模具约束条件对H96黄铜双脊矩形管E弯截面变形的影响

 双脊矩形管的绕弯成形受内外侧模具的共同约束,不同模具约束下管坯的受力不同,使得其截面变形情况也不相同,而截面变形严重地影响弯管件的成形质量和使用性能。因此,基于ABAQUS有限元平台建立了双脊矩形管E弯成形三维有限元模型,并通过实验验证了模型的可靠性。采用所建模型,研究了内外侧模具约束条件对双脊矩形管E弯截面变形的影响规律,发现当只有内腹板脊槽受约束时,内腹板脊槽的内缩变形可得到较好的控制,而其他部位的变形则有增大的趋势;当只有外腹板脊槽受约束时,内腹板脊槽宽度变形基本不发生变化,而其他部位的变形则有减小的趋势;当内外腹板脊槽均受约束时,可较好地控制双脊矩形管E弯过程中的截面变形。芯头个数对整管截面高度、宽度、外腹板脊槽宽度与两脊槽底部的间距的变形影响较大,但对内腹板脊槽宽度的变形影响不显著。     

大型齿圈加工变形与防治措施的研究

在生产中大直径薄壁结构齿圈加工变形是经常遇到的问题。本文以某产品齿圈制齿后出现严重锥度变形问题为例，分析引起变形的原因，通过反复实验，找到了避免变形的有效措施。     

基于虚拟仪器的切削力监控技术研究

研制了一种基于虚拟仪器界面、供现场使用的高精度、高效率的金属切削过程监控系统。研究中采用回归分析、叠加原理及抛物线插值的方法建立切削力模型 ,并基于该模型进行参数估计来提取切削状态特征 ,进而监控整个切削过程     

Vibration signal-based chatter identification for milling of thin-walled structure

In high speed milling aeronautical part, tool condition monitoring(TCM) is very important, because it is prone to get a chatter owing to the low stiffness of thin-walled structures. And the TCM is key technology for automated machining. In this paper, aiming to chatter monitoring in thin-walled structure milling, a variational mode decomposition – energy distribution(VMD-ED)method is proposed to improve the identification accuracy. And a moving average root mean square – mean value(MARMS-MV) ide...     

Real-time clock comparison and monitoring with multi-GNSS precise point positioning: GPS,GLONASS and Galileo

The precise point positioning (PPP) technique is widely used in time and frequency applications. Because of the real-time service (RTS) project of the International GNSS Service, we can use the PPP technique for real-time clock comparison and monitoring. As a participant in the RTS, the Centre National d’Etudes Spatiales (CNES) implements the PPPWIZARD (Precise Point Positioning with Integer and Zero-difference Ambiguity Resolution Demonstrator) project to validate carrier phase ambiguity resolution. Unlike the Integer-PPP (IPPP) of the CNES, fixing ambiguities in the post-processing mode, the PPPWIZARD operates in the real-time mode, which is also called real-time IPPP (RT-IPPP). This paper focuses on applying the RT-IPPP for real-time clock comparison and monitoring. We review the principle of real-time clock comparison and monitoring, and introduce the methodology of the RT-IPPP technique. The observations of GPS, GLONASS and Galileo were processed for the experiments. Five processing modes were provided in the experiment to analyze the benefits of ambiguity resolution and multi-GNSS. In the clock comparison experiment, the average reduction ratios of standard deviations with respect to the G PPP mode range from 9.7% to 35.0%. In the clock monitoring experiment, G PPP mode can detect clock jumps whose magnitudes are larger than 0.9 ns. The RT-IPPP technique with GRE PPP AR (G) mode allows for the detection of any clock jumps larger than 0.6 ns. For frequency monitoring, G PPP mode allows detection of frequency changes larger than 1.1 × 10⁻¹⁴. When the RT-IPPP technique is applied, monitoring with GRE PPP AR (G) mode can detect frequency changes larger than 6.1 × 10⁻¹⁵.     

Characterization of ionospheric amplitude scintillations using wavelet entropy detrended GNSS data

The extensive monitoring networks of Global Navigation Satellite System (GNSS) ionospheric scintillation have been established to continuously log observation data. Further, the amplitude scintillation index and the phase scintillation index, which are derived from scintillation observations, are anticipated to accommodate the accuracy requirement of both the user level and the monitoring station level. However, raw scintillation observations essentially measure superposed waveform impairments of GNSS signals propagating through ionosphere and troposphere. It implies that fluctuations of raw scintillation observations are caused by multiple factors from the entire radio propagation environment. Hence, it is crucial to characterize ionospheric scintillations from GNSS observation data. And the characterization is implemented through extracting fluctuations of raw observations merely induced by ionospheric scintillations. Designed to address this problem by means of Fourier filtering detrending, the present work investigates the influence of varying detrending cutoff frequencies on wavelet statistical energy and wavelet entropy distributions of scintillation data. It consequently derives criteria on the optimum detrending cutoff frequency for three types of raw amplitude scintillation data, which are classified by their wavelet energy distributions. Results of the present work verify that detrending with specific optimum cutoff frequencies rather than the fixed and universally applicable one renders the validity and credibility of characterizing ionospheric scintillations as the part of GNSS observation fluctuations purely induced by ionosphere electron density irregularities whose scale sizes are comparable with or smaller than the Fresnel scale.     

A user-friendly yield criterion for metals exhibiting tension-compression asymmetry

The aim of this paper is to model the yielding asymmetry of pressure-insensitive metals, including but not limited to Ni₃Al alloys. The main focuses are put on the flexibility and manipulative convenience. The parameters of theory are kept to a minimum and can be determined by as few tests as possible. These requirements are fulfilled by constructing a yield function using the second and third-invariants of a linearly transformed stress tensor. The proposed yield criterion has a simple mathematical form and has only seven parameters when used in three-dimensional stresses. Compared with existing theories, the new yield criterion has much fewer parameters, which makes it very convenient for practical applications. The coefficients of the criterion are identified by an error minimization procedure. Applications to a Ni₃Al based intermetallic alloy as well as a Cu-Al-Be shape memory alloy and comparison to other criteria show that the proposed criterion has nearly the same predictive ability and flexibility with other criteria. The proposed yield criterion can estimate the coefficients by using less data, which is a big advantage compared with other similar theories, especially when there is a limited number of experimental data.     

发动机故障诊断的变记忆约束滤波算法

为提高故障诊断可靠性,给出了3种利用多次测量信息减少测量误差影响的方法,即变记忆约束滤波算法、分段算术平均预平滑算法以及指数顶平滑算法。其中,变记忆约束滤波算法能够有效地避免由于故障方程多重共线性所引起的病态解。证明了多故障诊断问题中滤波算法与分段算术平均算法的等价性,证明了在衰减滤波的条件下（第一变记忆因子小于1）,随测量点数的增加,变记忆滤波算法的第一变记忆因子与指数平滑的平滑系数之和趋近于1。利用计算机仿真方法对于所得结论进行了检验。     

自适应光学技术补偿镜面温度及自重变形研究

论述了在星载高分辨率相机上采用自适应光学技术的必要性;介绍了应用自适应光学技术补偿镜面温度及自重变形的实验原理,进行了计算机模拟计算,并与实验结果进行比较。实验用一块平面反射镜作为缩比模型,应用６１单元自适应光学系统对其进行了闭环校正实验,分析了泽尼克多项式所对应的像差的校正效果。     

多支点轴防变形卡住可靠性分析

对多支点轴变形卡住进行了系统的分析,提出了克服附加变形所需功的计算方法,给出了该类轴防变形卡住可靠性的计算公式,并用算例阐明了基本概念和具体算法。