三维编织复合材料及其RTM成型工艺

文章阐述了三维编织工艺,并将三维编织复合材料的性能与传统铺层复合材料的性能作了比较。同时,还介绍了其成型方法—RTM工艺的原理及特点,并提供了一种适于RTM工艺的树脂体系。     

一种基于混合规则的作业车间计划调度方法

针对多品种小批量生产车间计划调度存在的复杂度高、实用性差等问题,在分析车间计划调度相关的任务、资源和约束等要素的基础上,提出了一种基于混合规则的计划调度编制算法,该算法综合考虑了零件差异性、工艺差异性、设备差异性、以及交货期约束等因素,使得该方法具有可行性高、实用性强等特点,较好地满足了离散制造车间的实际需求.     

碳/环氧复合材料两次表面镜基板研制

文章介绍了碳/环氧复合材料两次表面镜基板的结构与铺层、选材与成型工艺,性能测试等内容。     

缓磨时工件烧伤过程的计算机仿真研究

在关于缓磨时的磨削热、接触弧区换热过程以及工件表层非稳态温度场的深入研究的基础上构造了一个可用于计算工件表层温度场畸变历程的数学模型，并据此完成了缓磨时工件烧伤过程的计算机仿真研究。仿真结果与缓磨时的实际烧伤过程吻合良好。本文率先阐明了缓磨烧伤的热机理，并证实了缓磨烧伤是一典型的渐变过程，它有明显的前兆特征，因而是可以被预报和控制的。此项创造性工作可以被看作是对磨削基础理论的一项重要贡献。     

A combined turbulent combustion model in studying a lean flameout process

A modification of the Zimont turbulent combustion model is presented; the modification makes it possible to describe processes in diffusion and homogeneous flame fronts as well as to take into account the influence of different factors that cause flame destabilization. The model is based on the equation for a reaction completeness extent (completeness of combustion). The model realization to simulate the premixed combustion is described and the modification of the turbulent combustion model is applied to simulate a process of flameout downstream of the flameholder.     

复合铣整体叶盘通道加工工艺规划分析

首先对开式整体叶盘通道几何特征进行分析,在宽度和深度上对通道加工空间进行计算,从轴向和径向进行切削加工性分析;通过偏置面求解及其延伸面求解,进而确定可加工区域;在对比分析各种铣削方法基础上,优选复合铣削数控刀具,明确通道复合铣加工方法以及流程,为后续开式整体叶盘通道加工工艺优化打下基础。     

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     

铝合金T型材拉弯成形的有限元模拟

针对目前拉弯成形中的问题,采用有限元模拟的方法,对带下陷拉弯过程进行计算机仿真,得到优化后的工艺参数,避免了盲目的试拉,提高了加工效率,降低了拉弯成本,积累了带下陷拉弯成形的经验,提高了公司拉弯工艺水平。     

天基激光移除空间碎片仿真平台研究与开发

为了从空间碎片和天基移除系统两方面分析激光驱动碎片变轨过程,优化移除任务规划和策略,基于真实的可观测空间碎片数据,设计并开发了一套天基激光移除空间碎片三维数值仿真平台。首先从总体设计出发,对三维数值仿真平台的需求分析、总体框架、模块功能进行了明确的描述。其次通过对激光驱动空间碎片变轨过程数学模型的分析,确定了各模块的具体实现方法。最后采用C++/Qt开发了三维数值仿真平台,通过仿真验证了设计平台的有效性。该仿真平台可用于不同天基平台和目标碎片的任务规划、碎片分布热点区域和航天器防护区域的方案设计及空间环境治理体系的优化设计。     

Modelling ignition probability with pairwise mixing-reaction model for flame particle tracking

Reduced order models for ignition analysis can offer insights into ignition processes and facilitate the combustor optimization. In this study, a Pairwise Mixing-Reaction (PMR) model is formulated to model the interaction between the flame particle and the surrounding cell mixture during Lagrangian flame particle tracking. Specifically, the model accounts for the two-way coupling of mass and energy between the flame particle and the surrounding shell layer by modelling the corresponding turbulent mixing, chemical reaction and evaporation process if present. The state of a flame particle, e.g., burnt, hot gas or extinguished, is determined based on particle temperature. This model can properly describe the ignition process with a spark kernel being initiated in a nonflammable region, which is of practical importance in certain turbine engines and has not been rigorously accounted for by the existing models based on the estimation of local Karlovitz number. The model is integrated into an ignition probability analysis platform and is demonstrated for a methane/air bluff-body flame with the flow and fuel/air mixing characteristics being extracted from a non-reacting simulation. The results show that for the spark location being at the extreme fuel-lean outer shear layer of the recirculation zone, PMR can yield ignition events with a significant number of active flame particles. The mechanisms for the survival of the initial flame particles and the entrainment of the survived flame particles into the recirculation zone are analyzed. The results also show that the ignition probability map from PMR agrees well with the experimental observation: a high ignition probability in the shear layer of the recirculation zone near the mean stoichiometric surface, and low ignition probabilities inside the recirculation zone and the top stagnation region of the recirculation zone. The parametric study shows that the predicted shape of the ignition progress factor and ignition probability is in general insensitive to the model parameters and the model is adequate for quantifying the regions with high ignition probabilities.