GOALI: Multi-Scale Characterization and Modeling of Anisotropy and Failure of Aluminum Alloys for Automotive Applications
GOALI:汽车应用铝合金各向异性和失效的多尺度表征和建模
基本信息
- 批准号:1663269
- 负责人:
- 金额:$ 49.72万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-15 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Increasing the fuel efficiency of automobiles is a major driver for the automotive industry's recent efforts towards lightweight manufacturing. To achieve this goal, industry has identified the use of aluminum alloys in vehicle design and manufacture as an essential technology. Aluminum, with a density of 34 percent that of steel, is plentiful and recyclable, but has one-third the stiffness of steel, is more expensive to produce, has more complex material behavior, is less ductile with limited design experience within the automobile industry. To understand these properties and overcome these challenges, robust computational models of deformation and failure are essential. This Grant Opportunities for Academic Liaison with Industry (GOALI) award is a cooperative project between Industry (General Motors) and University (University of Texas at Austin) which supports fundamental scientific research aimed at developing enabling simulation technology for aluminum alloys through experimentation, modeling and validation. This will be achieved through a strong interaction between the university and industry research teams, including graduate student training through summer residency in General Motors labs and exposure of undergraduate students, including those from underrepresented groups, to current industry challenges. These interactions will provide broad impact by ensuring that the research generates new scientific knowledge with long-term benefits to engineering problems aligned with industrial needs, and will train future leaders in academia and industry with the skills to lead scientific innovation with engineering applications.The experimental approach of the research plan includes conducting custom designed biaxial tests on tubes using two aluminum alloys to establish the evolution of plastic deformation up to failure under a range of triaxialities and Lode angles, while monitoring the deformation with three-dimensional digital image correlation. In-situ experiments on small-scale specimens under electron microscopes will be conducted, where the evolution of deformation under different stress states can be quantified up to failure. Small-scale testing will be performed using electron backscatter diffraction imaging in order to establish the evolution of texture. The modeling efforts include calibration of state of the art anisotropic yield functions and development of dependable failure criteria, and enhancement of the failure criteria using results from the small-scale experiments and establishment of the evolution of yield surfaces through crystal plasticity. The integrated approach involving well-calibrated continuum level plasticity and failure models, validated through their performance in simulating independent axial quasi-static and dynamic tube crushing experiments, is the major intellectual merit of the work. Transfer of the developed technology to industry can be immediate, as the crushing simulations developed and enhanced through this research are one of the most demanding tasks in automobile safety assurance.
提高汽车燃油效率是汽车行业最近努力实现轻量化制造的主要推动力。为了实现这一目标,业界已将铝合金在车辆设计和制造中的使用确定为一项重要技术。铝的密度为钢的 34%,储量丰富且可回收,但其刚度是钢的三分之一,生产成本更高,材料性能更复杂,延展性较差,且汽车行业的设计经验有限。为了了解这些特性并克服这些挑战,强大的变形和失效计算模型至关重要。与工业界学术联络的资助机会 (GOALI) 奖是工业界(通用汽车)和大学(德克萨斯大学奥斯汀分校)之间的一个合作项目,该项目支持基础科学研究,旨在通过实验、建模和分析来开发铝合金仿真技术。验证。这将通过大学和行业研究团队之间的强有力的互动来实现,包括通过通用汽车实验室的暑期实习进行研究生培训,以及让本科生(包括来自弱势群体的学生)接触当前的行业挑战。这些相互作用将确保研究产生新的科学知识,对符合工业需求的工程问题产生长期效益,从而产生广泛的影响,并将培训未来学术界和工业界的领导者,使他们具备通过工程应用引领科学创新的技能。该研究计划的方法包括使用两种铝合金对管进行定制设计的双轴测试,以确定在一系列三轴度和洛德角下塑性变形直至失效的演变,同时通过三维数字图像相关性监测变形。将在电子显微镜下对小尺寸样品进行原位实验,可以量化不同应力状态下的变形演化直至失效。将使用电子背散射衍射成像进行小规模测试,以确定纹理的演变。建模工作包括校准最先进的各向异性屈服函数和开发可靠的失效准则,以及使用小规模实验的结果增强失效准则以及通过晶体塑性建立屈服面的演化。涉及经过良好校准的连续体水平塑性和失效模型的集成方法,通过模拟独立轴向准静态和动态管破碎实验的性能进行了验证,是这项工作的主要智力优点。所开发的技术可以立即转移到工业界,因为通过这项研究开发和增强的破碎模拟是汽车安全保障中最艰巨的任务之一。
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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Stelios Kyriakides其他文献
Stelios Kyriakides的其他文献
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{{ truncateString('Stelios Kyriakides', 18)}}的其他基金
Instabilities in Shape Memory Alloys and Structures
形状记忆合金和结构的不稳定性
- 批准号:
1762389 - 财政年份:2018
- 资助金额:
$ 49.72万 - 项目类别:
Continuing Grant
Effect of Inhomogeneous Deformation on the Response of Shape Memory Alloy Structures
不均匀变形对形状记忆合金结构响应的影响
- 批准号:
1200465 - 财政年份:2012
- 资助金额:
$ 49.72万 - 项目类别:
Standard Grant
Symposium on Liquid and Solid Foams; Austin, Texas; May 8-13, 2011
液体和固体泡沫研讨会;
- 批准号:
1067930 - 财政年份:2011
- 资助金额:
$ 49.72万 - 项目类别:
Standard Grant
Mechanical Behavior and Quasi-Static and Dynamic Crushing of Cellular Materials
多孔材料的机械行为以及准静态和动态破碎
- 批准号:
1029575 - 财政年份:2010
- 资助金额:
$ 49.72万 - 项目类别:
Standard Grant
Mechanical Behavior and Crushing of Cellular Materials
多孔材料的机械行为和破碎
- 批准号:
0856155 - 财政年份:2009
- 资助金额:
$ 49.72万 - 项目类别:
Standard Grant
On the Crushing Response of Cellular Materials
多孔材料的破碎反应
- 批准号:
0527906 - 财政年份:2005
- 资助金额:
$ 49.72万 - 项目类别:
Standard Grant
Compressive Response and Crushing of Cellular Solids
多孔固体的压缩响应和破碎
- 批准号:
0245485 - 财政年份:2003
- 资助金额:
$ 49.72万 - 项目类别:
Standard Grant
Hydroforming of Aluminum Tubes for Automotive Applications
汽车应用铝管液压成形
- 批准号:
0140599 - 财政年份:2002
- 资助金额:
$ 49.72万 - 项目类别:
Standard Grant
Participant Support for IUTAM Symposium Material Instabilities and the Effect of Microstructures
IUTAM 研讨会材料不稳定性和微观结构影响的参与者支持
- 批准号:
9909298 - 财政年份:2000
- 资助金额:
$ 49.72万 - 项目类别:
Standard Grant
Stretch Forming of Aluminum Extruded Tubes for Automotive Applications
汽车应用铝挤压管的拉伸成型
- 批准号:
9734947 - 财政年份:1998
- 资助金额:
$ 49.72万 - 项目类别:
Standard Grant
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GOALI: Multi-scale Optimization for the Design, Capacity Planning and Operation of Power Intensive Process Networks under Uncertain Electricity Prices and Market Demands
GOALI:电价和市场需求不确定下电力密集型过程网络的设计、容量规划和运营的多尺度优化
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Collaborative Research: GOALI: AIS gene library based real-time resource allocation on time-sensitive large-scale multi-rate systems
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Collaborative Research: GOALI: AIS gene library based real-time resource allocation on time-sensitive large-scale multi-rate systems
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