Research on Advanced Metal Additive Manufacturing
先进金属增材制造研究
基本信息
- 批准号:RGPIN-2021-03882
- 负责人:
- 金额:$ 4.01万
- 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:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The proposed research deals with developing a strong scientific basis for advanced applications of metal additive manufacturing, aimed at dealing with the increased demand for higher flexibility and efficiency of aerospace and automotive components in industrial manufacturing. The main research topics will include: 1. Multiple Material Additive Manufacturing (MMAM) This research will support the development of next-generation technologies and products aimed at significantly improving Additive Manufacturing (AM) by either optimizing the mechanical properties of the parts, enhancing the performance of AM parts, or providing additional functionality. Multiple material additive manufacturing (MMAM) represents a whole new paradigm and range of opportunities for design, functionality, and cost-effective high value products. MMAM can produce the part and its property variations in a single manufacturing operation instead of multiple steps. 2. Applications of Machine Learning for Defect Detection in L-PBF This research is aimed at significantly improving the performance, quality, and repeatability of metal additive manufacturing processes using artificial intelligence methods. One barrier that restrains metallic AM parts from reaching their true potential is the inconsistency in the quality of parts produced. In this research, in-situ monitoring system which will take the form of images, temperature readings, and acoustic signals will be used. 3. Additive Manufacturing of Graded Microstructures Titanium aluminides are a family of intermetallic compounds used for aircraft engines. As opposed to Ni-based superalloys, titanium aluminides provide significant advantages such as high strength, high stiffness, good creep, corrosion and oxidation resistance. These properties combined with low density can significantly reduce the structural weight of components. However, the key challenges in using titanium aluminides include low ductility and fracture toughness. This research will address this shortcoming by developing the concept of producing components with graded microstructures of titanium aluminides, which offer a unique opportunity to vary material properties within different sections of the component to satisfy specific functions.
拟议的研究涉及为金属添加剂制造的高级应用建立强大的科学基础,旨在应对工业制造中对航空航天和汽车组件的提高灵活性和效率的提高。主要研究主题将包括:1。多种材料添加剂制造(MMAM),本研究将支持下一代技术和产品的开发,旨在通过优化零件的机械性能,增强AM零件的性能或提供其他功能,从而显着改善增材制造(AM)。多种材料添加剂制造(MMAM)代表了一个全新的范式和设计,功能和具有成本效益的高价值产品的机会。 MMAM可以在单个制造操作中而不是多个步骤中产生零件及其属性变化。 2。机器学习在L-PBF中缺陷检测的应用,这项研究旨在通过人工智能方法显着提高金属添加剂制造过程的性能,质量和可重复性。一个限制金属零件无法发挥其真正潜力的障碍是生产零件质量的不一致。在这项研究中,将使用图像,温度读数和声学信号的形式的原位监测系统。 3。分级微结构钛铝的添加剂制造是用于飞机发动机的金属间化合物家族。与基于NI的超合金相反,钛铝材具有高强度,高刚度,良好的蠕变,腐蚀和氧化耐药性。这些特性与低密度结合可以显着减少组件的结构重量。但是,使用钛合金的主要挑战包括低延展性和断裂韧性。这项研究将通过开发具有钛氧化钛的分级微观结构的概念来解决这一缺点,钛氧化钛提供了一个独特的机会,可以在组件的不同部分中改变物质特性以满足特定功能。
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)
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Elbestawi, Mohamed其他文献
Characterization of Composite Powder Feedstock from Powder Bed Fusion Additive Manufacturing Perspective
- DOI:
10.3390/ma12223673 - 发表时间:
2019-11-02 - 期刊:
- 影响因子:3.4
- 作者:
Fereiduni, Eskandar;Ghasemi, Ali;Elbestawi, Mohamed - 通讯作者:
Elbestawi, Mohamed
Selective laser melting of hybrid ex-situ/in-situ reinforced titanium matrix composites: Laser/powder interaction, reinforcement formation mechanism, and non-equilibrium microstructural evolutions
- DOI:
10.1016/j.matdes.2019.108185 - 发表时间:
2019-12-15 - 期刊:
- 影响因子:8.4
- 作者:
Fereiduni, Eskandar;Ghasemi, Ali;Elbestawi, Mohamed - 通讯作者:
Elbestawi, Mohamed
Improvement of fatigue performance of laser powder bed fusion fabricated IN625 and IN718 superalloys via shot peening
- DOI:
10.1016/j.jmatprotec.2022.117571 - 发表时间:
2022-03-26 - 期刊:
- 影响因子:6.3
- 作者:
Balbaa, Mohamed;Ghasemi, Ali;Elbestawi, Mohamed - 通讯作者:
Elbestawi, Mohamed
Machining characteristics of additively manufactured titanium, cutting mechanics and chip morphology
- DOI:
10.1016/j.cirp.2023.04.056 - 发表时间:
2023-07-13 - 期刊:
- 影响因子:4.1
- 作者:
Kishawy, Hossam A.;Nguyen, Nam;Elbestawi, Mohamed - 通讯作者:
Elbestawi, Mohamed
On the application of machine learning for defect detection in L-PBF additive manufacturing
- DOI:
10.1016/j.optlastec.2021.107338 - 发表时间:
2021-06-27 - 期刊:
- 影响因子:5
- 作者:
Mohammadi, Mohammad Ghayoomi;Mahmoud, Dalia;Elbestawi, Mohamed - 通讯作者:
Elbestawi, Mohamed
Elbestawi, Mohamed的其他文献
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{{ truncateString('Elbestawi, Mohamed', 18)}}的其他基金
Real Time Controller for Laser Powder Bed Fusion Additive Manufacturing
用于激光粉末床熔融增材制造的实时控制器
- 批准号:
567540-2021 - 财政年份:2021
- 资助金额:
$ 4.01万 - 项目类别:
Idea to Innovation
Laser Powder-Bed Fusion of Aluminum-Scandium (Al-Sc) Alloys
铝钪 (Al-Sc) 合金的激光粉床熔融
- 批准号:
561019-2020 - 财政年份:2021
- 资助金额:
$ 4.01万 - 项目类别:
Alliance Grants
Research on Advanced Metal Additive Manufacturing
先进金属增材制造研究
- 批准号:
RGPIN-2021-03882 - 财政年份:2021
- 资助金额:
$ 4.01万 - 项目类别:
Discovery Grants Program - Individual
Additive manufacturing of Customized Metallic implants
定制金属植入物的增材制造
- 批准号:
530765-2018 - 财政年份:2021
- 资助金额:
$ 4.01万 - 项目类别:
Collaborative Research and Development Grants
Laser Powder-Bed Fusion of Aluminum-Scandium (Al-Sc) Alloys
铝钪 (Al-Sc) 合金的激光粉床熔融
- 批准号:
561019-2020 - 财政年份:2020
- 资助金额:
$ 4.01万 - 项目类别:
Alliance Grants
Additive manufacturing of Customized Metallic implants
定制金属植入物的增材制造
- 批准号:
530765-2018 - 财政年份:2020
- 资助金额:
$ 4.01万 - 项目类别:
Collaborative Research and Development Grants
Manufacturing Processes for Advanced Materials
先进材料的制造工艺
- 批准号:
RGPIN-2016-06268 - 财政年份:2020
- 资助金额:
$ 4.01万 - 项目类别:
Discovery Grants Program - Individual
Rapid Prototyping of Medical Mechanical Ventilator for COVID-19
COVID-19 医用机械呼吸机的快速原型设计
- 批准号:
550064-2020 - 财政年份:2020
- 资助金额:
$ 4.01万 - 项目类别:
Alliance Grants
Additive manufacturing of Customized Metallic implants
定制金属植入物的增材制造
- 批准号:
530765-2018 - 财政年份:2019
- 资助金额:
$ 4.01万 - 项目类别:
Collaborative Research and Development Grants
Manufacturing Processes for Advanced Materials
先进材料的制造工艺
- 批准号:
RGPIN-2016-06268 - 财政年份:2019
- 资助金额:
$ 4.01万 - 项目类别:
Discovery Grants Program - Individual
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