Flow vaporization of CO2 in microchannel tubes
By J. Pettersen. 2004
211 citations recorded by the source corpus.
Subfields: Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/fb92bc3a3216aad21079194b20ae5cf29aa2c749
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Mechanical Engineering
- I. Mudawar
- Sung-Min Kim
- Gherhardt Ribatski
- John Richard Thome
- Lixin Cheng
- Suresh V. Garimella
- J. Quibén
- L. Wojtan
Citations in the corpus
- Universal approach to predicting two-phase frictional pressure drop for mini/micro-channel saturated flow boiling (2013, background): “The high pressure data include those of Pettersen [20], PR = 0.47–0.78, Ducoulombier [28], PR = 0.36–0.47, and Wu et al. [31], 0.14–0.47.”
- A general review of the Wilson plot method and its modifications to determine convection coefficients in heat exchange devices (2007, methodology): “Recently, Pettersen [54] chose the commercial software package DataFit (based on the Levenberg-Marquardt method) to conduct a nonlinear regression analysis of the experimental data points.”
- New prediction methods for CO2 evaporation inside tubes: Part I – A two-phase flow pattern map and a flow pattern based phenomenological model for two-phase flow frictional pressure drops (2008, background): “[21], Pettersen [25], Pettersen [30], Zhao et al.”
- Effect of tube diameter on boiling heat transfer of R-134a in horizontal small-diameter tubes (2005, background): “[26] investigated evaporation heat transfer for carbon dioxide flowing in a microchannel heat exchanger that had 25 channels that were 0.”
- State of the Art of High Heat Flux Cooling Technologies (2007, background): “Pettersen [42] has investigated the flow boiling of CO2 in 0.”
- New Prediction Methods for CO2 Evaporation Inside Tubes: Part II - An Updated General Flow Boiling Heat Transfer Model Based on Flow Patterns (2008, background): “18 Mean error ε Standard deviation σ All data points including both new and previous data [14-28] 1108 71.”