Jin-sol Jung

Toward Generalizable Predictive Health Models for Diverse Turbofan Engines Via Knowledge Transfer

Jin-sol Jung, 손창민, Andrew Rimell, Rory Clarkson et autres

Abstract Predictive models for aircraft engines are being developed to forecast engine health conditions based on available operational data. In-service engine data will be the most valuable information to build such a model but may not always be accessible or sufficient. A …

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Machine Learning-Based Predictive Health Model of Turbofan Engine

Jin-sol Jung

Turbofan engine is one of the major elements providing power and thrust for aircraft. Maintaining the engine is vital for both safety and economy of aircraft operation. Besides, for an engine original equipment manufacturer, aftermarket services take account approximately 60% of company's …

Sensitivity of RANS-Based Transition Models on Compressor Rotor Aerodynamics

Yeongjun Bok, Jin-sol Jung, Audrey Abadilla, Changmin Son

The sensitivity of the transition model (γ–Reθ) to the aerodynamic characteristics of a compressor rotor was examined using a commercial RANS program. The single-stage compressor NASA Stage 35 was modeled for this purpose. Combinations of turbulence models paired with the transition model …

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Predictive engine model incorporating physics based model estimation and machine learning

Jin-sol Jung, Changmin Son, Andrew Rimell, Rory J. Clarkson

Gas turbine engines on aircraft are equipped with an Engine Health Monitoring (EHM) system that collects in-service data of various installed sensors. The system is not free from malfunction or deterioration. Hence, the signal can be lost (missing data) or convey faulty …

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A Framework for an ML-Based Predictive Turbofan Engine Health Model

Jin-sol Jung, Changmin Son, Andrew Rimell, Rory J. Clarkson

A predictive health modeling framework was developed for a family of turbofan engines, focusing on early detection of performance degradation. Turbine Gas Temperature (TGT) was employed as the primary indicator of engine health within the model, due to its strong correlation with …

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CFD Study on the Effect of Rotor Leading Edge Erosion on the Performance of Single Stage Compressor

Jin-sol Jung, Changmin Son

Abstract As aircraft engines operate in various environments, they are subjected to adverse external factors, such as ice crystals, sand dust, corrosive gases, etc. which damage engine components. One common damage found in the engines is erosion in a compressor. Due to …

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Impact of Data Quality on Predictive Engine Health Model using Machine Learning

Jin-sol Jung, Changmin Son, Andrew N. RIMELL, Rory J. Clarkson et autres

Engine health monitoring (EHM) data of in-service engines embeds various operational information and the footprints of performance deterioration. Therefore, a machine learning (ML) approach is attractive to build predictive models of engine performance and useful remained life. However, the collected EHM data …

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Sensitivity of selecting training data for machine learning to predict engine performance

Jin-sol Jung, Eric Bae, G. Geoffrey Vining, Changmin Son et autres

View Video Presentation: https://doi.org/10.2514/6.2023-2344.vid Predicting the performance and its deterioration of in-service engine provides a crucial impact on the safety and economy of the aerospace industry. Yet, it is challenging as the physics of gas turbine engine and its operational environment are …

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Experimental Study on Aerodynamic Loss and Heat Transfer for Various Squealer Tips

Jin-sol Jung, Inkyom Kim, Jin Sung Joo, Sang-Woo Lee

Experimental Study on Aerodynamic Loss and Heat Transfer for Various Squealer Tips

Jin-sol Jung, Inkyom Kim, Jin Sung Joo, Sang Woo Lee

Abstract This paper presents aerodynamic loss data for five squealer configurations of a full squealer (FS), a pressure-side squealer (PS), a suction-side squealer (SS), a camberline squealer (CS), and a full-camberline squealer (FCS) in a low-speed turbine cascade. In addition, tip thermal …

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Experimental Study on Aerodynamic Loss and Heat Transfer for Various Squealer Tips

Jin-sol Jung, Inkyom Kim, Jin Sung Joo, Sang Woo Lee

Abstract This paper presents aerodynamic loss data for five squealer configurations of a full squealer (FS), a pressure-side squealer (PS), a suction-side squealer (SS), a camberline squealer (CS), and a full-camberline squealer (FCS) in a low speed turbine cascade. In addition, tip …

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An Investigation on Aerodynamics Loss Mechanism of Squealer Tips of a High Pressure Turbine Blade Using URANS

Jin-sol Jung, O. Kwon, Changmin Son

The flow leaking over the tip of a high pressure turbine blade generates significant aerodynamic losses as it mixes with the mainstream flow. This study investigates the effect of blade tip geometries on turbine performance with both steady RANS and unsteady URANS …

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