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PFI-RP: Design and additive manufacturing of heat exchangers

PFI-RP: Design and additive manufacturing of heat exchangers
PFI-RP:热交换器的设计和增材制造
批准号:
1941206
负责人:
Xiaoping Qian
金额:
$54.99万
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:
未结题
起止时间:
2020-06-01 至 2025-05-31

项目摘要

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中文摘要
翻译
这个创新研究伙伴关系(PFI-RP)项目的更广泛的影响/商业潜力是提高对流相关应用的能源效率,范围从汽车到航空航天、电力转换、制冷等。该项目将开发先进的计算技术,以提高热交换器的性能,推进能源行业的设计和制造技术。该项目还将促进对研究生的技术商业化培训,以及对STEM学科中代表性不足的学生的研究培训。该项目集成了热交换器的拓扑优化和增材制造。基于密度的共轭传热系统拓扑优化将在高性能计算环境下进行。将采用伴随法来获得灵敏度。我们将使用基于密度梯度的配方来解决悬垂角和支撑结构控制问题。所得到的热交换器将通过金属添加剂工艺制造。将进行热水力和耐久性试验来验证性能。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The broader impact/commercial potential of this Partnerships for Innovation – Research Partnerships (PFI-RP) project is to improve energy efficiency for convection-related applications, ranging from automotive to aerospace, power conversion, refrigeration, and others. The project will develop advanced computational techniques to improve the performance of heat exchangers, advancing design and manufacturing techniques in the energy industry. This project will also foster the training of technology commercialization for graduate students, and research training for under-represented students in STEM disciplines.The proposed project integrates topology optimization and additive manufacturing for heat exchangers. Density-based topology optimization of conjugate heat transfer systems will be conducted in a high-performance computing environment. An adjoint approach will be used to obtain the sensitivity. We will use density gradient-based formulations to address overhang angle and support structure control. The resulting heat exchangers will be manufactured via a metallic additive process. Thermal-hydraulic and durability tests will be conducted to validate performance.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)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/tqe.2023.3266410
发表时间: 2023-01
期刊: IEEE Transactions on Quantum Engineering
影响因子: --
作者: [Zisheng Ye;Xiaoping Qian;W. Pan]
通讯作者: Zisheng Ye;Xiaoping Qian;W. Pan
A Framework for Physics-Informed Deep Learning Over Freeform Domains
自由形式域上基于物理的深度学习框架
DOI: 10.1016/j.cad.2023.103520
发表时间: 2023
期刊: Computer-Aided Design
影响因子: 4.3
作者: [Mezzadri, Francesco, Gasick, Joshua, Qian, Xiaoping]
通讯作者: Qian, Xiaoping
DOI: 10.1002/nme.6863
发表时间: 2021-10
期刊: International Journal for Numerical Methods in Engineering
影响因子: 2.9
作者: [F. Mezzadri;Xiaoping Qian]
通讯作者: F. Mezzadri;Xiaoping Qian
DOI: 10.1002/nme.6839
发表时间: 2021-10
期刊: International Journal for Numerical Methods in Engineering
影响因子: 2.9
作者: [Joshua Gasick;Xiaoping Qian]
通讯作者: Joshua Gasick;Xiaoping Qian
On-the-Fly Dual Reduction for Optimal Design of Transient Responses in Thermal Energy Storage
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  • 财政年份:
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  • 财政年份:
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  • 负责人:
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