Stifness modeling and analysis of a novel 4-DOF PKM for manufacturing large components

Faster response to orientation varying is one of the outstanding abilities of a parallel kinematic machine（PKM）.It enables such a system to act as a reconfgurable module employed to machine large components effciently.The stiffness formulation and analysis are the beforehand key tasks for its parameters design.A novel PKM with four degrees of freedom（DOFs）is proposed in this paper.The topology behind it is 2PUS-2PRS parallel mechanism.Its semianalytical stiffness model is frstly obtained,where the generalized Jacobian matrix of 2PUS-2PRS is formulated with the help of the screw theory and the stiffness coeffcients of complicated components are estimated by integrating fnite element analysis and numerical ftting.Under the help of the model,it is predicted that the property of system stiffness distributes within the given workspace,which features symmetry about a certain plane and is also verifed by performing fnite element analysis of the virtual prototype.Furthermore,key parameters affecting the system stiffness are identifed through sensitivity analysis.These provide insights for further optimization design of this PKM.     

A review of topology optimization for additive manufacturing: Status and challenges

Topology optimization was developed as an advanced structural design methodology to generate innovative lightweight and high-performance configurations that are difficult to obtain with conventional ideas. Additive manufacturing is an advanced manufacturing technique building as-designed structures via layer-by-layer joining material, providing an alternative pattern for complex components. The integration of topology optimization and additive manufacturing can make the most of their advantages and potentials, and has wide application prospects in modern manufacturing. This article reviews the main content and applications of the research on the integration of topology optimization and additive manufacturing in recent years, including multi-scale or hierarchical structural optimization design and topology optimization considering additive manufacturing constraints. Meanwhile, some challenges of structural design approaches for additive manufacturing are discussed, such as the performance characterization and scale effects of additively manufactured lattice structures, the anisotropy and fatigue performance of additively manufactured material, and additively manufactured functionally graded material issues, etc. It is shown that in the research of topology optimization for additive manufacturing, the integration of material, structure, process and performance is important to pursue high-performance, multi-functional and lightweight production. This article provides a reference for further related research and aerospace applications.     

复合材料制造过程仿真技术综述

复合材料制造过程仿真技术的有效应用可以在复合材料构件设计之初对其制造过程中可能出现的缺陷,如分层、孔隙、温度不均、变形等问题进行预测,从而为优化构件结构、调整工艺参数或模具型面提供依据。对目前复合材料设计制造领域常用的一些软件进行简要介绍,并针对目前复合材料制造过程温度场分布和固化变形仿真技术中存在的问题进行了阐述与讨论。     

Self-similar stochastic processes in solar wind turbulence

Solar wind data is used to estimate the autocorrelation function for the stochastic process x(τ) = y(t + τ) − y(t), considered as a function of τ, where y(t) is any one of the quantities B²(t), n_p(t)V²(t), or n_p(t). This process has stationary increments and a variance that increases like a power law τ^2γ where γ is the scaling exponent. For the kinetic energy density and the proton density the scaling exponent is close to the Kolmogorov value γ = 1/3, for the magnetic energy density it is slightly larger. In all three cases, it is shown that the autocorrelation function estimated from the data agrees with the theoretical autocorrelation function for a self-similar stochastic process with stationary increments and finite variance. This is far from proof, but it suggests that these stochastic processes may be self-similar for time scales in the small scale inertial range of the turbulence, that is, from approximately 10 to 10³ s.     

民用航空器研制中制造符合性声明的使用

制造符合性声明是申请人签署后,提交局方进行制造符合性检查的重要文件。在型号研制阶段,申请人签署制造符合性声明,向局方表明符合设计资料,局方进行检查并确定是否安全可用;在依据型号合格证进行生产阶段,申请人签署制造符合性声明,向局方表明符合设计资料并处于安全可用状态,局方进行检查得到确认后签发适航批准证书;在获得生产批准后,申请人无需提交制造符合性声明,即可获得局方签发的适航批准证书。通过对中国民用航空局、美国联邦航空局和欧洲航空安全局适航规章的要求进行比较,对制造符合性声明在不同阶段的作用进行研究和探讨。     

The role of radial perpendicular diffusion and latitude dependent acceleration along the solar wind termination shock

A numerical model, based on Parker’s transport equation, describing the modulation of anomalous cosmic rays and containing diffusive shock acceleration is applied. The role of radial perpendicular diffusion at the solar wind termination shock, and as the dominant diffusion coefficient in the outer heliosphere, is studied, in particular the role it plays in the effectiveness of the acceleration of anomalous protons and helium when its latitude dependence is changed. It is found that the latitudinal enhancement of radial perpendicular diffusion towards the heliospheric poles and along the termination shock has a prominent effect on the acceleration of these particles. It results in a ‘break’ in the energy spectrum for anomalous protons at ∼6.0 MeV, causing the spectral index to change from E^−1.38 to E^−2.23, but for anomalous helium at ∼3.0 MeV, changing the spectral index from E^−1.38 to E^−2.30. When approaching the simulated TS, the changes in the modulated spectra as they unfold to a ‘steady’ power law shape at energies below 50 MeV are much less prominent as a function of radial distances when radial perpendicular diffusion is increased with heliolatitude.     

网格计算在工业过程控制中的应用前景

网格计算是一种新兴的解决大规模复杂问题的应用技术,充分利用现有资源提供高性能的计算能力。现在的生产过程越来越向大规模复杂化方向发展,过程控制需要新的控制模型和控制方法来解决这些问题。但现有的计算能力无疑又限制了控制技术的应用,将高性能的网格计算运用到过程控制当中可以提高控制模型和控制算法的计算速度,也将大大提高其控制品质和应用范围。     

某型导弹翼轴花键齿首齿机加工精度研究

就如何保证新一代导弹重要零件翼轴花键齿首齿位置精度达到±１０’的机加工技术作了详细的阐述，着重就花键齿插齿过程中的工装定位、首齿位置精度的提高和测量方法进行了较为认真的研究。实践证明，该种插齿工艺方法能保证翼轴零件首齿位置精度的互换性，在具有类似的首齿位置精度要求的齿轮加工行业中有一定的先进性，并具有借鉴和推广价值。     

制造业的发展趋势

本文阐述了作者对于21世纪制造业发展趋势的观点，总结出未来制造业的几个特点，简要介绍了敏捷制造、全球制造和绿色制造等几种先进制造模式。     

基于结构随机跳变系统的反干扰信息处理方法

为了解决在复杂的干扰对抗环境中提高信息处理的准确性问题(例如,对具有多种干扰对抗手段的机动目标的跟踪问题),基于结构随机跳变系统理论提出了一种反干扰信息处理的新方法,该方法针对干扰环境的随机剧烈变化,适时地辨识干扰环境的当前状态,并作出相应的决策来优化和利用系统的资源(例如传感器的优化重组、信息融合算法的转换等),最大限度地降低干扰对信息处理精度的影响.以有效地提高信息优化处理的精确度.在本文中就该方法的性能与其它算法做了仿真比较,其仿真结果证实了该方法的有效性.