非流形几何造型及其布尔运算研究

简述了非流形造型的基本原理及其采用的基本操作,以及非流形几何造型布尔运算,侧重在其基本理论,包括:推广的Euler公式,集合属籍分类函数,正则集与正则集合运算;最后介绍了非流形造型布尔运算的5个基本运算步骤,即求交,新面环的生成与剖分,拓扑元素分类,连面成壳与连壳成体,以及悬点、悬边、悬面的生成.实践证明算法是有效、正确的.     

设计特征模型中的装配特征识别

研究了由设计特征模型识别装配特征的算法 ,该算法采用凹凸特征模型为中间模型实现设计特征模型向装配模型的转化。识别算法用特征设计与特征识别相结合的方法有效地识别出设计特征指定面的所有凹凸特征 ,利用判别装配特征的充分必要条件得到所求的装配特征。该方法克服了传统算法的缺点 ,提高了装配特征识别的有效性和可靠性     

一个神经网络结合遗传算法的叶轮逆命题设计方法

本文的目的是利用神经网络实现离心压缩机叶轮的逆命题设计。为此,结合实例叶轮逆命题设计问题通过遗传算法的演化和训练建立了前馈神经网络。所建网络随之用于求解给定表面速度分布情况下的叶片型线。      

LOW RCS MODIFIED DESIGN OF EXTERNAL CARRIAGE AND ANALYSIS OF ITS SCATTERING CHARACTERISTIC

An external carriage and a wing on the con-ventional aircraft have a high radar cross sectionlevel in a wide range of angles of pitch becausethey form a corner reflector[1,2 ] .Foreign stealthaircraft hang weapons in the fuselage instead ofthe utility of external carriages,and use speciallaunching mechanism when releasing and launch-ing weapons. But it is the necessary work ofChina to make low RCSimprovement on existingaircraft and make them have some stealth effect.This paper introduces a w…     

燃气射流起始冲击波形成机理的实验研究

利用实验研究的方法对燃气射流起始冲击波的形成机理进行研究。目的在于研究其发生、发展的规律,为寻求降低其危害性的研究提供参考。实验中使用了激光Ｍｏｉｒｅ偏拍仪对起始冲击波场的形成初期进行了光学显示,同时还使用了压阻式压力传感器对起始冲击波超压进行了测量。通过对测量结果的分析,认识了燃气射流起始冲击波的物理本质且总结出其形成和发展的一般规律,它在近场的高峰值超压对火箭武器的承载设备具有破坏作用。     

飞控系统模糊控制器设计及稳定性分析

建立了飞控系统的Ｔａｋａｇｉ－Ｓｕｇｅｎｏ（Ｔ－Ｓ）模糊模型;给出了设计模糊状态反馈控制器,保证闭环系统全局渐近稳定、具有一定衰减率稳定的两个充分条件;提出了采用线性矩阵不等式（ＬＭＩ）方法,将该充分条件转化为对线性矩阵不等式族寻求ＬＭＩ可行解的凸优化问题,得到了稳定性分析和模糊状态反馈控制器设计的新方法。仿真结果表明,所提出的设计方法方便有效,控制器鲁棒性好。     

摩托车发动机机加柔性生产线工艺设计

技术改造实施成功与否,很大程度取决于该项目的工艺设计水平。本文从柔性生产线工艺设计依据、指导思想、主要设计内容,以及生产线总体技术水平和经验教训等方面,较详细地介绍了摩托车发动机机加柔性生产线工艺设计的全过程。     

陶瓷基复合材料在喷管上的应用

综述了国外Ｃ／ＳｉＣ陶瓷基复合材料在火箭发动机喷管上的应用现状,重点介绍了法国ＳＥＰ生产Ｃ／ＳｉＣ复合材料喷管扩张段的成型技术以及连接与机加、材料性能等。最后对Ｃ／ＳｉＣ复合材料在固体火箭发动机上的应用前景进行了展望。     

面向代理模型的机翼变形计算方法

按照机翼结构设计的原则,对内部结构还未确定的机翼提出了一种通用的变形计算方法。机翼的平面形状可看作由多个梯形组成,机翼弯曲变形为三次函数,扭转变形为一次函数。只要给定翼梢挠度与扭转角,即可计算机翼变形情况下的几何模型,使代理模型能够预测变形后机翼的气动载荷分布。文中给出了两个实际机翼的算例。算例结果表明,本文模型预测的变形与实际结构有限元分析给出的变形吻合较好。     

Towards intelligent design optimization: Progress and challenge of design optimization theories and technologies for plastic forming

Plastic forming is one of enabling and fundamental technologies in advanced manufacturing chains. Design optimization is a critical way to improve the performance of the forming system, exploit the advantages of high productivity, high product quality, low production cost and short time to market and develop precise, accurate, green, and intelligent (smart) plastic forming technology. However, plastic forming is quite complicated, relating to multi-physics field coupling, multi-factor influence, multi-defect constraint, and triple nonlinear, etc., and the design optimization for plastic forming involves multi-objective, multi-parameter, multi-constraint, nonlinear, high-dimensionality, non-continuity, time-varying, and uncertainty, etc. Therefore, how to achieve accurate and efficient design optimization of products, equipment, tools/dies, and processing as well as materials characterization has always been the research frontier and focus in the field of engineering and manufacturing. In recent years, with the rapid development of computing science, data science and internet of things (IoT), the theories and technologies of design optimization have attracted more and more attention, and developed rapidly in forming process. Accordingly, this paper first introduced the framework of design optimization for plastic forming. Then, focusing on the key problems of design optimization, such as numerical model and optimization algorithm, this paper summarized the research progress on the development and application of the theories and technologies about design optimization in forming process, including deterministic and uncertain optimization. Moreover, the applicability of various modeling methods and optimization algorithms was elaborated in solving the design optimization problems of plastic forming. Finally, considering the development trends of forming technology, this paper discusses some challenges of design optimization that may need to be solved and faced in forming process.