Blar i NTNU Open på forfatter "Lindqvist, Karl Erik Artur"
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A Machine Learning Approach to Correlation Development Applied to Fin-Tube Bundle Heat Exchangers
Lindqvist, Karl Erik Artur; Wilson, Zachary; Næss, Erling; Sahinidis, Nikolaos V. (Journal article; Peer reviewed, 2018)Heat exchanger designers need reliable thermal-hydraulic correlations to optimize heat exchanger designs. This work combines an adaptive sampling method with a Computational Fluid Dynamics (CFD) simulator to obtain increased ... -
A new approach to the identification of high-potential materials for cost-efficient membrane-based post-combustion CO2 capture
Roussanaly, Simon; Anantharaman, Rahul; Lindqvist, Karl Erik Artur; Hagen, Brede Andre Larsen (Journal article; Peer reviewed, 2018)Developing “good” membrane modules and materials is a key step towards reducing the cost of membrane-based CO2 capture. While this is traditionally being done through incremental development of existing and new materials, ... -
A validated CFD model of plain and serrated fin-tube bundles
Lindqvist, Karl Erik Artur; Næss, Erling (Journal article; Peer reviewed, 2018)This work presents a Computational Fluid Dynamics model of helically wound fin tube bundles and demonstrates its predictive capability for thermal-hydraulic performance. A consistent validation against experimental data ...