Young-Yeon Lee
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Young-Yeon Lee has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Gun-Do Kim
Korea Research Institute of Ships and Ocean Engineering (KRISO), Yuseongdae-ro 1312beon-gil, Yuseong-gu, Daejeon 34103, Republic of Korea
1 shared publication - Joon-Hyoung Lee
Korea Research Institute of Ships and Ocean Engineering, Daejeon 34103, Republic of Korea
1 shared publication - Kwang-Soo Kim
Korea Research Institute of Ships and Ocean Engineering (KRISO), Yuseongdae-ro 1312beon-gil, Yuseong-gu, Daejeon 34103, Republic of Korea
1 shared publication - Moon-Chan Kim
Department of Naval Architecture and Ocean Engineering, Pusan National University, Busan 46421, Republic of Korea
1 shared publication - Myoung-Soo Kim
Advanced-Intelligent Ship Research Division, Korea Research Institute of Ships and Ocean Engineering, Daejeon 34103, Republic of Korea
1 shared publication - Seong Mo Yeon
Korea Research Institute of Ships and Ocean Engineering (KRISO), Yuseongdae-ro 1312beon-gil, Yuseong-gu, Daejeon 34103, Republic of Korea
1 shared publication
Latest Publications
- Open Access
- 17 March 2025
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 13 (3) , 595
Self-Propulsion Factors for Minimum Propulsion Power Assessment in Adverse Conditions
Considering that slow steaming requires low engine power, which impedes maneuverability under severe sea conditions, the International Maritime Organization (IMO) provides guidelines for the minimum propulsion power (MPP) required to maintain ship maneuverability in adverse conditions. This study focused on the characteristics of self-propulsion factors in the context of MPP assessment to enhance MPP prediction accuracy. Overload tests were conducted at low speeds of advance, considering added resistance in adverse conditions. Moreover, propeller open-water tests were conducted corresponding to propeller flow with low Reynolds numbers to investigate their effect on self-propulsion factors. In addition, computational fluid dynamics (CFD) simulations were conducted to analyze physical phenomena such as the flow field and pressure distribution under model test conditions. The results indicated that the thrust deduction factor was lower than that given in the guidelines, whereas the wake fraction was higher at the required forward speed of 2 knots. The MPP assessment in this study revealed that the required brake power was 4–5% lower than that given in the guidelines, indicating that the guidelines need reviewing for a more reliable assessment.
- 17 March 2025
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 13 (3) , 595
Open AccessSelf-Propulsion Factors for Minimum Propulsion Power Assessment in Adverse Conditions
Considering that slow steaming requires low engine power, which impedes maneuverability under severe sea conditions, the International Maritime Organization (IMO) provides guidelines for the minimum propulsion power (MPP) required to maintain ship maneuverability in adverse conditions. This study focused on the characteristics of self-propulsion factors in the context of MPP assessment to enhance MPP prediction accuracy. Overload tests were conducted at low speeds of advance, considering added resistance in adverse conditions. Moreover, propeller open-water tests were conducted corresponding to propeller flow with low Reynolds numbers to investigate their effect on self-propulsion factors. In addition, computational fluid dynamics (CFD) simulations were conducted to analyze physical phenomena such as the flow field and pressure distribution under model test conditions. The results indicated that the thrust deduction factor was lower than that given in the guidelines, whereas the wake fraction was higher at the required forward speed of 2 knots. The MPP assessment in this study revealed that the required brake power was 4–5% lower than that given in the guidelines, indicating that the guidelines need reviewing for a more reliable assessment.
- Open Access
- 11 October 2023
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 11 (10) , 1961
Power Prediction Method for Ships Using Data Regression Models
This study proposes machine learning-based prediction models to estimate hull form performance. The developed models can predict the residuary resistance coefficient (), wake fraction (), and thrust deduction fraction (t). The multi-layer perceptron and convolutional neural network models, wherein the hull shape was considered as images, were evaluated. A prediction model for the open-water characteristics of the propeller was also generated. The experimental data used in the learning process were obtained from model test results conducted in the Korea Research Institute of Ships and Ocean Engineering towing tank. The prediction results of the proposed models showed good agreement with the model test values. According to the ITTC procedures, the service speed and shaft revolution speed of a ship can be extrapolated from the values obtained from the predictive models. The proposed models demonstrated sufficient accuracy when applied to the sample hull forms based on data not used for training. Thus, they can be implemented in the preliminary design phase of hull forms.- 11 October 2023
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 11 (10) , 1961
Open AccessPower Prediction Method for Ships Using Data Regression Models
This study proposes machine learning-based prediction models to estimate hull form performance. The developed models can predict the residuary resistance coefficient (), wake fraction (), and thrust deduction fraction (t). The multi-layer perceptron and convolutional neural network models, wherein the hull shape was considered as images, were evaluated. A prediction model for the open-water characteristics of the propeller was also generated. The experimental data used in the learning process were obtained from model test results conducted in the Korea Research Institute of Ships and Ocean Engineering towing tank. The prediction results of the proposed models showed good agreement with the model test values. According to the ITTC procedures, the service speed and shaft revolution speed of a ship can be extrapolated from the values obtained from the predictive models. The proposed models demonstrated sufficient accuracy when applied to the sample hull forms based on data not used for training. Thus, they can be implemented in the preliminary design phase of hull forms.