Sung-Min Kim

Mechanical Engineering · with Mudawar · 2012–2020

A researcher in the Science corpus: 8 papers; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 125 citations into it; #1,672 of 8,300 by trust here, #4,096 by citations
• Computational Mechanics — 45 citations into it; #4,218 of 10,001 by trust here, #5,350 by citations
• Biomedical Engineering — 20 citations into it
• Aerospace Engineering — 14 citations into it
• Civil and Structural Engineering — 6 citations into it

Whom Sung-Min Kim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. I. Mudawar
2. Jaeseon Lee
3. Wei Li
4. D. D. Hall
5. Wei Qu
6. Zan Wu
7. L. Wojtan
8. Alberto Cavallini
9. M. Matkovič
10. V. Khanikar

Who trusts Sung-Min Kim overall

1. I. Mudawar
2. Yue Qiu
3. Gangtao Liang
4. Christopher A. Konishi
5. Deepak Garg
6. Liwei Zhou

Papers from Sung-Min Kim's perspective

Ordered by how strongly the researchers Sung-Min Kim trusts endorse each paper. Same corpus, a different order for every researcher.

1. Two-phase flow in high-heat-flux micro-channel heat sink for refrigeration cooling applications: Part II—heat transfer characteristics
2. Fluid flow and heat transfer characteristics of low temperature two-phase micro-channel heat sinks – Part 1: Experimental methods and flow visualization results
3. Flow vaporization of CO2 in microchannel tubes
4. Assessment of high-heat-flux thermal management schemes (ITHERM 2000. The Seventh Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (Cat. No.00CH37069))
5. New flow boiling heat transfer model and flow pattern map for carbon dioxide evaporating inside horizontal tubes
6. Investigation of Flow Boiling in Horizontal Tubes: Part I, A New Diabatic Two-Phase Flow Pattern Map
7. An experimental study on condensation of refrigerant R134a in a multi-port extruded tube
8. Fundamentals of Heat and Mass Transfer
9. Random Search for Hyper-Parameter Optimization
10. A condensation heat transfer correlation for millimeter-scale tubing with flow regime transition

Their papers

• Machine learning algorithms to predict flow condensation heat transfer coefficient in mini/micro-channel utilizing universal data (2020) — 165 citations
• An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data (2020) — 139 citations
• Universal approach to predicting heat transfer coefficient for condensing mini/micro-channel flow (2013) — 233 citations
• Universal approach to predicting two-phase frictional pressure drop for mini/micro-channel saturated flow boiling (2013) — 212 citations
• Universal approach to predicting saturated flow boiling heat transfer in mini/micro-channels – Part I. Dryout incipience quality (2013) — 173 citations
• Universal approach to predicting saturated flow boiling heat transfer in mini/micro-channels - Part II. Two-phase heat transfer coefficient (2013) — 401 citations
• Flow condensation in parallel micro-channels - Part 2: Heat transfer results and correlation technique (2012) — 149 citations
• Universal approach to predicting two-phase frictional pressure drop for adiabatic and condensing mini/micro-channel flows (2012) — 293 citations