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Flow stress prediction using hyperbolic-sine Arrhenius constants optimised by simple generalised reduced gradient refinement

机译:使用简单广义减少梯度改进优化的双曲线arrhenius常数的流量应力预测

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The generalised reduced gradient refinement was applied to optimise the constitutive constants obtained from hyperbolic-sine Arrhenius equation when describing the flow stress of two titanium alloys subjected to hot compression testing. The results showed that correlation coefficients improved from 0.96 and 0.98 to 0.99, while the average absolute relative error and the root mean square error reduced by more than 30%. The simple generalised reduced gradient refinement can be used to improve the prediction of flow stress when hyperbolic-sine Arrhenius equation or other phenomenological and physical models are used for describing hot working behaviour of metals and alloys.
机译:当描述经受热压缩测试的两个钛合金的流量应力时,应用广泛的减少的梯度细化来优化从双曲线 - 正弦arhenius方程获得的组成常数。结果表明,相关系数从0.96和0.98增加到0.99,而平均绝对相对误差和根均方误差减少超过30%。简单的广义减少梯度细化可用于改善双曲线arrenius方程或其他现象学和物理模型来描述金属和合金的热工作行为时的流量应力的预测。

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