预防GH36合金锻造粗晶的模锻工艺研究

通过试验研究,掌握了GH36合金锻造低倍粗晶的形成过程及形成机理,从而找到了既能预防GH36合金锻件低倍粗晶又能保证其高的综合性能的模锻工艺,并从理论上阐述了预防机理。     

Twinning stress in shape memory alloys: Theory and experiments

Utilizing first-principles atomistic simulations we present a twin nucleation model based on the Peierls–Nabarro formulation. We investigated twinning in several important shape memory alloys, starting with Ni₂FeGa (14M modulated monoclinic and L1₀ crystals) to illustrate the methodology, and predicted the twin stress in Ni₂MnGa, NiTi, Co₂NiGa, and Co₂NiAl martensites, all of which were in excellent agreement with the experimental results. Minimization of the total energy led to determination of the twinning stress accounting for the twinning energy landscape in the presence of interacting multiple twin dislocations and disregistry profiles at the dislocation core. The validity of the model was confirmed by determining the twinning stress from experiments on Ni₂FeGa (14M and L1₀), NiTi, and Ni₂MnGa and utilizing results from the literature for Co₂NiGa and Co₂NiAl martensites. This paper demonstrates that the predicted twinning stress can vary from 3.5 MPa in 10M Ni₂MnGa to 129 MPa for the B19′ NiTi case, consistent with the experimental results.     

双螺杆挤出过程中药料温度变化的影响因素

研究了在双螺杆挤出过程中,影响药料温度变化的有关因素,认为第一段机简 度是影响药温的显著因子,这些可以作为研究火药工艺温度的基础。     

超大长径比双螺杆挤出机制备聚丙烯腈初生纤维

采用自主研发的超大长径比(136)双螺杆挤出机实现了PAN初生纤维的纺丝制备,研究了PAN粉料质量分数(16％、20％、24％)、双螺杆挤出机机筒温度(50、60、70 ℃)、循环挤出次数(0、1、2)对PAN初生纤维力学性能及表面形貌的影响.结果表明,PAN初生纤维的拉伸强度随质量分数、机筒温度和循环挤出次数的增加而...     

双靶定向井在断块油气田开发调整中的效果分析

双靶定向井技术在开发复杂断块油气田中有其独特的作用,在油田开发中后期的增储上产中也是一种特别有效的手段。文中就近几年来双靶定向井技术在中原油田开发调整中的应用及其效果作了简要概述。中原油田几年来的实践证明：双鞍定向井钻遇油层厚度比直井多１／４,钻穿同一油层厚度比井多一倍,投产后的产油量比直井多１￣２倍,钻井成本比直井增加１０％￣２０％。中原油田目前双靶定向井的平均井深３０４９ｍ,最大井深３５００ｍ     

单双螺杆挤压组织化大豆蛋白的工艺研究

研究了单、双螺杆挤压机挤压过程中温度．水分等因素对大豆组织化蛋白产品的影响，并通过正交试验法、感官评定得出最佳工艺参数。     

Digital Twin-driven machining process for thin-walled part manufacturing

Thin-walled parts are widely used in the aerospace, shipbuilding, and automotive industry, but due to its unique structure and high accuracy requirements, which leads to an increase in scrapped parts, high cost in production, and a more extended period in the trial machining process. However, to adapt to fast production cycles and increase the efficiency of thin-walled parts machining, this paper presents a Digital Twin-driven thin-walled part manufacturing framework to allow the machine operator to manage the product changes, make the start-up phases faster and more accurate. The framework has three parts: preparation, machining, and measurement, driven by Digital Twin technologies in detail. By establishing and updating the workpiece Digital Twin under a different status, various manufacturing information and data can be integrated and available to machine operators and other Digital Twins. It can serve as a guideline for establishing the machine tool and workpiece Digital Twin and integrating them into the machining process. It provides the machine operator opportunities to interact with both the physical manufacturing process and its digital data in real-time. The digital representation of the physical process can support them to manage the trial machining from different aspects. In addition, a demonstrative case study is presented to explain the implementation of this framework in a real manufacturing environment.     

具有低相关值的新的修改的二元Jacobi序列

根据修改的二元Jacobi序列的构造方法,利用任意起点的二元Jacobi序列,构造了大量的新的二元序列。并利用kgendre特征函数的求和公式,给出了其中一类序列的自相关值及其它类序列在一定条件下的互相关值。结果表明,这类序列在一定条件下具有非常平坦的相关值分布。     

基于双支持向量回归机的增量学习算法

提出了一种基于双支持向量回归机的增量学习算法。将获取到的新样本加入训练数据集后,该算法无需在整个新的数据集上重新训练双支持向量回归机,而是充分利用增量前的计算信息,从而大大减少了模型更新中逆矩阵的计算量,提高了算法的执行效率。在人工数据集、时间序列预测和UCI数据集上的数值实验表明,该算法快速有效。