GOALI: Scalable Single-Step Manufacturing of High-Performance Titanium Sheet Metal Alloys by Shear-Based Deformation Processing
GOALI: Scalable Single-Step Manufacturing of High-Performance Titanium Sheet Metal Alloys by Shear-Based Deformation Processing
批准号:
2100568
负责人:
Kevin Trumble
金额:
$36.05万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-03-01 至 2025-02-28
中文摘要
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英文摘要
This Grant Opportunity for Academic Liaison with Industry (GOALI) award supports research leading to new knowledge related to the manufacturing of metals, that will advance the science base of manufacturing and provide competitive technological benefits for the national economy. The process is directed at the formation of specialty metal sheet and foil that is needed in applications within the aerospace, energy systems, ground transportation and biomedical sectors. Currently, the majority of metal sheet is produced by rolling processes which, despite having attractive benefits, also have important limitations pertaining to control of properties, cost, infrastructure and energy. The shear-based deformation processing approach utilizes variants of machining-based processes to create metal sheet and foil in a single step from bulk ingot, while employing a compact manufacturing systems infrastructure. The metal sheet will have superior mechanical properties, because of unique process capability to control deformation parameters. Furthermore, the machining-based processing offers important economic benefits compared to current sheet-production technology in terms of cost and energy usage. The process will be particularly suited for production of sheet from specialty alloys like titanium, magnesium and aluminum, which are of interest for high-performance and/or lightweighting applications in critical industry and defense sectors. This interdisciplinary research requires participation of manufacturing, materials engineering and systems science. The multi-disciplinary approach will also contribute to broadening the participation of underrepresented groups in research, and positively impact engineering education.To establish the capability of the machining-based processing for commercial sheet production, the university-industry team is addressing three closely related technical objectives using titanium alloys as a model material system. Firstly, process deformation fields will be analyzed using in situ high-speed imaging, complemented by force/energy analysis. Secondly, sheet metal properties will be characterized through quantitative microstructure and crystallographic texture analyses; and strength and formability measurements. New shear-based textures, combined with fine-grained microstructures, are of particular interest. Correlations will be established between deformation fields, microstructure and properties in the form of a process map. Thirdly, building on the process mapping, process scaling and systems analysis (quality, cost, energy, equipment design) will be used to produce sheet with enhanced mechanical properties and commercial quality. The envisaged outcome is new process capability for producing commercial titanium alloy sheet at less than 1/10 the cost of current state-of-the-art processing, with future extension to other advanced material systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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A study of formability of palm leaf materials using Limiting Dome Height testing
使用极限圆顶高度测试研究棕榈叶材料的成型性
DOI:
10.1557/s43579-021-00094-0
发表时间:
2021
期刊:
MRS Communications
影响因子:
1.9
作者:
[Mohanty, Debapriya Pinaki, Udupa, Anirudh, Anilchandra, A. R., Mann, James B., Chandrasekar, Srinivasan]
通讯作者:
Chandrasekar, Srinivasan
Improving formability of palm leaf materials for foodware manufacturing using sodium hydroxide treatment
使用氢氧化钠处理提高食品器具制造用棕榈叶材料的成型性
DOI:
10.1557/s43579-022-00300-7
发表时间:
2022
期刊:
MRS Communications
影响因子:
1.9
作者:
[Mohanty, Debapriya Pinaki, Mann, James B., Udupa, Anirudh, Anil Chandra, A. R., Chandrasekar, Srinivasan]
通讯作者:
Chandrasekar, Srinivasan
DOI:
10.1557/s43577-022-00469-1
发表时间:
2023-01-16
期刊:
MRS BULLETIN
影响因子:
5
作者:
[Aghababaei, Ramin, Brodsky, Emily E., Chandrasekar, Srinivasan]
通讯作者:
Chandrasekar, Srinivasan
Decoupling the effects of texture and composition on magnetic properties of Fe-Si sheet processed by shear deformation
解耦织构和成分对剪切变形加工铁硅片磁性能的影响
DOI:
10.1016/j.jmmm.2022.170349
发表时间:
2023
期刊:
Journal of Magnetism and Magnetic Materials
影响因子:
2.7
作者:
[Kustas, Andrew B., Mann, James B., Trumble, Kevin P., Chandrasekar, Srinivasan]
通讯作者:
Chandrasekar, Srinivasan
DOI:
10.1016/j.ijmachtools.2022.103932
发表时间:
2022
期刊:
International Journal of Machine Tools and Manufacture
影响因子:
14
作者:
[Issahaq, Mohammed Naziru, Udupa, Anirudh, Saei, Mojib, Mohanty, Debapriya Pinaki, Mann, James B., Sundaram, Narayan K., Trumble, Kevin P., Chandrasekar, Srinivasan]
通讯作者:
Chandrasekar, Srinivasan
共 10 条
Towards a Fundamental Basis for Controlling Shear Flow Instabilities in HCP Metals
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批准号:1610094
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项目类别:Standard Grant
-
资助金额:$45.0万
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财政年份:2016
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负责人:Kevin Trumble
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依托单位:
GOALI: Shear Texture and Microstructure Control in Sheet Metal for Enhanced Deformation Processing and Properties
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批准号:1363524
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项目类别:Standard Grant
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资助金额:$37.93万
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财政年份:2014
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负责人:Kevin Trumble
-
依托单位:
GOALI: Direct High-Efficiency Production of Sheet and Foil by Single-Stage Deformation Processes
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批准号:1100712
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项目类别:Standard Grant
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资助金额:$32.87万
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财政年份:2011
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负责人:Kevin Trumble
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依托单位:
AIR: Large-Scale Manufacturing of Metal Fibers by Modulation-Assisted Machining
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批准号:1127705
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项目类别:Standard Grant
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资助金额:$14.99万
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财政年份:2011
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负责人:Kevin Trumble
-
依托单位:
High-Strength Nanostructured Alloys via Novel Machining Processes
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批准号:0800481
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项目类别:Standard Grant
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资助金额:$33.3万
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财政年份:2008
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负责人:Kevin Trumble
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依托单位:
Advanced Processing of Bulk Nanostructured Alloys from Machining Chips
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批准号:0500216
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2005
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负责人:Kevin Trumble
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依托单位:
NSF Young Investigator
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批准号:9357496
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项目类别:Continuing Grant
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资助金额:$27.5万
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财政年份:1993
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负责人:Kevin Trumble
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依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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项目类别:合作创新研究团队
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批准年份:2024
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负责人:姚韬
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