Measurement of inter-scale molecular fluxes in supercritical reacting turbulence
超临界反应湍流中尺度间分子通量的测量
基本信息
- 批准号:1923254
- 负责人:
- 金额:$ 31.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Understanding how fluctuations at a specific length scale in a turbulent flow affect the phenomena at other length scales is critical to accurately predict flow properties by numerical simulation. In turbulent combustion, which is the predominant mode of converting chemical energy to thermal energy for transportation and power generation applications, additional challenges arise in comparison to non-reacting turbulent flows because the fluctuating chemical reaction rates occur at very small length scales that typically are not resolved by simulations. This problem is exacerbated by the desire to operate combustion systems at increasingly high pressures, often spanning in to the supercritical pressure conditions. While increasing the pressure has important benefits for efficiency and power density, it also concentrates fluctuations at increasingly small scales and introduces strong variations in thermodynamic properties around the critical point. To better understand this phenomenon, this project will use a novel combination of laser diagnostic and data analysis techniques to measure how fluctuations in molecular nitrogen density move between length scales in premixed flames burning reactants at initially supercritical conditions. Time-resolved measurements of the spatially filtered nitrogen number density and velocity fields will be made in crossed planes using burst-mode spontaneous Raman scattering. The filtering effect of the observation process will be determined and tuned through image deconvolution. Hence, the resultant data will allow explicit determination of the flux of sub-filter fluctuations through the filter scale based on the dynamics of the filtered fields. This information will identify whether traditional modeling paradigms hold for supercritical reacting turbulence and, where necessary, enable the development of more physically accurate models. It also will provide a unique data set against which to benchmark simulations of supercritical turbulent combustion.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.
了解湍流中特定长度尺度的波动如何影响其他长度尺度的现象,对于通过数值模拟准确预测流动特性至关重要。在湍流燃烧中,这是用于运输和发电应用的将化学能转化为热能的主要模式,与非反应湍流相比,出现了额外的挑战,因为波动的化学反应速率发生在非常小的长度尺度上,这通常不能通过模拟来解决。该问题由于期望在越来越高的压力下操作燃烧系统而加剧,通常跨越到超临界压力条件。虽然增加压力对效率和功率密度有重要的好处,但它也会将波动集中在越来越小的尺度上,并在临界点附近引入热力学性质的强烈变化。为了更好地理解这一现象,该项目将使用激光诊断和数据分析技术的新组合来测量分子氮密度的波动如何在初始超临界条件下燃烧反应物的预混火焰中在长度尺度之间移动。 空间过滤的氮数密度和速度场的时间分辨测量将在交叉平面使用突发模式自发拉曼散射。观测过程的滤波效果将通过图像反卷积来确定和调整。因此,所得到的数据将允许基于滤波场的动态来明确确定通过滤波器尺度的子滤波器波动的通量。这些信息将确定传统的建模范式是否适用于超临界反应湍流,并在必要时,使物理上更准确的模型的发展。该奖项反映了NSF的法定使命,并被认为值得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来支持。
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)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Adam Steinberg其他文献
Experimental investigation of mixing phenomena for ducted fuel injection
- DOI:
10.1016/j.proci.2024.105385 - 发表时间:
2024-01-01 - 期刊:
- 影响因子:
- 作者:
Conner Godbold;Ishan Gupta;Eric Kurtz;Charles J. Mueller;Caroline Genzale;Adam Steinberg - 通讯作者:
Adam Steinberg
WCN24-596 COMMUNICATION WORKSHOPS IN NEPHROLOGY THE AUSTRALIAN EXPERIENCE
- DOI:
10.1016/j.ekir.2024.02.441 - 发表时间:
2024-04-01 - 期刊:
- 影响因子:
- 作者:
Jenny Chen;Adam Steinberg;Amy Waters;Sarah Roxburgh;Kelly Li;Camilla Chan;Kirsten Hepburn;Laura Austin;Kathryn Ducharlet;Balaji Hiremagalur;Lee Anderson;Jim Edwards;Grace Walpole;Elizabeth Stallworthy - 通讯作者:
Elizabeth Stallworthy
Adam Steinberg的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似国自然基金
新体制多基地超视距地波雷达信息场NFE INTER4信息融合方法研究
- 批准号:60872101
- 批准年份:2008
- 资助金额:31.0 万元
- 项目类别:面上项目
相似海外基金
Ethnically Diverse iPSC-Cardiomyocyte Panel for Pharmacogenomics and Drug Safety Testing
用于药物基因组学和药物安全性测试的种族多样化 iPSC-心肌细胞小组
- 批准号:
10755624 - 财政年份:2023
- 资助金额:
$ 31.58万 - 项目类别:
Mechanistic modeling of the innate immune responses of the human lung to understand the inter-individual heterogeneity of COVID-19 pneumonia
人肺先天免疫反应的机制模型,以了解 COVID-19 肺炎的个体间异质性
- 批准号:
10728396 - 财政年份:2023
- 资助金额:
$ 31.58万 - 项目类别:
SCALE - Social Cognition in Autism across LEvels
SCALE - 自闭症各个级别的社会认知
- 批准号:
489887 - 财政年份:2023
- 资助金额:
$ 31.58万 - 项目类别:
Operating Grants
Using Mouse Pain Scales to Discover Unusual Pain Sensitivity and New Pain Targets
使用小鼠疼痛量表发现异常的疼痛敏感性和新的疼痛目标
- 批准号:
10842053 - 财政年份:2023
- 资助金额:
$ 31.58万 - 项目类别:
Understanding the Microcircuits in Monkey Sensory Cortices: a Connectomic Approach
了解猴子感觉皮层的微电路:连接组学方法
- 批准号:
10546501 - 财政年份:2022
- 资助金额:
$ 31.58万 - 项目类别:
Examining individual differences in large scale brain networks in individuals with OCD and their relations to heterogeneity of obsessive compulsive symptoms.
检查强迫症患者大规模大脑网络的个体差异及其与强迫症状异质性的关系。
- 批准号:
10624934 - 财政年份:2022
- 资助金额:
$ 31.58万 - 项目类别:
Understanding the microcircuits in monkey sensory cortices: a connectomic approach
了解猴子感觉皮层的微电路:连接组学方法
- 批准号:
10333990 - 财政年份:2022
- 资助金额:
$ 31.58万 - 项目类别:
Pharmacokinetic/Pharmacodynamic model in pregnant women with depression to guide sertraline dosing
抑郁症孕妇的药代动力学/药效学模型指导舍曲林给药
- 批准号:
10685934 - 财政年份:2022
- 资助金额:
$ 31.58万 - 项目类别:
Point-of-care pharmacogenomic testing to optimize isoniazid dosing for tuberculosis prevention
床旁药物基因组学测试可优化预防结核病的异烟肼剂量
- 批准号:
10709589 - 财政年份:2022
- 资助金额:
$ 31.58万 - 项目类别:
Mapping Trajectories of Alzheimer's Progression via Personalized Brain Anchor-nodes
通过个性化大脑锚节点绘制阿尔茨海默病的进展轨迹
- 批准号:
10571842 - 财政年份:2022
- 资助金额:
$ 31.58万 - 项目类别: