The CRECK Modeling Lab is looking for candidates for a PhD position for a research project in collaboration with Department of Energy on hydrogen combustion 🔥. The project aims at developing and optimizing new burners fed with hydrogen to enhance efficiency, ensure safety, and minimize pollutant emissions.
OpenSMOKE++ was used in OptiSMOKE++, a flexible toolbox for the optimization of chemical kinetics. The toolbox is the resultof a collaboration between the CRECK Modeling Lab at Politecnico di Milano and the Université Libre de Bruxelles. OptiSMOKE++ is described in a paper recently published on Computer Physics Communication with title: "OptiSMOKE++: A toolbox for optimization of chemical kinetic mechanisms".
OpenSMOKE++ was used for simulating the evaporation and combustion of isolated fuel droplets. The work is a collaboration between the CRECK Modeling Lab, Cornell University, University of San Diego California, Lawrence Livermore National Laboratory and Sandia National Laboratories. The main results have been published on Fuel in a paper with title: "Simulating combustion of a seven-component surrogate for a gasoline/ethanol blend including soot formation and comparison with experiments".
OpenSMOKE++ was used for simulating the evaporation and combustion of isolated fuel droplets. The work is a collaboration between the CRECK Modeling Lab, Cornell University, University of San Diego California and NASA Glenn Research Center. The main results have been published on Combustion Theory and Modelling in a paper with title: "The role of composition in the combustion of n-heptane/iso-butanol mixtures: experiments and detailed modelling".
Great News! The 40th International Symposium on Combustion will take place in Milano in July 2024. It is a real honor for CRECK Modeling Lab and OpenSMOKE++ members to be part of the organizing committee of the world most important event in the field of combustion!
The OpenSMOKE++ framework was used in the context of adaptive reduced chemistry for multidimensional laminar flames in a recent publication on Energies with title: "Impact of the partitioning method on multidimensional adaptive-chemistry simulations".
The OpenSMOKE++ framework was used for predicting the formation of NOx in laminar flames in a recent publication on Combustion Theory and Modelling with title: "A virtual chemical mechanism for prediction of NO emissions from flames".
The OpenSMOKE++ framework was used for simulating the formation of carbonaceous soot particles in laminar coflow flames in a recent publication on Applied Physics B: Lasers and Optics with title: "A forward approach for the validation of soot sizing models using laser-induced incandescence (LII)".
The OpenSMOKE++ framework was used for calculating the reaction and formation rates in a recent publication on Flow, Turbulence and Combustion with title: "An a priori DNS analysis of scale similarity based combustion models for LES of non-premixed jet flames".
The laminarSMOKE framework was used for implementing a new methodology, called SPARC (Sample-Partitioning Adaptive Reduced Chemistry), to apply detailed kinetic mechanisms for CFD simulations of multidimensional flames: "Adaptive chemistry via pre-partitioning of composition space and mechanism reduction".
The OpenSMOKE++ framework was used for calculating the reaction and formation rates in a recent publication on Flow, Turbulence and Combustion with title: "New Dynamic Scale Similarity Based Finite-Rate Combustion Models for LES and a priori DNS Assessment in Non-premixed Jet Flames with High Level of Local Extinction".
The laminarSMOKE framework was used for modeling laminar sooting coflow flames in a recent publication on Combustion and Flame with title: "A post processing technique to predict primary particle size of sooting flames based on a chemical discrete sectional model: Application to diluted coflow flames".
