CAREER: Coordinated Application of Constitutive Models, Simulation and Experiment for Study of Metal Forming Processes
职业:本构模型、模拟和实验的协调应用,用于金属成形过程的研究
基本信息
- 批准号:9875154
- 负责人:
- 金额:$ 23.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:1999
- 资助国家:美国
- 起止时间:1999-09-01 至 2004-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Deformation properties of metals are typically established in a controlled laboratory environment. The resulting mathematical models are then applied to complex processes of the modern industrial facility -- with success often impaired by the disparity between theory and practice. This Career Award supports research into the coordination of experimental test regimes and detailed computer models for metal behavior. Augmenting experimental trials with computer simulation, detailed examination is made for processing pathways having complexity between a routine laboratory test and a plant production practice. The goal is to improve the predictive capability of computer models, then utilize the simulations to further development of novel, more efficient processes. This exercise of physically motivated models in a manner that bears insight to practical industrial processing quite naturally encourages application of classroom knowledge to real-world practice. Projects for incremental improvement - motivated through industrial liaison - are of ideal scope for the senior-level undergraduate design course. Here, the undergraduate gains gentle introduction to modern engineering practice. The multidisciplinary aspect of the research necessarily leads the graduate student toward interaction with researchers in both industry and government laboratories. Viewed as a whole, this research and educational program renders a path for professional development with both a foundation in basic science and application to industry.
金属的变形特性通常是在受控的实验室环境中建立的。 然后将所得的数学模型应用于现代工业设施的复杂流程,但理论与实践之间的差距往往会损害成功。 该职业奖支持对金属行为实验测试方案和详细计算机模型的协调研究。 通过计算机模拟增强实验试验,对常规实验室测试和工厂生产实践之间复杂的加工路径进行详细检查。目标是提高计算机模型的预测能力,然后利用模拟进一步开发新颖、更高效的流程。 这种以对实际工业加工具有洞察力的方式进行物理激励模型的练习很自然地鼓励将课堂知识应用于现实世界的实践。 通过工业联络推动的渐进式改进项目是高级本科设计课程的理想范围。在这里,本科生可以了解现代工程实践。 研究的多学科方面必然导致研究生与行业和政府实验室的研究人员进行互动。 从整体上看,该研究和教育计划为专业发展提供了一条既具有基础科学基础又具有工业应用的道路。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Armand Beaudoin其他文献
Armand Beaudoin的其他文献
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{{ truncateString('Armand Beaudoin', 18)}}的其他基金
Collaborative Research: EAGER-DynamicData: Probabilistic Analysis of Dynamic X-ray Diffraction Data: Toward Validated Computational Models for Polycrystalline Plasticity
合作研究:EAGER-DynamicData:动态 X 射线衍射数据的概率分析:建立经过验证的多晶塑性计算模型
- 批准号:
1462352 - 财政年份:2015
- 资助金额:
$ 23.5万 - 项目类别:
Standard Grant
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