改进的多级涡轮噪声经验预测模型

基于早期的涡轮噪声经验预测模型和涡轮噪声试验数据,对影响涡轮噪声的关键涡轮参数进行了分析,发展了改进的多级涡轮噪声经验预测模型.该模型由单级涡轮噪声计算、涡轮噪声在下游涡轮级中传播的衰减量计算和各级涡轮噪声叠加3个部分组成.采用涡轮噪声试验数据对单级涡轮噪声计算方法进行了验证.结果表明:该单级涡轮噪声计算方法的计算结果误差小于1.5dB.由试验数据拟合得到的涡轮噪声叶片排衰减经验预测模型也被应用于该改进的多级涡轮噪声经验预测模型中.与早期经验预测模型相比,改进模型的计算方法更合理,噪声预测结果更可靠.      

利用经验正交函数分解的大气密度模式校准方法

热层大气密度产生的阻力是作用在低轨航天器上最大的非引力摄动,现有大气密度模式存在15%~20%的偏差,难以满足空间任务应用需要。采用NRLMSISE-00模式作为密度参考标准,通过修正Jacchia-Roberts经验大气模式温度参数校准密度,建立温度修正量与密度的参数方程。针对部分区域修正量迭代计算发散问题,采用改进高斯牛顿迭代法求解方程。选择经验正交函数（EOF）分解方法分析修正量的时空特征,并与传统球谐（SH）分析的结果进行比较。结果表明,前4阶EOF基函数与前9项球谐基函数分别可提取温度修正量超过85%与80%的变化特征,EOF分解方法对温度修正量的表示效率高于球谐分析方法。第1阶EOF基函数反映了温度参数的整体偏差,第2~4阶EOF基函数对应的时间系数表明温度修正量的变化具有天周期性,且球谐分析得到的时间系数同样具有天周期性的特点。利用前4阶EOF基函数和前9项球谐基函数重构的温度修正量校准Jacchia-Roberts模式,校准后的模式密度偏差分别下降了9.06%与5.37%,表明EOF分解方法与传统球谐分析方法相比,能够更有效地修正温度参数,改进模式精度。     

基于多层激励函数量子神经网络的入侵检测研究

为解决传统入侵检测模型所存在的检测效率低,对未知的入侵行为检测困难等问题,对神经网路隐层激励函数进行了研究,利用多层激励函数的量子神经网络模型进行入侵检测,该量子神经网络借鉴量子理论中量子态叠加的思想,使得隐层神经元能表示更多地状态或量级,从而很好的对入侵类型进行分类,增加隐层神经元的处理速度和检测性能法。实验表明,叠加的每个sigmoid函数较传统的sigmoid函数不仅对已知的入侵具有较好的识别能力,而且能较好的识别未知入侵行为,从而实现入侵检测的智能化。     

一种基于经验的燃气轮机参数折合方法

针对状态评估过程中如何对燃气轮机性能参数进行折合从而消除环境温度和环境压力的影响问题,提出一种基于经验的方法,利用对环境温度（或环境压力）回归直线的斜率、环境温度（或环境压力）均值和被折合参数均值确定折合指数,对某参数进行折合。实例分析表明:与常规折合法相比,经验折合法能更有效消除环境温度和环境压力的影响。性能参数的经验折合值与环境温度和环境压力的相关系数均接近0,更能反映燃气轮机本身的状态变化趋势,便于开展状态评估。      

基于可信度指标体系的VV&A过程模型研究

验证、校核和确认(VV&A)过程的规范化对提高建模与仿真全生命周期VV&A工作效率和准确性具有重要意义。从VV&A任务分配和VV&A信息反馈的角度,提出了一种基于可信度指标体系的VV&A过程模型。该过程模型是在DMSO VV&A RPG过程模型基础上,引入可信度指标体系以明确VV&A各阶段的具体任务和反馈机制。另外,引入VV&A"两个方向"和"两类反馈"概念解析了采用该过程模型的VV&A工作思路。最后,将该过程模型用于某飞行器弹道仿真系统的VV&A工作中,实践证明,该过程模型在VV&A工程应用中起到了很好的指导作用。     

Recent advances and trends in roll bonding process and bonding model: A review

This review presents a thorough survey of the roll bonding process with a focus on the bimetallic bars/tubes as well as the bonding models and criteria. The review aims to provide insight into cold, hot and cryogenic bonding mechanisms at the micro and atomic scale and act as a guide for researchers working on roll bonding, other joining processes and bonding simulation. Meanwhile, the shortcomings of roll bonding processes are presented from the aspect of formable shapes, while bonding models are shown from the aspect of calculation time, convergence, interface behavior of dissimilar materials as well as hot bonding status prediction. Two well-accepted numerical methodologies of bonding models, namely the contact algorithm and cohesive zone model (CZM) of bonding models and in simulations of the bonding process are highlighted. Particularly, recent advances and trends in the application of the combination of mechanical interlocking and metallurgical bonding, special energy fields, gradient structure, novel materials, green technology and soft computing method in the roll bonding process are also discussed. The challenges for advancing and prospects of the roll bonding process and bonding model are presented in an attempt to shed some light on the future research direction.     

Gaussian process regression model incorporated with tool wear mechanism

Cutting tool condition directly affects machining quality and efficiency. In order to avoid severely worn tools used during machining process and fully release the remaining useful life in the meanwhile, a reliable evaluation method of remaining useful life of cutting tools is quite necessary.Due to the variation of cutting conditions, it is a challenge to predict remaining useful life of cutting tools by a unified model. In order to address this issue, this paper proposes a method for predictin...     

环形旋流燃烧室模型点火过程的实验

在由16个旋流喷嘴组成的透明环形燃烧室实验模型中,对丙烷和空气贫燃混合气的周向点火和火焰传播过程进行了实验研究。通过高速相机记录点火过程的火焰形态和发光强度变化,对比分析了两种点火模式——先通燃气后点火(FFSL)和先点火后通燃气(SFFL)的不同形态特征。FFSL周向点火过程包含拱形火焰面传播,SFFL喷嘴间火焰传播呈现"锯齿形"结构。喷嘴旋流方向的排列会破坏周向火焰传播过程的对称性,使得沿顺时针和逆时针方向火焰面传播速度差别较大。通过对火焰发光强度积分得到热释放率变化曲线,分析统计了不同工况的周向点火时间,结果表明:在相同工况下,SFFL比FFSL大2倍以上;相同当量比下,FFSL和SFFL随着热负荷增加而减小;相同热负荷下,FFSL随当量比增加而减小,而SFFL正好相反。对两种点火模式,流动加速系数均随供气流量增加而增加。     

基于软件过程对象模型的度量定义方法

CQM(Goal-Question-Metric)模型是一种面向目标的定义度量的方法，在软件过程度量中被广泛采用，同时也渐渐显露出它的不足。通过对软件过程对象模型和GQM模型的分析，提出了一种结合软件过程对象模型和GQM模型的度量定义方法，使度量的定义更具体。     

贯彻落实安全法规是企业安全生产的保障

目的 解决好生产企业存在的安全隐患。方法 学习、贯彻、落实好安全法规，进一步提高认识、强化管理、落实责任。结果 在安全生产的基础上，谋生存、求发展。结论 安全生产是生产力发展的基础和必备条件。     

Trajectory prediction of ballistic missiles using Gaussian process error model

Ballistic Missile Trajectory Prediction(BMTP) is critical to air defense systems. Most Trajectory Prediction(TP) methods focus on the coast and reentry phases, in which the Ballistic Missile(BM) trajectories are modeled as ellipses or the state components are propagated by the dynamic integral equations on time scales. In contrast, the boost-phase TP is more challenging because there are many unknown forces acting on the BM in this phase. To tackle this difficult problem, a novel BMTP method by ...     

基于Volterra-Laguerre扩展模型的发动机加速过程辨识

提出了航空发动机的动态非线性Voherra-Laguerre扩展模型的辨识建模方法.应用Laguerre序列简化线性系统的原理,将Volterra级数模型拓展为Volterra-Laguerre扩展模型,该模型较传统Volterra级数模型减少了辨识量,提高了辨识速度.采用航空发动机地面试车数据辨识建立了其加速过程非线性Volt-erra-Laguerre扩展模型,通过递推最小二乘法辨识了模型参数.仿真结果表明,模型精度高,高低压转子相对转速误差均小于1%,涡轮后燃气温度误差小于3℃,满足发动机控制仿真的需要.     

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.     

某航空发动机机匣的动力学模型修正

利用动力学模型修正技术对某航空发动机机匣的有限元模型进行了修正.通过振动模态测试得到了实际机匣的模态数据用以作为有限元模型 修正的基准.利用频率对单元刚度的灵敏度分析选定了修正区域.在此基础上,应用1阶优化方法对机匣的有限元模型进行修正.研究结果表明:修正后机匣有限元模型的前10阶模态的计算值与实际测试的误差都在29%以内,可以应用在后续的发动机整机动力学分析等方面.      

A novel imprecise stochastic process model for time-variant or dynamic uncertainty quantification

This paper proposes a novel model named as “imprecise stochastic process model” to handle the dynamic uncertainty with insufficient sample information in real-world problems. In the imprecise stochastic process model, the imprecise probabilistic model rather than a precise probability distribution function is employed to characterize the uncertainty at each time point for a time-variant parameter, which provides an effective tool for problems with limited experimental samples. The linear correlation between variables at different time points for imprecise stochastic processes is described by defining the auto-correlation coefficient function and the cross-correlation coefficient function. For the convenience of analysis, this paper gives the definition of the P-box-based imprecise stochastic process and categorizes it into two classes: parameterized and non-parameterized P-box-based imprecise stochastic processes. Besides, a time-variant reliability analysis approach is developed based on the P-box-based imprecise stochastic process model, through which the interval of dynamic reliability for a structure under uncertain dynamic excitations or time-variant factors can be obtained. Finally, the effectiveness of the proposed method is verified by investigating three numerical examples.     

Application of dynamic recrystallization model in AZ12 magnesium alloy rolling process

To deeply understand the dynamic recrystallization behavior of as-cast AZ12 magnesium alloy in deformation process, the uniaxial hot compression experiments were implemented through systematic isothermal compression experiments. The true strain of thermal compression experiments was set to 50% with temperatures of 200, 250, 300, 350, 400 °C and the strain rates of 0.001, 0.01, 0.1, 1 s^?1. The Dynamic Recrystallization (DRX) kinetic model of AZ12 magnesium alloy was established and the accuracy of this model was verified. The model is used to predict the volume fraction of the sheet obtained by rolling through different rolling passes under the condition of consistent total reduction (50%). And the predicted results are in good agreement with the experimental results.     

烧结过程透气性指数的神经网络软测量模型的研究

烧结过程的透气性状态是烧结过程一个非常重要的状态参数,它决定了烧结过程顺利进行的程度,影响着烧结块的产量、质量。但对于这一重要的状态参数有时由于经济或技术上的原因,很难通过传感器对这些过程变量进行在线测量。提出一种软测量技术,它利用易测过程变量,依据这些易测过程变量与难以直接测量的待测过程变量之间的数学关系(软测量模型),通过各种数学计算和估计方法,从而实现对待测过程变量的测量。仿真试验证明,这种技术是行之有效的。     

低频压力振荡环境下运动液滴蒸发过程的准稳态模型

为了获得运动液滴蒸发过程对压力震荡的响应特性,从宏观上对压力振荡环境下的液滴蒸发过程进行了分析,压力振荡会引起液滴周围边界层内蒸汽质量分数的振荡,从而引起液滴蒸发速率的振荡。根据折算薄膜理论,提出了折算饱和蒸汽边界层的概念,基于已有的液滴蒸发准稳态模型,建立了压力振荡环境下运动液滴蒸发过程的准稳态模型,并进行数值求解,结果表明,液滴蒸发过程对低频压力震荡具有很强的响应能力,尤其对压力震荡幅值、频率比较敏感。     

利用模糊层次分析法来确定建筑火灾风险评价体系权值

基于系统安全工程理论,对影响建筑火灾风险的各个因素进行分析、总结,建立评价指标体系.利用模糊层次分析法,对各个因素进行单排序和总排序,得到其对最终目标的权重排序.模糊层次分析法能够更加客观地描述专家判断的模糊性,并且计算过程简单.基于模糊层次分析法的建筑火灾风险评价模型能够客观的反映出各个指标相对于建筑火灾风险的重要性,对于有重点地降低建筑火灾风险有着积极的作用,并且对建筑火灾风险评价提供必要的量化数据.     

一种双时间尺度函数Wiener过程性能退化模型

为通过性能退化数据评估产品的可靠性,基于广义Wiener过程提出了一种双时间尺度函数模型以描述产品退化过程。采用极大似然估计(MLE)法求解模型参数,推导了其寿命分布(FTD),进而进行可靠度分析和寿命评估。对模型进行了Monte Carlo模拟验证和实例应用,并将目前常用的混合效应Wiener过程模型作为参考方法进行了对比分析。结果表明:根据90%可靠度曲线的定义,该方法较参考方法的结果更为合理、准确。进一步的寿命评估结果表明,该方法与参考方法的平均寿命相差232.9h,90%可靠寿命结果相差109.4h,且参考方法计算结果偏于危险。