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The Multiphase Flow Experimental Scientist will perform collaborative research involving laboratory-based studies supporting the modeling of multiphase flows. The experiments will represent coal-based, natural gas-based, and biomass-based energy systems. Duties include the development and application of advanced experimental tools and techniques to study single phase and multiphase flow experiments to provide validated data for the experimental systems studied that can also be used for validating computational fluid dynamic models developed under the multiphase flow sciences program at NETL. Work performed by this position is primarily directed toward development and application of advanced measurement techniques for multiphase flow systems, including high speed image analysis, high speed particle tracking, laser-based holographic techniques including multi-resolution inline holography, and various pressure, temperature, and chemical composition measurement techniques.
This work will emphasize the application of these and other advanced laboratory techniques to various multiphase flow test rigs that models novel multiphase flow reactors and devices including circulating fluid beds, particle classifiers, and other fluid processes applicable to power generation technology systems. The Multiphase Flow Experimental Scientistwill work closely with NETL multiphase flow modelers to assist them with detailed code validation based on laboratory data. Work assignments will be in support of the NETL Computational Device Engineering Team and Multiphase Flow Science program in the RIC (CDE-RIC). The Multiphase Flow Experimental Scientist will also provide mentoring support to junior researchers in Laboratory-based research.
Primary Responsibilities Include:
- Developing, designing, and recommending physical experiments, including recommendations for identifying measurement locations for obtaining data to validate computational models and uncertainty estimates.
- Collaborating closely with multiphase flow science program members on developing physical models and experiments to support computational studies of advanced energy conversion systems, and responsible for applying experimental data to model validation and improvement.
- Providing R&D technical support for NETL multiphase flow science program and provide mentoring and guidance for junior researchers in laboratory experimentation methods and applications studying multiphase flow.
- Developing high fidelity analytical and computational models of steady state and dynamic flows in advanced energy conversion systems.
- Analyzing experimental data from laboratory tests and published data from other authors.
- Presenting ideas and results to the research team.
- Contributing to future research planning and assisting with proposals.
- Working independently and collaboratively with members of the research team to meet milestones and deliverables.
- Assisting or leading efforts in writing research papers and creating conference presentations.
- Ph.D. in chemical engineering, mechanical engineering, or a closely related field with an emphasis in: experimental research involving multiphase fluid dynamics in gas-solids, gas-liquids, liquid-solids, and three-phase flow testing; design, construction, operation of experiments in laboratory environments; and development and application of data analysis techniques; and less than 2 years prior relevant experience.
- 1-3 years of postgraduate research and development experience that includes an emphasis on experimental fluid dynamics in multiphase flows including the use of PIV-related techniques, digital holography, and application of high-energy lasers and high speed or high-resolution digital cameras.
- Expertise in experimental fluid dynamics including high speed imaging, Particle Image Velocimetry (PIV)-related techniques, digital multi-scale holography, and application of high-energy lasers and high speed or high- resolution digital cameras to study multiphase systems, including fluid beds and other configurations important to energy conversion and chemical reactors.
- Ability to develop, optimize, and apply custom software for pattern recognition algorithms to automatically extract size and 3-dimensional space location information from raw holograms and other measurement techniques.
- Experience in using MATLAB, C, Fortran, Maple, and Mathematica computer languages, and SolidWorks, AutoCAD, Abaqus, Fluent, ImageJ, Tecplot, and Photoshop technical software.