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    • 9. 发明授权
    • Method of optimizing heat treatment of alloys by predicting thermal growth
    • 通过预测热增长优化合金热处理方法
    • US06858103B2
    • 2005-02-22
    • US10151224
    • 2002-05-20
    • Christopher Mark WolvertonJohn Edmond Allison
    • Christopher Mark WolvertonJohn Edmond Allison
    • C22F1/00C22F1/043C22F1/057C21D11/00
    • C22F1/00C22F1/043C22F1/057
    • The present invention discloses a method for optimizing heat treatment of precipitation-hardened alloys having at least one precipitate phase by decreasing aging time and/or aging temperature using thermal growth predictions based on a quantitative model. The method includes predicting three values: a volume change in the precipitation-hardened alloy due to transformations in at least one precipitation phase, an equilibrium phase fraction of at least one precipitation phase, and a kinetic growth coefficient of at least one precipitation phase. Based on these three values and a thermal growth model, the method predicts thermal growth in a precipitation-hardened alloy. The thermal growth model is particularly suitable for Al—Si—Cu alloys used in aluminum alloy components. The present invention also discloses a method to predict heat treatment aging time and temperature necessary for dimensional stability without the need for inexact and costly trial and error measurements.
    • 本发明公开了一种通过使用基于定量模型的热生长预测来降低老化时间和/或老化温度来优化具有至少一个沉淀相的沉淀硬化合金的热处理的方法。 该方法包括预测三个值:由至少一个沉淀相中的转化引起的沉淀硬化合金的体积变化,至少一个沉淀相的平衡相分数和至少一个沉淀相的动力学生长系数。 基于这三个值和热增长模型,该方法预测了沉淀硬化合金中的热生长。 热增长模型特别适用于铝合金部件中使用的Al-Si-Cu合金。 本发明还公开了一种预测尺寸稳定性所需的热处理老化时间和温度的方法,而不需要不精确和昂贵的试验和误差测量。