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Zijuan Ren
School of Mechanical and Automotive Engineering, Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, Fujian Province, 361024
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering

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Coolant Bleed Flow Modeling and Prediction for Aircraft Engines Based on TSO-RF Algorithm Enlai Zhang; Jiaqiang Jiang; Zijuan Ren
Journal of Engineering and Technological Sciences Vol. 58 No. 4 (2026): Vol. 58 No. 4(2026): August
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2026.58.4.6

Abstract

Coolant bleed flow forecasting is critical for the engineering health of aircraft engines. Using the datasets from Commercial Modular Aero-Propulsion System Simulation (C-MAPSS), this paper aims to establish high-precision coolant bleed flow models by the random forest (RF) algorithm combined with tuna swarm optimization (TSO). 17 sensor variables that are moderately or highly correlated with the low-pressure turbine (LPT) and high-pressure turbine (HPT) are selected as inputs with LPT and HPT as outputs. After being trained and validated on the FD002 and FD004 datasets, the TSO-RF model significantly reduces mean squared error, mean absolute error and root mean squared error, and improves the determination coefficient R² compared to other RF models. It verifies the superiority of the TSO-RF model in predicting engine coolant bleed flow, providing reliable technical support for subsequent evaluation and management in aircraft engine bleed air system.
Co-Authors Enlai Zhang Jiaqiang Jiang