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确定的。由此产生的数学模型随后被应用于现代工业设施的复杂过程--成功往往受到理论和实践之间的差距的影响。该职业奖支持对金属行为的实验测试制度和详细的计算机模型进行协调的研究。利用计算机模拟来加强实验试验,对在常规实验室试验和工厂生产实践之间具有复杂性的工艺路径进行了详细的检查。其目标是提高计算机模型的预测能力,然后利用模拟来进一步开发新的、更有效的过程。以一种对实际工业过程有洞察力的方式进行物理激励模型的练习,自然会鼓励将课堂知识应用到现实世界的实践中。通过行业联系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,本科生获得了现代工程实践的温和介绍。研究的多学科方面必然会引导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,这一研究和教育计划为专业发展提供了一条既有基础科学基础又有工业应用的道路。
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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