机械加工切削用量的优化

本文探讨了机械加工中,切削用量优化目标函数,优化数学模型,优化方法步骤。以期用该模式取代凭经验选定切削用量的方法,从而提高经济效益。     

车铣切削用量优化方法研究

针对车铣复合加工的切削用量优化的问题,阐述了车铣复合加工技术的特点和应用情况,详细地描述了国内的研究现状,以及车铣复合加工切削用量优化的研究思路、方法和结论。采用以最大生产效率和最大利润率为双目标,根据已建立的车铣复合加工切削用量的数学模型和约束条件,详细分析了现代各个优化算法的特点,并结合车铣切削用量优化计算的特征,选用了遗传算法。     

高速铣削高强度钢时切削力影响因素析因与偏回归研究

研究了一定范围内高速端面铣削某新型高强度钢材料(>HRC42,抗拉强度σb>1.2GPa)过程中切削力的变化规律,并从切削变形机理上进行讨论与分析。通过L8(23)析因分析与偏回归分析,考察切削用量对铣削力的交互影响规律,使用残差分析与最小二乘法等统计方法,建立切削力与切削用量经验公式。     

固体火箭发动机总体参数优化设计

在固体火箭发动机总体参数优化设计过程中,数学模型的建立是非常重要的,数学模型建立的好坏直接影响优化计算的精度和适用性。发动机的数学模型包括能量模型和质量模型。能量模型采用了两种方法:(1)美国SPP法中的SPP经验法。(2)统计方法(Landsbaum法)。在统计方法中,采用多元回归分析的方法,编制了计算机程序,进行最佳拟合,得到一种计算固体火箭发动机实际比冲的通用公式[2]。      

基于磨粒磨损机理的机械磨损状态监测

针对机械设备磨损状态监测准确率较低的问题,基于不同磨损机理下磨粒具有不同的形状和纹理特征,提出了一种基于磨粒特征识别的机械磨损状态监测的数学模型。通过形状特征识别球状磨粒和切削磨粒,结合形状、纹理特征识别疲劳磨粒和严重滑动磨粒,基于提取的特征参数建立机械磨损状态监测的特征向量,通过量子粒子群优化(QPSO)的径向基函数神经网络模型,实现对机械磨损状态的监测和判别。实验结果表明:QPSO-RBF神经网络数学模型结构简单,比传统PSO-RBF神经网络模型的识别准确率高5%,可用于常见机械磨损状态的检测。      

碳纤维复合材料切边加工实验研究

通过实验研究了不同切削用量下刀具的磨损规律,建立了刀具切削长度与切削用量之间的关系模型,并获得了切削力随刀具切削路程单调递增变化的规律,优选出了一组刀具寿命较长的切边参数。同时,还针对铣削切边方法对刀具锋利程度要求较高的问题研究了利用磨削方式实现切边加工加工的新途径,通过实验验证了磨削加工方式可大幅度降低切边加工成本,是一种较好的切边加工方式。     

考虑复合材料蒙皮稳定性的飞机翼面结构布局优化设计

 复合材料蒙皮稳定性是飞机翼面结构设计需要考虑的重要方面。由于翼面结构稳定性理论分析的复杂性,工程中,通常采用与理论分析相比拟的简化方法、使用简便可靠的经验公式在设计过程中进行稳定性校核。多墙式结构是当前翼面结构中普遍采用的结构形式,墙的布局和蒙皮的厚度对复合材料蒙皮的临界屈曲载荷有着重要影响。因此,针对多墙式翼面结构,以工程经验公式为基础,以蒙皮单位长度上的的重量为优化目标,以墙的布局参数和蒙皮厚度为设计变量,以临界失稳载荷为约束,建立了一种考虑复合材料蒙皮稳定性的翼面结构布局优化问题的数学模型,导出了目标函数敏度计算的解析式,并提出了优化问题的求解方法。以翼盒结构为例,验证了该方法的有效性。     

镁合金高速切削条件下表面粗糙度影响因素析因分析

为研究镁合金在高速切削条件下切削用量和刀具形状对已加工表面粗糙度的影响规律,综合应用析因与均匀试验设计,以一定的切削用量和一定的刀具对Mg-Al-Zn-Mn系镁合金进行了高速车削试验,并结合回归统计与响应曲面方法建立了表面粗糙度Ra经验公式。     

切削加工优化研究

本文通过切削加工机理的研究，建立了切削加工的数学模型，为难加工材料切削用量的选择提供了科学的方法。     

一种特种阀流量特性计算的经验公式迭代方法

通过分析特种流量调节阀(简称特种阀)的结构特点,建立该特种阀的流量特性数学模型,对其流量特性进行研究,提出一种利用经验公式求解流出系数的快速迭代计算方法。采用该经验公式迭代方法,计算特种阀的流量系数和气体质量流量,并与发动机高空模拟试验数据进行对比分析,验证迭代方法的有效性。对比结果显示,该迭代方法计算的质量流量与实测值具有很好的吻合度,该迭代方法可用于特种阀的工作流量特性计算。     

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.