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Application of a self-consistent model to study the flow behavior of CuZn39Pb3 at elevated temperatures

机译:应用自洽模型研究CuZn39Pb3在高温下的流动行为

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摘要

Hot compression tests were carried out on the duplex α + β leaded brass CuZn39Pb3 in temperature range of 600-800 ℃ and at strain rates of 0.001-1 s~(-1). A self-consistent model was used to analyze the flow behavior of the constituents and the material. A linear viscoplastic model was used to relate the flow stress of β and α + β composite to strain rate and the corresponding viscosity parameters were calculated at various deformation conditions. Using the viscosity parameters of β and α + β and the volume fractions of the constituents, the viscosity parameter of α was calculated. The values of the viscosity-like parameters and strain rate sensitivity for β and α + β composite were calculated using the nonlinear powerlaw viscoplastic equation. The results showed that the flow stress of α calculated using the self-consistent model was considerably higher than that of β. The difference could be attributed to the lower Zn content in α. The flow stress of α + β composite was calculated using the law of mixture rule. The law of mixture modeling of α + β composite for the iso-strain condition resulted to the overestimation of flow stress. The difference between the experimental and predicted results was attribute to the strain partitioning between α and β.
机译:在600-800℃的温度范围内,以0.001-1 s〜(-1)的应变速率,对双相α+β铅黄铜CuZn39Pb3进行了热压缩试验。使用自洽模型分析成分和材料的流动行为。用线性粘塑性模型将β和α+β复合材料的流动应力与应变率联系起来,并在各种变形条件下计算出相应的粘度参数。使用β和α+β的粘度参数以及成分的体积分数,计算α的粘度参数。使用非线性幂律粘塑性方程计算β和α+β复合材料的类粘度参数值和应变率敏感性值。结果表明,使用自洽模型计算的α的流动应力明显高于β。差异可以归因于α中较低的Zn含量。利用混合法则计算出α+β复合材料的流变应力。等应变条件下,α+β复合材料的混合模型定律导致对流动应力的高估。实验结果和预测结果之间的差异归因于α和β之间的应变分配。

著录项

  • 来源
    《Journal of Materials Research》 |2015年第22期|3453-3460|共8页
  • 作者

    A. Momeni;

  • 作者单位

    Department of Materials Science and Engineering, Hamedan University of Technology, 6516913733 Hamedan, Iran;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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