和数值模拟程序,分析风扇各主要结构参数对其气动性能的影响,为进一步的优化设计提供了条件.采用并行计算流体力学(CFD)方法,基于组合优化策略(正交实验设计、响应面模型、遗传算法和混合整型算法)以多工作点流量系数平均值最大为目标函数对风扇进行多参数结构优化.8025型轴流风扇的优化结果比初步设计方案的性能提高14.5%.      

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.