CDS&E: Nanoconfined Heating via Ultrahigh-repetition-rate Lasers for Enhanced Surface Processing
CDS&E: Nanoconfined Heating via Ultrahigh-repetition-rate Lasers for Enhanced Surface Processing
批准号:
1953300
负责人:
Yan Wang
金额:
$35.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-01 至 2024-12-31
中文摘要
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英文摘要
Pulsed laser processing is a manufacturing method that uses ultrafast laser pulses to precisely fabricate three-dimensional objects. Among the tunable parameters in pulsed laser processing, the laser repetition rate (the number of laser pulses per second) has only recently been recognized as essential for controlling the affected depth of laser ablation, sintering, and melting processes. This depth limit determines the resolution and efficiency of pulsed laser technologies for micro-/nano-electronics and aerospace and nuclear applications. This project aims to explore the minimum achievable depth when the laser repetition rate increases to the giga-/terahertz regime. A set of advanced computational tools will be developed and implemented to understand the laser and materials interactions under extreme conditions. Successful completion of this project will enable confined heating of ultrahigh-repetition-rate lasers to the nanoscale, thereby improving the precision and efficiency of ablation, melting, and sintering of nano-layers at material surfaces. The research team will also develop education programs on thermal transport and laser manufacturing at the extremes to impact and inspire broad audiences, from local K-12 students to students at the University of Nevada, Reno. Open-source code developed from the project will be deployed at nanoHUB.org and accessible to both academia and industry. The overarching goals of this project are to predict and control the depth of the heat-affected zone during ultrahigh-repetition-rate laser processing, to model the unique microstructure behaviors of laser-material interactions under extreme conditions, and to develop and apply advanced thermomechanical models to predict the material responses to laser processing. Specifically, the research team will develop, validate, and share advanced computational models for predicting thermal transport behaviors for a broad range of materials under pulsed laser heating at repetition rates up to the terahertz regime. Moreover, the PIs will develop thermomechanical models—synergizing the power of the phase field method, molecular dynamics, and Boltzmann transport equations—for predicting the poorly understood material behaviors and properties during and after ultrahigh-repetition-rate laser processing. The process-structure-property relations for ultrahigh-repetition-rate laser processing will be established through this project. Such knowledge will enable the development of ultra-precise, fast, and efficient laser manufacturing technologies via nano-confined heating. This project is jointly funded by the Thermal Transport Processes program and the Established Program to Stimulate Competitive Research (EPSCoR).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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DOI:
10.1016/j.scriptamat.2020.113694
发表时间:
2021-04
期刊:
Scripta Materialia
影响因子:
6
作者:
[Amir Hassan Zahiri;Jamie Ombogo;Lei Cao]
通讯作者:
Amir Hassan Zahiri;Jamie Ombogo;Lei Cao
DOI:
10.1016/j.actamat.2022.118377
发表时间:
2022-09
期刊:
Acta Materialia
影响因子:
9.4
作者:
[Amir Hassan Zahiri;Eduardo Vitral;Jamie Ombogo;M. Lotfpour;Lei Cao]
通讯作者:
Amir Hassan Zahiri;Eduardo Vitral;Jamie Ombogo;M. Lotfpour;Lei Cao
DOI:
10.3390/met13030525
发表时间:
2023
期刊:
Metals
影响因子:
2.9
作者:
[Zahiri, Amir Hassan, Ombogo, Jamie, Lotfpour, Mehrab, Cao, Lei]
通讯作者:
Cao, Lei
DOI:
10.1063/5.0035465
发表时间:
2021-01-07
期刊:
JOURNAL OF APPLIED PHYSICS
影响因子:
3.2
作者:
[Zahiri, Amir Hassan, Ombogo, Jamie, Cao, Lei]
通讯作者:
Cao, Lei
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SCC-PG: SmartCurb: Building Smart Urban Curb Environments
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RII Track-4: Low-temperature Laser Sintering and Melting of Semiconductors Through Selective Excitation of Soft Phonons
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RAPID: Dynamic Interactions between Human and Information in Complex Online Environments Responding to SARS-COV-2
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Collaborative Research: PPoSS: Planning: Hardware-accelerated Trustworthy Deep Neural Network
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资助金额:$6.0万
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SHF: Small: Collaborative Research: Software Hardware Architecture Co-design for Low-power Heterogeneous Edge Devices
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资助金额:$18.0万
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依托单位:
SHF: Small: Collaborative Research: Software Hardware Architecture Co-design for Low-power Heterogeneous Edge Devices
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Probabilistic Design of Systems of Cyber-Physical Systems
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资助金额:$37.5万
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依托单位:
NSF Student Travel Grant for 2016 ACM Annual International Conference on Mobile Computing and Networking (ACM MobiCom)
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CRII: NeTS: Ubiquitous Sensing based Location-aware Driving Safety System
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Structure, Composition and Ionic Conduction in Amorphous Lithium Solid Electrolyte
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PFI:AIR - TT: Scale-up Dry-Powder based Additive Manufactured Electrodes to Lower the Cost of Li-ion Batteries
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EAGER: Cybermanufacturing: Predictive Analytics Models and Techniques for Intelligent Cybermanufacturing
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Collaborative Research: Battery Electrode Fabrication through Innovative Powder based Additive Manufacturing
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资助金额:$15.0万
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