机译:改进的Zerilli-Armstrong,Arrhenius型和人工神经网络模型预测T24钢高温变形行为的比较研究
School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China Key Laboratory ofNonferrous Metal Materials Science and Engineering, Ministry of Education, Central South University, Changsha 410083, Hunan, China;
School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China;
School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China;
School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China;
School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China Technology Center, Hengyang Valin Steel Tube Co. Ltd., Hengyang 421001, Hunan, China;
T24 steel; hot compression deformation; constitutive equation; flow stress;
机译:改进的Johnson Cook,改进的Zerilli-Armstrong和Arrhenius型本构模型预测28CrMnMoV钢热变形行为的比较研究
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机译:Arrhenius型本构方程与人工神经网络模型预测12Cr3WV钢高温变形行为的比较研究
机译:高应变速率下4Cr5MoSiV1淬火钢的Zerilli-Armstrong模型和人工神经网络模型研究
机译:通过人工神经网络为时空救护车需求开发准确的预测模型:现有预测技术与人工神经网络的比较研究。
机译:改进的Arrhenius型模型和人工神经网络模型预测20MnNiMo合金高温流动行为的比较研究
机译:改进的Arhenius型和人工神经网络模型预测20mnnimo合金的高温流动性的比较研究