Through Process Modelling from Casting to Mechanical Properties for Line Pipe Steels
Through Process Modelling from Casting to Mechanical Properties for Line Pipe Steels
批准号:
1793436
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
热轧带钢的最终性能在很大程度上取决于整个工艺过程,这是由于凝固过程中的偏析、再加热过程中的晶粒生长(取决于偏析)和轧制过程中的再结晶(取决于偏析和晶粒尺寸)等过程的复杂相互作用;对于单个流程,所有当前可用的子模型的真正价值只能在集成到贯穿流程模型之后进行评估。对于需要复杂的机械性能组合的现代(高强度)钢种,如韧性和成形性以及强度,基于平均数量(如平均晶粒尺寸)的模型不再足够。相反,需要三维微观结构演化和力学响应模型。其中一些三维模型是近年来发展起来的,但还没有结合成一个完整的过程模型。因此,一个复杂的集成模型所需的大部分构建块都是可用的。该项目将建立一个物理3D集成过程模型,将过程变量与最终产品微观结构联系起来,特别是热轧管线的晶粒尺寸分布和韧性性能。该项目与EPSRC的研究领域有关:材料工程-金属和合金
英文摘要
The final properties of hot rolled steel strip strongly depend on the full process history, due to complicated interactions of processes like segregation during solidification, grain growth during reheating (which depends on segregation) and recrystallization during rolling (which depends on segregation and grain size); the true worth of all currently available sub models for individual processes can only be assessed after integration into a through process model. For modern (high strength) steel grades requiring a complex mix of mechanical properties, like toughness and formability as well as strength, models based on average quantities (such as average grain size) are no longer sufficient. Instead 3D microstructure evolution and mechanical response models are required. Some of these 3D models have been developed in recent years but have not been combined into a through process model. Therefore most of the required building blocks of a sophisticated integrated model are available. This project will set up a physical 3D integrated through process model linking process variables to final product microstructure, specifically grain size distributions and hence toughness properties, in hot rolled line pipe grades. The project links to the EPSRC research area:Materials engineering - metals and alloys
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国内基金
海外基金
Neural Process模型的多样化高保真技术研究
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批准号:62306326
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项目类别:青年科学基金项目
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资助金额:30万元
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批准年份:2023
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负责人:王琦
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依托单位:
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批准年份:2023
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负责人:金仕纶
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依托单位:
多臂Bandit process中的Bayes非参数方法
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批准号:71771089
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项目类别:面上项目
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资助金额:48.0万元
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批准年份:2017
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负责人:吴贤毅
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依托单位: