Abstract
This paper describes a tool developed for estimating performance of suction pumps for Hybrid Laminar Flow Control (HLFC) with constraints related to real aircraft application. The suction pump has three components: a compressor, a generator and a motor. The last two must fit the overall aircraft electric system, which is unknown at this stage. Therefore, general linear approximations are used. The compressor is independent from other systems and is optimized specifically for HLFC. The models have been validated with data from previous HLFC concept studies. The tool, developed in Python, provides sufficient details to ensure the constraints are satisfied, while still requiring minimal computational efforts and allowing the user to choose freely any optimization variables, constraints and objectives functions. This represents the first step toward a system-level optimization of HLFC concepts.
| Original language | English |
|---|---|
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | International Journal of Mechanical Engineering and Robotics Research |
| Volume | 7 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2018 |
| Externally published | Yes |
Keywords
- Compressor
- HLFC
- Optimization
- Suction pump
- Tool
Profiles
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Chris Atkin
- School of Engineering, Mathematics and Physics - Professor of Engineering and Head of Engineering
- Fluids & Structures - Member
- Sustainable Energy - Member
Person: Research Group Member, Academic, Teaching & Research