Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-12-18
2024-10-25
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.