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Predicting the precipitation hardening response of particle strengthened alloys hardened by ordered precipitates

机译:预测通过有序沉淀物硬化颗粒加强合金的沉淀硬化响应

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摘要

A model/method was developed for predicting the precipitation hardening response of particle strengthened alloys hardened by ordered precipitates based on the microstructure, composition, and heat treatment, and utilizing a minimum number ofexperimental tests. The overall approach was based on the dislocation particle interaction mechanics, particle growth and coarsening, thermodynamics, and particle strengthening mechanisms applicable to precipitation hardened alloys. The model/methodevaluates, from a minimum number of experimental tensile tests, several of the microstructural constants necessary in determining the precipitation strengthening response of a particle strengthened alloy. The materials that were used as vehicles todemonstrate the model were precipitation hardenable aluminum-lithium-zirconium and nickel-aluminum alloys. Utilizing these demonstration alloys, the method used a minimum number of four tensile tests to predict the variation in strength with aging time,aging temperature, and composition, for the underaged, the peak-aged, and the overaged conditions. Predictions of the precipitation strengthening response were made using the Wagner particle distribution model and the predicted results using thisdistribution model compared well with the experimental yield strength results.
机译:开发了一种模型/方法,用于预测通过基于微观结构,组合物和热处理而通过有序沉淀物硬化的颗粒增强的合金的沉淀硬化响应,并利用最小数量的分发试验。整体方法是基于脱位颗粒相互作用机械,颗粒生长和粗化,热力学和颗粒强化机制,适用于沉淀硬化合金。从最小数量的实验拉伸试验中,模型/方法,在确定颗粒增强合金的沉淀强化响应时所需的几种微结构常数。用作车辆贩运模型的材料是沉淀可硬化铝 - 锂 - 锆和镍 - 铝合金。利用这些演示合金,该方法使用了最小数量的四个拉伸试验,以预测不断变化的时间,老化温度和组合物的强度变化,用于未成产,峰值老化和过度的条件。使用瓦格纳颗粒分布模型和使用该分布模型的预测结果进行了预测的预测,使用该分布模型进行了比较的实验屈服强度结果。

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