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publications
Inverse design framework for optimizing solid propellant grains toward target performance profiles
Published in Acta Astronautica, 2025
This paper proposes a surrogate-assisted inverse design framework that integrates an artificial neural network (ANN) with a genetic algorithm (GA) to optimize solid rocket motor propellant grain geometries toward prescribed thrust-time profiles.
Recommended citation: Kim, E., Joo, S., & Oh, S. (2025). "Inverse design framework for optimizing solid propellant grains toward target performance profiles." Acta Astronautica.
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Numerical investigations on double Savonius vertical axis wind turbines with a deflector: Effects of turbine and deflector-related parameters
Published in Energy Reports, 2025
This paper presents a numerical investigation of double Savonius vertical axis wind turbines equipped with a deflector, examining the effects of turbine- and deflector-related design parameters on aerodynamic performance using CFD and the Taguchi method.
Recommended citation: Han, Y., Kim, E., & Oh, S. (2025). "Numerical investigations on double Savonius vertical axis wind turbines with a deflector: Effects of turbine and deflector-related parameters." Energy Reports, 14, 4950–4962.
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talks
Shape optimization of solid propellants based on artificial neural networks
Published:
Kim, E., Oh, S., Joo, S., Oh, S.J. “Shape optimization of solid propellants based on artificial neural networks.” Korean Society of Propulsion Engineers 2024 Fall Conference (KSPE 2024).
Grain geometry optimization with consideration of performance constraints
Published:
Oh, S., Kim, E., Oh, S.J., Heo, J., Joo, S. “Grain geometry optimization with consideration of performance constraints.” Korean Society of Propulsion Engineers 2025 Spring Conference (KSPE 2025).