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Texture evolution prediction of 2219 aluminum alloy sheet under hydro-bulging using cross-scale numerical modeling 被引量:1
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作者 yanbo pei Yonggang Hao +2 位作者 Jie Zhao Jiantong Yang Bugang Teng 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2023年第18期190-204,共15页
A simultaneous prediction of macroscopic deformation and microstructure evolution is critical for un-derstanding the deformation mechanism of components.In this work,the hydro-bulging process of 2219 aluminum alloy sh... A simultaneous prediction of macroscopic deformation and microstructure evolution is critical for un-derstanding the deformation mechanism of components.In this work,the hydro-bulging process of 2219 aluminum alloy sheet was investigated using cross-scale numerical modeling,in which the macroscopic finite element method(FEM)and crystal plasticity finite element method(CPFEM)were combined.The calculated texture evolution exhibits good agreement with the experimental results,and the stress er-ror between the two scales is generally small.The effects of different strain states on texture evolution and slip mode are further discussed.As the strain ratioηincreases,the volume fractions of the initial Rotated Copper texture component andγ-Fiber texture component decrease significantly,which tend to be stabilized at P texture component.The initial Rotated Cube texture component is inclined to rotate towards the Cube texture component,while the volume fraction of this orientation is relatively stable.The lower strain ratio can considerably enhance the activity of more equivalent slip systems,promoting a more uniform strain distribution over grains.The difficulty of grain deformation changes as the lat-tice rotates.The grain with easy-to-deform orientation can gradually rotate to a stable orientation during plastic deformation,which has a lower Schmid factor. 展开更多
关键词 Cross-scale modeling Crystal plasticity Texture evolution Aluminum alloy Hydro-bulging forming
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在相依删失下限定平均寿命的差异比较
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作者 裴艳波 厉金洪 《中国科学:数学》 CSCD 北大核心 2020年第3期405-422,共18页
在临床医学及流行病学等研究中,研究人员经常会关心患者经过某种治疗后的平均寿命.由于删失的存在,使得生存函数的尾部估计偏差较大,在实际问题中通常考虑限定平均寿命作为衡量处理功效的指标.本文针对非随机化分组的治疗功效差异问题,... 在临床医学及流行病学等研究中,研究人员经常会关心患者经过某种治疗后的平均寿命.由于删失的存在,使得生存函数的尾部估计偏差较大,在实际问题中通常考虑限定平均寿命作为衡量处理功效的指标.本文针对非随机化分组的治疗功效差异问题,考虑生存时间同时存在独立和相依两种删失情形下的限定平均寿命差异推断问题.本文利用两种模型分别解释两种类型的混杂因子,建立比例风险模型用以解释基准协变量,建立加性风险模型用以解释依时协变量,利用逆概率删失权方法给出模型参数的估计并讨论估计量的大样本性质.通过随机模拟给出估计方法在偏度和精度方面的表现.最后,将本文给出的方法用于肝硬化患者两种治疗方法的功效差异分析. 展开更多
关键词 限定平均寿命 效应差 逆概率加权 比例风险模型 加性风险模型
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