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Small Grants for Exploratory Research: Gas Separations for Process Improvement by Inorganic Hollow Fiber Glass Membraneat Elevated Temperatures for Waste Reduction

Small Grants for Exploratory Research: Gas Separations for Process Improvement by Inorganic Hollow Fiber Glass Membraneat Elevated Temperatures for Waste Reduction
用于探索性研究的小额资助:通过提高无机中空玻璃纤维膜的温度以减少废物,从而改进气体分离工艺
批准号:
9115726
负责人:
Yi Ma
金额:
$3.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1991
资助国家:
美国
项目状态:
已结题
起止时间:
1991-07-01 至 1992-12-31

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中文摘要
翻译
该项目探讨了使用中空纤维的可行性 通过工艺减少废物的玻璃膜 改进. 一种应用是在20 ℃下分离H2S和H2。 更高的流温度(400 - 600 ° F),以提供更高的 浓缩的H2S -流作为副产物,并制备 过程更节能。 第二个应用是 在酸性水处理工艺中将NH3与H2S分离。 通过允许分离在更高的温度下进行, 温度,硫回收过程将是重要的 因为NH3的去除。 此外,恢复 通过新型膜分离获得高纯度NH3 该工艺将减少污染和工艺成本。 该项目涉及膜选择性的测量, 工艺参数评价。 该项目是SGER 美国国家科学基金会(NSF)新兴研究项目的资助 环境友好的制造业。 这个NSF项目是一个 化学研究理事会(NSF-CCR)的前身 合资公司
英文摘要
The project explores the feasibility of using hollow fiber glass membranes for waste reduction through process improvement. One application is separation of H2S and H2 at high stream temperatures (400 - 600>F), to provide a more concentrated H2S - stream as a byproduct and to make the process more energy efficient. A second application is the separation of NH3 from H2S in a sour water treatment process. By allowing the separation to take place at a higher temperature, the process for sulfur recovery will be important because of the removal of NH3. Furthermore, the recovery of NH3 in high purity through the novel membrane separation process would reduce both pollution and the process costs. The project involves measurements of membranes selectivity and evaluation of process parameters. The project is an SGER grant in the emerging NSF program on studies of Environmentally Benign Manufacturing. This NSF program is a forerunner to a planned NSF-CCR (Council of Chemical Research) joint venture.
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Collaborative Research: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable Networks
  • 批准号:
    2031899
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2020
  • 负责人:
    Yi Ma
  • 依托单位:
SGER: Explorations of Robust Image Classification
Estimation of Hybrid Models as Algebraic Sets
CRS--EHS: Collaborartive Research: An Algebraic Geometric Approach to Hybrid Systems Identification
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