Project Overview
Project Description
The primary goal of this fellowship project is to leverage computational fluid dynamics (CFD) to enhance the design and performance of electrolysis cells employed in the domestic refining of critical materials. The project specifically focuses on developing methods for distributing flow to achieve a desired flow pattern. The objective is to deliver design recommendations for improved flow distribution, manufacturability, and performance.
Primary responsibilities include:
- Desk research on electrolysis cell designs and problem definition.
- Initial CFD modeling and analysis in a liquid environment, exploring flow distribution methods and identifying design improvements.
- CAD iterations and design refinement, collaborating with the design team. Ensure manufacturability and ease of implementation and conduct virtual tests and analyses.
- Rapid prototyping and real-world testing facilitated by the Nth Cycle team. Gather data and compare with CFD predictions.
- Correlation of CFD models with physical tests & model refinement.
- Produce report and recommendations on results.
Impact
Nth Cycle‘s novel, low-emission technology can be applied in mining, from extracting metal trapped within low-grade minerals and mining waste streams, to recycling, by salvaging material from end-of-life scrap. Nth Cycle is closing the mining production loop and making metals infinitely reusable.
Eligibility Criteria
Skills / Experience:
- Required:
- Computational Fluid Dynamics (CFD)
- Thermal-Fluid Systems modeling and analysis
- Manufacturing/Design for Manufacturing
- Desired:
- Machine learning
- Hydraulics
- Multiphase CFD
- Structural Design and Analysis
- CAD Modeling
Software Needs:
- (Required) Autodesk CFD [Expert]
- (Desired) Fusion 360 [Intermediate]
Discipline:
- Mechanical engineering
- Materials engineering
Preferred Fellow Local Experience (All projects can be completed remotely):
- Any
Time zone compatibility (when the Fellow should be available for meetings):
- N/A
