2020 Fiscal Year Annual Research Report
Creating new capabilities of existing experimental techniques (UVP, PIV) by using CFD and AI
| Project/Area Number |
20J10276
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| Research Institution | Tohoku University |
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Principal Investigator |
ティワリ ニトゥ 東北大学, 工学研究科, 特別研究員(PD)
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| Project Period (FY) |
2020-04-24 – 2022-03-31
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| Keywords | Pressure measurement / Non- Newtonian fluid / Data driven / stochastic estimation / sensor selection |
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| Outline of Annual Research Achievements |
My research aims to enhance the capability of existing flow measurement experimental devices. First objective of my work is to provide the pressure field measurement tool for opaque and non-Newtonian fluids because direct pressure field measurement is still not possible in fluids (except air) by available experimental devices. In my research I have developed three novel algorithms for pressure estimation for opaque and non-Newtonian fluids. I have published my results in international Journal Flow measurement and instrumentation. Second objective of my work is to increase the resolution of measurement tool. I am developing new technique based on data driven models to increase the temporal resolution of measurement.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
I have developed three novel pressure estimation algorithms for opaque and non-Newtonian fluids. Based on these results one of my research paper is published in international Journal "Flow measurement and instrumentation". Second paper is under review in "Experiments in Fluids". I have been working on application of data driven techniques for temporal resolution improvement. I have completed most of the experiments and now conducting postprocessing. I will be able to write some new papers in coming months.
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| Strategy for Future Research Activity |
Required experiments for implementation of data driven techniques to enhance the experimental capability had been done. The experiments consist of time resolved measurements of supersonic jet with schlieren technique. The idea is to implement linear stochastic estimation for high speed flows to increase temporal resolution. Simultaneous pressure and temperature distributions measurement using sensitive paints has been done. The plan is to reconstruct the temperature distribution by just measuring temperature at few points using a sensor selection model.
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