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    • 52. 发明申请
    • MATERIALS PROPERTY PREDICTOR FOR CAST ALUMINUM ALLOYS
    • 材料铝合金材料性能预测
    • US20160034614A1
    • 2016-02-04
    • US14449324
    • 2014-08-01
    • GM Global Technology Operations LLC
    • Qigui WangBing LiYucong Wang
    • G06F17/50B22D21/00B22D46/00
    • G06F17/5009B22D21/007B22D46/00G06F17/5018G06F2217/16G06F2217/41
    • A device and article of manufacture to predict material properties of a cast aluminum-based component. In one form, a computer-based system includes numerous computation modules programmably cooperative with one another such that upon receipt of data that corresponds to the cast aluminum-based component, the modules provide performance indicia of the material. The modules include a thermodynamic calculation module, a thermal-physical property module, a mechanical property module and a materials selection or alloy design module. The combination of the modules along with known material and geometric databases—in addition to microstructural and defect databases—promotes the generation of materials properties needed for casting design, casting process simulation, CAE nodal property mapping and durability analysis.
    • 用于预测铸铝基部件的材料特性的装置和制品。 在一种形式中,基于计算机的系统包括可编程地彼此协作的许多计算模块,使得在接收到与铸铝基组件相对应的数据时,模块提供材料的性能标记。 模块包括热力学计算模块,热物理属性模块,机械性能模块和材料选择或合金设计模块。 模块与已知材料和几何数据库的组合以及显微结构和缺陷数据库 - 促进了铸造设计,铸造过程模拟,CAE节点属性映射和耐久性分析所需的材料属性的生成。
    • 53. 发明授权
    • Metallographic method for accurate measurement of pore sizes and distributions in metal castings
    • 用于准确测量金属铸件孔径和分布的金相法
    • US09135691B2
    • 2015-09-15
    • US13891235
    • 2013-05-10
    • GM Global Technology Operations LLC
    • James W. KnightQigui Wang
    • G06K9/00G06T7/00G06T7/40
    • G06T7/0004G06T7/41G06T2207/10061G06T2207/30116
    • A quantitative metallographic method to measure pore sizes and pore distributions in cast aluminum components. An image of a location of interest in a cast component sample is first obtained using an image analyzer. Spacing criteria, such as a measure of the secondary dendrite arm spacing, may be used with the received image to provide evidence of pore clustering. This allows the system to performing calculations to determine if multiple pores can be clustered or grouped together as a single pore in three-dimensional space. From this, the total area of the pores in each of these groups or clusters is calculated and used as a representation of the pore area for that cluster. In general, pore size and pore distribution measurements in cast components achieved by the present invention show accurate predictions of pore size and spacing, and in particular evidence a reduced tendency to under-predict the size and distribution of actual pores.
    • 用于测量铸铝组分中的孔径和孔分布的定量金相法。 首先使用图像分析仪获得投射成分样本中感兴趣的位置的图像。 间隔标准,例如二次枝晶臂间距的测量,可以与接收的图像一起使用以提供孔聚集的证据。 这允许系统执行计算以确定多孔是否可以聚集或组合在一起作为三维空间中的单个孔。 由此,计算每个这些组或簇中的孔的总面积,并将其用作该簇的孔面积的表示。 通常,通过本发明实现的铸造组分中的孔径和孔分布测量显示了孔径和间距的准确预测,并且特别地证明了预测实际孔的尺寸和分布的降低的倾向。