Predicting the Precipitation Hardening Response of Particle Strengthened Alloys Hardened by Ordered Precipitates

J. Fragomeni, B. Hillberry
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引用次数: 0

Abstract

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 of experimental 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/method evaluates, 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 to demonstrate 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 this distribution model compared well with the experimental yield strength results.
有序相淬硬颗粒强化合金的析出硬化响应预测
基于微观组织、成分和热处理,建立了一种预测有序析出相淬火颗粒强化合金析出硬化响应的模型/方法,并利用了最少数量的实验试验。总体方法是基于位错颗粒相互作用力学、颗粒生长和粗化、热力学以及适用于沉淀硬化合金的颗粒强化机制。该模型/方法根据最少数量的拉伸试验,评估确定颗粒强化合金的析出强化响应所需的几个微观结构常数。用于演示模型的材料是可沉淀硬化的铝锂锆合金和镍铝合金。利用这些示范合金,该方法使用最少次数的四次拉伸试验来预测时效时间、时效温度和成分在欠时效、峰值时效和过时效条件下的强度变化。采用Wagner颗粒分布模型对沉淀强化响应进行了预测,预测结果与试验屈服强度结果吻合较好。
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