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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
CDS
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

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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.
期刊论文(4)
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会议论文
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
Twinning in Hexagonal Close-Packed Materials: The Role of Phase Transformation
六方密堆积材料中的孪生:相变的作用
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
Spatial Explanation and Planning for Resilience of Community-Based Small Businesses to Environmental Shocks
  • 批准号:
    2316450
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.67万
  • 财政年份:
    2023
  • 负责人:
    Yan Wang
  • 依托单位:
Collaborative Research: III: Small: Efficient and Robust Multi-model Data Analytics for Edge Computing
  • 批准号:
    2311597
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2023
  • 负责人:
    Yan Wang
  • 依托单位:
Collaborative Research: Cross-plane Heat Conduction in 2D Materials under Large Compressive Strain
CAREER: Efficient Mobile Edge Oriented Deep Learning Framework
  • 批准号:
    2145389
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $54.33万
  • 财政年份:
    2022
  • 负责人:
    Yan Wang
  • 依托单位:
海外基金