🌍🚀 Happy to share our latest publication on combustion of n-propylbenzene. The work is a collaboration between CRECK Modeling, Cornell University, Clemson University, and NASA Glenn Research Center! 

🎉 Congratulations to Edoardo Cipriano on his latest research publication! I’m happy to share this work, published in the International Journal of Heat and Mass Transfer.
The work is a collaborative effort between CRECK Modeling and Prof. Popinet from Sorbonne Université in Paris, and it introduces a robust volume-of-fluid VOF model for simulating the evaporation of suspended droplets under various gravity conditions—essential for applications from combustion to microgravity studies. 🌍🚀

🔗 Open to the community: The framework is available on the open-source Basilisk platform, offering a valuable tool for researchers and engineers.

Explore the full paper and model here: https://lnkd.in/dptyFnP9

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!

Watch the video on Linkedin!

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".