Producing fully-lamellar microstructure for wrought beta-gamma TiAl alloys without single α-phase field

Fine-grained fully-lamellar (FL) microstructure is desired for TiAl components to serve as compressor/turbine blades and turbocharger turbine wheels. This study deals with the process and phase transformation to produce FL microstructure for Mo stabilized beta-gamma TiAl alloys without single α-phase field. Unlike the α + γ two-phased TiAl or beta-gamma TiAl with single α-phase field, the wrought multi-phase TiAl–4/6Nb–2Mo–B/Y alloys exhibit special annealing process to obtain FL microstructure. Short-term annealing at temperatures slightly above β-transus is recommended to produce the desired FL microstructure. The related mechanism is to guarantee the sufficient diffusion homogenization of β stabilizers during single β-phase annealing, and further avoid α decomposition by α → γ + β when cooling through α + β + γ phase field. The colony boundary β phase contributes to fine-grained nearly FL microstructure, by retarding the coarsening of the α phase grains.     

Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network

Effective tool wear monitoring (TWM) is essential for accurately assessing the degree of tool wear and for timely preventive maintenance. Existing data-driven monitoring methods mainly rely on complex feature engineering, which reduces the monitoring efficiency. This paper proposes a novel TWM model based on a parallel residual and stacked bidirectional long short-term memory (PRes–SBiLSTM) network. First, a parallel residual network (PResNet) is used to extract the multi-scale local features of sensor signals adaptively. Subsequently, a stacked bidirectional long short-term memory (SBiLSTM) network is used to obtain the time-series features related to the tool wear characteristics. Finally, the predicted tool wear value is outputted through a fully connected network. A smoothing correction method is applied to improve the prediction accuracy. The proposed model is experimentally verified to have a high prediction accuracy without sacrificing its generalization ability. A TWM system framework based on the PRes–SBiLSTM network is proposed, which has a certain reference value for TWM in actual industrial environments.     

焦炉加热过程模糊复合智能控制系统模型研究

采用"间歇加热控制"与加热煤气流量调节相结合的控制原理,利用模糊复合控制建立焦炉加热智能控制策略和模型.该控制策略采用前馈、反馈和模糊智能控制相结合,并应用结焦指数CI控制焦炉的炼焦过程.根据智能控制策略,设计了焦炉加热模糊智能控制的结构和模型.根据实际需要和人工经验,设计了焦炉加热的模糊控制器.仿真结果表明该系统能够稳定焦炉的炉温,具有很大的实用价值.     

含沙稠油过滤孔尺寸优化研究

为设计一种能最大限度地滤除沙砾而不影响抽油效率的过滤器,研究含沙稠油最佳滤孔半径。基于油膜凹度测定实验,确定油液团破裂角,依据实验数据建立稠油过滤器数学模型,通过模型计算,找出在一定压力和黏度下稠油可穿越的最小滤孔半径。     

三相流管道输送技术研究

通过模型试验的方法研究了管道输送加气减阻的机理,分析了影响减阻效果的因素,进行了延长排距的计算,利用模型试验研究的结果进行了实船试验。研究表明,在绞吸式挖泥船的排泥管中加入适当压力和一定体积分数的气体,可以降低管道输送阻力和延长排距。     

Hydraulic Self Servo Swing Cylinder Structure Optimization and Dynamic Characteristics Analysis Based on Genetic Algorithm

The dynamic characteristics of hydraulic self servo swing cylinder were analyzed according to the hydraulic system natural frequency formula. Based on that, a method of the hydraulic self servo swing cylinder structure optimization based on genetic algorithm was proposed in this paper. By analyzing the four parameters that affect the dynamic characteristics, we had to optimize the structure to obtain as larger the Dm(displacement) as possible under the condition with the purpose of improving the dynamic characteristics of hydraulic self servo swing cylinder. So three state equations were established in this paper. The paper analyzed the effect of the four parameters in hydraulic self servo swing cylinder natural frequency equation and used the genetic algorithm to obtain the optimal solution of structure parameters. The model was simulated by substituting the parameters and initial value to the simulink model. Simulation results show that: using self servo hydraulic swing cylinder natural frequency equation to study its dynamic response characteristics is very effective. Compared with no optimization, the overall system dynamic response speed is significantly improved.     

特征线坐标系下柱对称超音速流膨胀波计算方法研究

在静压圆盘止推气体轴承柱对称超音速流膨胀波系的计算中,借鉴Liepmann的特征线坐标系与自然坐标系变换理论和Liepmann引入两个黎曼不变量的方法,使得边界条件的处理更为直观和简便。采用特征线坐标系下的特征线法,推导计算该膨胀波系所用到的基本计算公式,将其应用于 P-M 流动并与 P-M 流动理论解进行比较。结果表明,数值计算结果与P-M流动理论解吻合,该计算方法可行。     

工业生产中软测量建模方法及其应用研究

软测量技术是基于推断控制理论的一门新兴工业技术.本文在介绍软测量技术的基本原理及其构成要素的基础上,详细介绍了工业生产中用于过程控制的常用的一些建模方法及其优缺点,同时也指出了其在工业生产控制中的实际应用.最后对其发展和应用状况进行了展望.     

基于虚拟仪器的压缩机性能测试系统的研究与实现

依据GB/T3853-1998《容积式压缩机验收试验》的国家标准,采用NI公司的LabVIEW虚拟仪器技术,对空气压缩机性能试验进行了自动测试研究;针对该测试系统中喷嘴系数选择具有强非线性,通过插值算法实现了喷嘴系数的自动选择.主要介绍了自动测试系统的构成及试验流程的计算方法,实际应用表明,该测控系统具有快速、开放性好...     

动态车间作业调度问题中调度规则算法研究综述

调度规则是解决实际生产中的动态车间作业调度问题的有效方法,但它一般只在特定调度环境下性能较好,当环境发生变化时,就需要进行实时选择和评价。对调度规则的实时选择和评价方法进行综述,以研究实际生产中动态车间的实时调度问题。对调度规则的发展、分类以及特点进行了概述,并对调度规则的选择和评价方法进行了总结。详细介绍了调度规则的选择方法,包括使用较多的稳态仿真方法和表现较好的人工智能方法,并给出了仿真方法、专家系统、机器学习方法以及人工神经网络方法,用于调度规则的选择时所取得的研究成果和结论。此外,还介绍了调度规则的评价指标及评价方法。最后针对调度规则存在的不足,指出了未来的研究方向。