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For every engineering area, it is very important to increase the way of heat transfer to get high power levels with low cost. Especially in nuclear engineering, the design of fuel rod in nuclear core which can produce very high level power density is very important to run the nuclear plant with safety and economically. Therefore, understanding basic phenomenon of heat transfer is the main study to increase the efficiency; boiling heat transfer, flow visualization, temperature distribution, and nanofluids.
Flow visualization of nucleate boiling is important in many engineering fields because boiling mechanism can affect the safety margin of systems including nuclear power plants. Nucleate boiling is an effective method of heat transfer. However, nucleate boiling heat transfer is an empirical science which has not been justified for decades. So it is very important to measure the nucleate boiling phenomenon to approach the principle of bubbles’ formation.
Understanding of temperature distribution during heat transfer is the key phenomenon to remove the heat effectively because we can analyze the area where the maximum heat is distributed. LIF (Laser Induced Fluorescence) and IR thermometry are used as techniques for analyzing temperature distribution.
Nanofluids are used to increase thermal conductivity to increase thermal margin of reactor. Different nanofluids have been studied with different experimental equipment; wire pool boiling, plate pool boiling, and flow boiling. In our lab, we try to understand and research the reason how the thermal properties of nanofluids are increased compared with base fluids.

 

 

 

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IR images of heater surface (plate pool boiling) during CHF experiment using FC-72

13 LIF experiment with 1/40 scaled down Calandria Vessel (PHWR)

 

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January 4th, 2024

2023 Conferences

Conference Ji Yong Kim, Seung Chang Yoo, Joo Hyung Seo, Ji Hyun Kim, In Cheol Bang, Design and Construction of Fluid-to-Fluid […]

January 4th, 2024

2023 Journals

Journals Ik Jae Jin, Do Yeong Lim, In Cheol Bang, Deep-learning-based system-scale diagnosis of a nuclear power plant with multiple infrared […]

June 5th, 2023

2022 Conferences

Conference Do Yeong Lim, Ik Jae Jin, In Cheol Bang, Convolutional Neural Network-based Boiling Regime Determination Using Acoustic Emission Signal […]

June 5th, 2023

2022 Journals

Journals Min Ho Lee, Ji-Hwan Hwang, Ki Hyun Choi, Dong Wook Jerng, In Cheol Bang*, Application of two different similarity laws […]

April 7th, 2022

2021 Conferences

Conference Ji Yong Kim, In Cheol Bang, Preliminary study on the boiling heat transfer performance of R-123 refrigerant with nano-porous aluminium […]

April 7th, 2022

2021 Journals

Journals Seok Bin Seo, In Cheol Bang*, Hisashi Ninokata, Antonio Cammi, Application of adjoint-based sensitivity analysis to natural circulation of […]

January 5th, 2020

2020 Conferences

Conference Do Yeong Lim, In Cheol Bang, Artificial Intelligence-based Phase-Change Regime Classification of Acoustic Emission Detection in Pool Boiling, Transactions of […]

January 5th, 2020

2020 Journals

Journals Yeong Shin Jeong, Ji Yong Kim, In Cheol Bang*, Enhanced Heat Transfer and Reduced Pressure Loss with U-pattern of […]

July 9th, 2019

2019 Conferences

Conference Kyung Mo Kim, Nam Ki Lee, In Cheol Bang, Activities of Haeorum Alliance Nuclear Innovation Center for Improved Public Acceptance […]

February 20th, 2019

2018 Conferences

Conference Han Eol Park, Seok Bin Seo, In Cheol Bang, Nu-HOPE: The Experimental Platform for Heat Transfer Characteristics of Molten […]