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
基本信息
- 批准号:RGPIN-2017-04739
- 负责人:
- 金额:$ 1.82万
- 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:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Canada's automotive industry is the strongest manufacturing subsector in the country, and is responsible for 12% of Gross Domestic Product (GDP) in the goods-producing sector. While manufacturing with traditional metals (i.e., steels) is a well-established field, the automotive industry is facing major challenges associated with the design and development of fuel-efficient vehicles for reducing greenhouse gas emissions (GHGs). Light metals, such as aluminum and magnesium alloys, are of considerable interest to automobile manufacturers, but their relatively low formability compared to carbon steels presents a significant challenge. While their limited formability prevents them from being used in certain structural parts, advanced alloying and elevated temperature forming processes enable them to be used for 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, towards the ultimate goal of producing aluminum and magnesium alloys with enhanced ductility, that can be used to increase the amount of light metals employed in a vehicle. The constitutive modelling aspects of the proposed research project will mainly focus on developing mechanism driven numerical models at elevated temperatures for Age Hardened Aluminum Alloys (AHAA) and Rare Earth Added Magnesium Alloys (RMg) as well as a micromechanics based formulation for fracture in AHAA. Computational intelligence and finite element analyses will be the main thrust of the proposed research in terms of advanced numerical modelling. Outcomes of the proposed research program will serve as a guide for both material scientists and engineers in the automotive industry by clearly demonstrate the microstructural and mechanical properties necessary in aluminum and magnesium alloys to achieve improved formability.
The outcome of this research will have a significant impact on the automotive industry, which will translate into substantial benefits for Canada, and specifically Ontario; the economies of which depend in large part on a strong automotive sector. Additionally, the impact of lightweight materials on increased fuel efficiency will benefit consumers and help reduce greenhouse gas emissions. The potential for innovation is high with new approaches to optimizing performance of lightweight materials in vehicle applications through alloying and advanced manufacturing (i.e., elevated temperatures and strain rates) processes.
加拿大的汽车行业是该国最强大的制造业部门,负责货物生产行业的国内生产总值(GDP)的12%。尽管使用传统金属(即钢)制造是一个良好的领域,但汽车行业面临着与减少温室气体排放(GHG)的设计和开发车辆的设计和开发有关的主要挑战。铝合金和镁合金等浅金属对汽车制造商引起了极大的兴趣,但是与碳钢相比,它们的外形性相对较低,这是一个重大挑战。尽管它们的有限的形成性阻止它们用于某些结构部件,但高级合金和升高的温度形成过程使它们可以用于外身体应用。拟议的研究将结合微力学,有限元方法,多尺度建模和超级计算领域的最新进步,以实现产生具有增强延展性的铝和镁合金的最终目标,这些目标可用于增加车辆中使用的光金属量。拟议的研究项目的组成型建模方面将主要集中于开发机制的驱动数值模型,该模型在年龄硬化的铝合金(AHAA)和稀土上添加了镁合金(RMG)以及基于微机械的AHAA裂纹配方。就高级数值建模而言,计算智能和有限元分析将是拟议研究的主要目的。拟议的研究计划的成果将为汽车行业的物质科学家和工程师提供指南,清楚地证明了铝和镁合金所需的微观结构和机械性能,以提高可提高性。
这项研究的结果将对汽车行业产生重大影响,这将转化为加拿大,尤其是安大略省的重大利益。其经济在很大程度上取决于强大的汽车行业。此外,轻质材料对提高燃油效率的影响将使消费者受益,并有助于减少温室气体排放。通过合金和先进的制造(即,温度升高和应变速率)过程优化车辆应用中轻质材料的性能,创新的潜力很高。
项目成果
期刊论文数量(0)
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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:
$ 1.82万 - 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:
$ 1.82万 - 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:
$ 1.82万 - 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:
$ 1.82万 - 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:
$ 1.82万 - 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:
$ 1.82万 - 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:2019
- 资助金额:
$ 1.82万 - 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:
$ 1.82万 - 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:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Virtual Characterization of the mechanical properties of aluminum alloys at elevated temperatures
铝合金高温机械性能的虚拟表征
- 批准号:
528296-2018 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Engage Grants Program
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