Multi-scale modelling of non-uniform deformation and formability in aluminum and magnesium alloys
铝镁合金非均匀变形和成形性的多尺度建模
基本信息
- 批准号:341874-2012
- 负责人:
- 金额:$ 2.26万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2014
- 资助国家:加拿大
- 起止时间:2014-01-01 至 2015-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Vehicle efficiency (in terms of fuel consumption) and reduction of carbon dioxide emissions continues to be a major challenge for the automotive industry. Light metals such as aluminum and magnesium alloys are of considerable interest to automobile manufacturers because of their low densities. The major drawback of using light metals is their relatively low formability compared to carbon steels. While their limited formability prevents them from being used in certain structural parts, advanced alloying and manufacturing processes enable them to be used in outer body applications. The proposed research will combine the latest advancements in the fields of micromechanics, finite element methods, multi-scale modelling and super computing, for the ultimate goal of enhanced ductility in aluminum and magnesium alloys to increase the amount of light metals employed in a vehicle. This research will serve as a guide for both material scientists and engineers in the automotive industry since the outcome of the research will clearly demonstrate the microstructural and mechanical properties necessary in aluminum and magnesium alloys to achieve improved formability.
车辆效率(在燃料消耗方面)和减少二氧化碳排放仍然是汽车工业面临的主要挑战。轻金属如铝和镁合金因其低密度而引起汽车制造商的极大兴趣。使用轻金属的主要缺点是与碳钢相比,它们的成形性相对较低。虽然它们有限的成形性使它们无法用于某些结构部件,但先进的合金化和制造工艺使它们能够用于车身外部应用。该研究将结合微观力学、有限元方法、多尺度建模和超级计算等领域的最新进展,最终目标是提高铝镁合金的延展性,从而增加汽车中轻金属的用量。这项研究将为汽车行业的材料科学家和工程师提供指导,因为研究结果将清楚地展示铝和镁合金的微观结构和机械性能,以实现改进的成形性。
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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Inal, Kaan其他文献
A machine learning framework to predict local strain distribution and the evolution of plastic anisotropy & fracture in additively manufactured alloys
- DOI:
10.1016/j.ijplas.2020.102867 - 发表时间:
2021-01-01 - 期刊:
- 影响因子:9.8
- 作者:
Muhammad, Waqas;Brahme, Abhijit P.;Inal, Kaan - 通讯作者:
Inal, Kaan
Application of artificial neural networks in micromechanics for polycrystalline metals
- DOI:
10.1016/j.ijplas.2019.05.001 - 发表时间:
2019-09-01 - 期刊:
- 影响因子:9.8
- 作者:
Ali, Usman;Muhammad, Waqas;Inal, Kaan - 通讯作者:
Inal, Kaan
Development of high crush efficient, extrudable aluminium front rails for vehicle lightweighting
- DOI:
10.1016/j.ijimpeng.2016.04.004 - 发表时间:
2016-09-01 - 期刊:
- 影响因子:5.1
- 作者:
Kohar, Christopher P.;Zhumagulov, Amir;Inal, Kaan - 通讯作者:
Inal, Kaan
A computational mechanics engineering framework for predicting the axial crush response of Aluminum extrusions
- DOI:
10.1016/j.tws.2019.02.007 - 发表时间:
2019-07-01 - 期刊:
- 影响因子:6.4
- 作者:
Kohar, Christopher P.;Brahme, Abhijit;Inal, Kaan - 通讯作者:
Inal, Kaan
A new crystal plasticity constitutive model for simulating precipitation-hardenable aluminum alloys
- DOI:
10.1016/j.ijplas.2020.102759 - 发表时间:
2020-09-01 - 期刊:
- 影响因子:9.8
- 作者:
Li, Y. Larry;Kohar, Christopher P.;Inal, Kaan - 通讯作者:
Inal, Kaan
Inal, Kaan的其他文献
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{{ truncateString('Inal, Kaan', 18)}}的其他基金
Numerical Modeling of Localized Deformation in Age Hardened Aluminum Alloys and Rare Earth Added Magnesium Alloys at Room and Elevated Temperatures
室温和高温时效硬化铝合金和添加稀土的镁合金局部变形的数值模拟
- 批准号:
RGPIN-2017-04739 - 财政年份:2021
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
An artificial intelligence based approach to account for the effects of microstructure gradients and residual stresses on fatigue performance of additively manufactured aluminum
一种基于人工智能的方法,用于解释微观结构梯度和残余应力对增材制造铝疲劳性能的影响
- 批准号:
566664-2021 - 财政年份:2021
- 资助金额:
$ 2.26万 - 项目类别:
Alliance Grants
Micromechanics based Modelling of Formability and Fracture in Dual Phase and Quenched and Partitioned Steels
基于微观力学的双相钢、淬火钢和分割钢的成形性和断裂建模
- 批准号:
558388-2020 - 财政年份:2021
- 资助金额:
$ 2.26万 - 项目类别:
Alliance Grants
Artificial intelligence (AI) based deep learning of defects, surface roughness and their linkage to mechanical performance of additively manufactured (AM) aluminum alloys
基于人工智能 (AI) 的缺陷、表面粗糙度及其与增材制造 (AM) 铝合金机械性能的联系的深度学习
- 批准号:
549214-2019 - 财政年份:2020
- 资助金额:
$ 2.26万 - 项目类别:
Alliance Grants
Micromechanics based Modelling of Formability and Fracture in Dual Phase and Quenched and Partitioned Steels
基于微观力学的双相钢、淬火钢和分割钢的成形性和断裂建模
- 批准号:
558388-2020 - 财政年份:2020
- 资助金额:
$ 2.26万 - 项目类别:
Alliance Grants
NSERC/General Motors of Canada Industrial Research Chair in Integrated Computational Mechanics for Mass Efficient Automotive Structures
NSERC/加拿大通用汽车大规模高效汽车结构集成计算力学工业研究主席
- 批准号:
503184-2016 - 财政年份:2020
- 资助金额:
$ 2.26万 - 项目类别:
Industrial Research Chairs
Numerical Modeling of Localized Deformation in Age Hardened Aluminum Alloys and Rare Earth Added Magnesium Alloys at Room and Elevated Temperatures
室温和高温时效硬化铝合金和添加稀土的镁合金局部变形的数值模拟
- 批准号:
RGPIN-2017-04739 - 财政年份:2020
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Numerical Modeling of Localized Deformation in Age Hardened Aluminum Alloys and Rare Earth Added Magnesium Alloys at Room and Elevated Temperatures
室温和高温时效硬化铝合金和添加稀土的镁合金局部变形的数值模拟
- 批准号:
RGPIN-2017-04739 - 财政年份:2019
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
NSERC/General Motors of Canada Industrial Research Chair in Integrated Computational Mechanics for Mass Efficient Automotive Structures
NSERC/加拿大通用汽车大规模高效汽车结构集成计算力学工业研究主席
- 批准号:
503185-2016 - 财政年份:2019
- 资助金额:
$ 2.26万 - 项目类别:
Industrial Research Chairs
Numerical Modeling of Localized Deformation in Age Hardened Aluminum Alloys and Rare Earth Added Magnesium Alloys at Room and Elevated Temperatures
室温和高温时效硬化铝合金和添加稀土的镁合金局部变形的数值模拟
- 批准号:
RGPIN-2017-04739 - 财政年份:2018
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
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