Inverse identification of constitutive parameters of Ti2AlNb intermetallic alloys based on cooperative particle swarm optimization

Ti₂AlNb intermetallic alloy is a relatively newly developed high-temperature-resistant structural material, which is expected to replace nickel-based super alloys for thermally and mechanically stressed components in aeronautic and automotive engines due to its excellent mechanical properties and high strength retention at elevated temperature. The aim of this work is to present a fast and reliable methodology of inverse identification of constitutive model parameters directly from cutting experiments. FE-machining simulations implemented with a modified Johnson-Cook (TANH) constitutive model are performed to establish the robust link between observables and constitutive parameters. A series of orthogonal cutting experiments with varied cutting parameters is carried out to allow an exact comparison to the 2D FE-simulations. A cooperative particle swarm optimization algorithm is developed and implemented into the Matlab programs to identify the enormous constitutive parameters. Results show that the simulation observables (i.e., cutting forces, chip morphologies, cutting temperature) implemented with the identified optimal material constants have high consistency with those obtained from experiments, which illustrates that the FE-machining models using the identified parameters obtained from the proposed methodology could be predicted in a close agreement to the experiments. Considering the wide range of the applied unknown parameters number, the proposed inverse methodology of identifying constitutive equations shows excellent prospect, and it can be used for other newly developed metal materials.     

基于改进粒子群优化模糊控制的MPPT算法研究

在光照强度和温度变化时,常规的最大功率点跟踪(MPPT)算法难以快速准确地跟踪光伏系统最大功率点。针对此问题,设计了一种改进粒子群优化算法(PSO)的模糊控制器。首先,依据常规MPPT特性,设计了一种带调整因子的模糊控制算法以快速收敛到最大功率点；然后,采用参数自适应PSO对设计的模糊控制器调整因子进行动态优化。仿真结果表明:所设计的参数自适应PSO优化模糊控制器能快速准确地跟踪最大功率点,保证了MPPT的动态响应速度和稳态精度,提高了光伏系统的工作效率。     

Fault self-repair strategy based on evolvable hardware and reparation balance technology

In the face of harsh natural environment applications such as earth-orbiting and deep space satellites, underwater sea vehicles, strong electromagnetic interference and temperature stress,the circuits faults appear easily. Circuit faults will inevitably lead to serious losses of availability or impeded mission success without self-repair over the mission duration. Traditional fault-repair methods based on redundant fault-tolerant technique are straightforward to implement, yet their area, power and weight cost can be excessive. Moreover they utilize all plug-in or component level circuits to realize redundant backup, such that their applicability is limited. Hence, a novel selfrepair technology based on evolvable hardware（EHW） and reparation balance technology（RBT） is proposed. Its cost is low, and fault self-repair of various circuits and devices can be realized through dynamic configuration. Making full use of the fault signals, correcting circuit can be found through EHW technique to realize the balance and compensation of the fault output-signals. In this paper, the self-repair model was analyzed which based on EHW and RBT technique, the specific self-repair strategy was studied, the corresponding self-repair circuit fault system was designed, and the typical faults were simulated and analyzed which combined with the actual electronic devices. Simulation results demonstrated that the proposed fault self-repair strategy was feasible. Compared to traditional techniques, fault self-repair based on EHW consumes fewer hardware resources, and the scope of fault self-repair was expanded significantly.     

单颗磨粒磨削仿真研究进展

概述了传统磨削仿真的基本方法及发展过程,总结了磨粒模型和工件模型的研究现状,具体分析了有限元法、光滑流体粒子动力学法、分子动力学法以及综合仿真方法等应用于单颗磨粒磨削材料的去除机理、成屑机理、工件表面质量以及磨粒磨损等仿真中的研究现状,最后阐述了各类仿真方法的局限性,并提出了单颗磨粒磨削仿真进一步的发展前景。     

基于PSO-ELM的军用飞机维修保障系统效能评估研究

维修保障系统效能评估是军用飞机精细化、规范化管理的一项重要措施,科学的维修保障系统效能评估是精细化保障的基础,是提升战斗力的保证。针对军用飞机的维修保障系统效能评估问题,在总结军用飞机维修保障系统效能评估体系的基础上,提出基于粒子群优化极限学习机算法(PSO-ELM)的维修保障系统效能评估模型;并通过实例进行验证。结果表明:该算法应用于军用飞机维修保障系统的效能评估是可行的,可为军用飞机维修保障效能评估提供借鉴。     

采用非均匀反弹特性壁面的粒子分离器研究

为了在不改变流道几何型面的基础上实现对较大粒径砂尘轨迹的有效组织,借助数值仿真技术,对一类典型无旋式惯性粒子分离器流道内两相流场展开了模拟研究。通过对典型工况下粒子分离器内砂尘轨迹的追踪和细致分析,首先获得了壁面反弹主导下的较大粒径砂尘的三类基本运动模式及其主要特征。而后以此为基础,充分利用2024铝合金、7020橡胶以及45钢3种典型壁面在反弹特性上的差异,同时结合原流道型面,完成了一种基于非均匀壁面的粒子分离器方案设计。计算表明:通过对鼓包迎风面等关键区域的壁面材质的特殊设计,可在不降低气动性能的前提下实现AC砂及C砂分离效率的显著提升,其增幅分别为6.0%和13.7%。      

微粒子喷丸技术研究进展

微粒子喷丸因其采用的弹丸介质尺寸小,具有强化基体表面并降低表面粗糙度的优点,已成为航空、能源动力等领域中一项重要的表面强化技术。目前对于该技术的研究仍处于对其强化机理的试验论证阶段,还未有完整的理论体系。对微粒子喷丸技术的原理和特点进行了综述,讨论了微粒子喷丸的强化机制,阐述了目前微粒子喷丸技术的研究现状及在各类材料中的应用,并指出了该技术的应用前景。研究各类参数对喷丸效果的影响将是微粒子喷丸发展的主要方向。     

航空发动机进气及叶栅通道内砂粒动力学特性分析

为提高发动机的吞砂、防砂能力,需要了解砂粒在发动机中运动规律及对发动机性能的影响。采用欧拉-拉格朗日法对E3发动机整流罩、风扇和增压级进行了砂粒与气流的耦合作用分析计算,加入颗粒碰撞模型和侵蚀模型。仿真分析结果表明:砂粒运动轨迹和侵蚀区域符合发动机使用规律。砂粒进入发动机与风扇叶片压力面发生碰撞,砂粒发生碰撞后大部分进入了外涵流道。砂粒碰撞位置主要集中在风扇叶片压力面处,风扇对颗粒运动轨迹的影响最显著,碰撞后的颗粒有明显的径向运动趋势,叶顶区域的颗粒富集程度较高。整流罩、风扇叶片压力面及外机匣壁面都发生较为严重的砂粒侵蚀现象,而增压级叶片砂粒侵蚀现象不明显。      

航天器表面环境散射返回流污染数值模拟和影响因素分析

针对航天器表面出气分子形成的环境散射返回流污染问题,利用试验粒子Monte Carlo方法对圆球和圆柱体简化航天器表面环境散射返回流进行数值模拟。其中,圆球出气表面的计算结果与已有的DSMC(Direct Simulation Monte Carlo)方法计算结果一致,验证了该方法的正确性。此外,对不同长径比的圆柱表面环境散射进行了计算和分析,结果表明:来流方向垂直于圆柱对称轴时,返回分子主要分布在圆柱体侧面的迎风部位;返回通量比随来流与出气分子质量之比的增加逐渐减小,随来流与出气表面温度之比、来流分子速度比和数密度的增加而增大;不同长径比条件下返回通量比相对于上述4个参数的变化具有相似性和递变性,短粗体的返回通量比最小,长细体的最大,正常圆柱体的则居中;返回通量比相对来流攻角的变化在不同长径比条件下不再具有相似性,而是取决于有效迎风面积。     

冲压发动机导弹爬升段和巡航段轨迹优化

为了研究冲压发动机导弹爬升段和高空巡航段的燃油最优弹道,提高射程,提出了较为通用的一体化优化设计方法。研究了冲压发动机、导弹气动力与弹道之间的耦合特性,建立了导弹动力学模型,将弹道的最优控制问题转化为参数优化问题。为求解该参数优化问题,针对传统粒子群(PSO)算法求解优化问题时存在的早熟收敛的不足,提出了一种算法结构,改善粒子群算法的性能,求其最优解。数值结果表明:改进的算法相对其他几种粒子群算法具备更优秀的性能。所优化弹道相比导弹试验数据,以飞行时间增加3.3%为代价,节约了4.46%燃油。多组高弹道的仿真结果表明,巡航高度应不超过动压边界前提下,高弹道巡航有利于节约燃油,增加导弹射程。