ALLOY COMPOSITION
    3.
    发明申请
    ALLOY COMPOSITION 审中-公开
    合金组成

    公开(公告)号:US20150329941A1

    公开(公告)日:2015-11-19

    申请号:US14688367

    申请日:2015-04-16

    CPC classification number: C22C19/056 C22C19/055 F23R3/002

    Abstract: An alloy composition consisting essentially of, by atomic percent, between 6.5 and 8% of elements selected from the group consisting of aluminium, titanium, tantalum and niobium, between 37 and 47% of elements selected from the group consisting of chromium, cobalt, iron, molybdenum and tungsten, and between 1.8 and 3.8% of elements selected from the group consisting of tungsten, molybdenum, niobium and tantalum, and, optionally, by weight percent, up to 0.04% carbon, up to 0.07% boron, and up to 0.1% zirconium, the balance being nickel and incidental impurities.

    Abstract translation: 基本上由原子百分比组成的合金组合物,选自由铝,钛,钽和铌组成的组中的6.5〜8%的元素,37〜47%的选自铬,钴,铁 ,钼和钨,以及1.8至3.8%的选自钨,钼,铌和钽的元素,以及任选的重量百分比,最多0.04%的碳,至多0.07%的硼,以及直到 0.1%锆,余量为镍和杂质。

    METHOD AND SYSTEM FOR DESIGNING A MATERIAL
    5.
    发明申请
    METHOD AND SYSTEM FOR DESIGNING A MATERIAL 审中-公开
    材料设计方法与系统

    公开(公告)号:US20140236548A1

    公开(公告)日:2014-08-21

    申请号:US14177578

    申请日:2014-02-11

    CPC classification number: G06F17/5009 G16C20/30 G16C20/50 G16C20/70 G16C99/00

    Abstract: A method of designing a material by optimising values for design variables includes the steps of: (i) providing one or more property models that produce a prediction for a value of a respective property of the material as a function of the design variables and produce a value for the uncertainty in the prediction, (ii) setting a specification target for a desired value for each property and a probability for that specification target to be met or exceeded, (iii) determining a probabilistic target for a value for each property, the probabilistic target being based on the specification target and the probability, and defining a merit index factor based on the degree to which a given prediction satisfies the probabilistic target, (iv) constructing an overall merit factor from the individual merit index factors of the properties, and (v) determining a set of optimal design variables that optimise the overall merit factor.

    Abstract translation: 通过优化设计变量的值来设计材料的方法包括以下步骤:(i)提供一个或多个属性模型,其产生作为设计变量的函数的材料的相应属性的值的预测,并产生 对于预测中的不确定性的值,(ii)为每个属性设置期望值的规范目标和达到或超过规范目标的概率,(iii)确定每个属性的值的概率目标, 基于规范目标和概率的概率目标,并且基于给定预测满足概率目标的程度来定义优点指数因子,(iv)根据属性的个体优值指数因子构建总体优势因子, 和(v)确定优化整体优点因子的一组最优设计变量。

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