Examination of a soot model in premixed laminar flames at fuel-rich conditions W Pejpichestakul, E Ranzi, M Pelucchi, A Frassoldati, A Cuoci, A Parente, ... Proceedings of the Combustion Institute 37 (1), 1013-1021, 2019 | 182 | 2019 |
Kinetic modeling of soot formation in premixed burner-stabilized stagnation ethylene flames at heavily sooting condition W Pejpichestakul, A Frassoldati, A Parente, T Faravelli Fuel 234, 199-206, 2018 | 54 | 2018 |
Modeling soot particles as stable radicals: a chemical kinetic study on formation and oxidation. Part I. Soot formation in ethylene laminar premixed and counterflow diffusion … A Nobili, A Cuoci, W Pejpichestakul, M Pelucchi, C Cavallotti, T Faravelli Combustion and Flame 243, 112073, 2022 | 45 | 2022 |
Buoyancy effect in sooting laminar premixed ethylene flame W Pejpichestakul, A Cuoci, A Frassoldati, M Pelucchi, A Parente, ... Combustion and Flame 205, 135-146, 2019 | 33 | 2019 |
Soot modeling of ethylene counterflow diffusion flames W Pejpichestakul, A Frassoldati, A Parente, T Faravelli Combustion Science and Technology 191 (9), 1473-1483, 2019 | 31 | 2019 |
Process heat integration between distillation columns for ethylene hydration process W Pejpichestakul, K Siemanond CHEMICAL ENGINEERING 35, 2013 | 20 | 2013 |
On the combustion and sooting behavior of standard and hydro-treated jet fuels: an experimental and modeling study on the compositional effects M Pelucchi, P Oßwald, W Pejpichestakul, A Frassoldati, M Mehl Proceedings of the Combustion Institute 38 (1), 523-532, 2021 | 19 | 2021 |
Modeling soot particles as stable radicals: a chemical kinetic study on formation and oxidation. Part II. Soot oxidation in flow reactors and laminar flames A Nobili, W Pejpichestakul, M Pelucchi, A Cuoci, C Cavallotti, T Faravelli Combustion and Flame 243, 112072, 2022 | 15 | 2022 |
Retrofit of refinery heat exchanger network under different kinds of crude oil by pinch design method using mathematical programming W Pejpichestakula, K Siemanond Chem. Eng 32, 1332236, 2013 | 12 | 2013 |
Computational Chemistry Consortium: Surrogate Fuel Mechanism Development, Pollutants Submechanisms and Components Library M Pelucchi, L Cai, W Pejpichestakul, R Tripathi, SW Wagnon, K Zhang, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States) 1 …, 2019 | 11 | 2019 |
The CRECK modeling group T Faravelli, E Ranzi, A Frassoldati, A Cuoci, M Mehl, M Pelucchi, A Stagni, ... | 6 | 2020 |
Chemical and physical pathways of PAH and soot formation in laminar flames W Pejpichestakul Politecnico di Milano, 2019 | 4 | 2019 |
Transfer Learning of Hydroprocessing Model from Fossil Feedstocks to Waste Plastic Pyrolysis Oil W Pejpichestakul, PJ Becker, B Celse Computer Aided Chemical Engineering 53, 3115-3120, 2024 | 1 | 2024 |
Mechanism Comparison for PAH Formation in Pyrolysis and Laminar Premixed Flames W Pejpichestakul, R Tripathi, M Pelucchi, L Cai, H Pitsch, E Ranzi, ... Proceedings of the European Combustion Meeting 2019, 1-6, 2019 | 1 | 2019 |
Theoretical and kinetic modelling study of the oxidation of oxygenated aromatic hydrocarbons: reaction classes and rate rules S Caruso, G Cislaghi, L Pratali Maffei, W Pejpichestakul, M Pelucchi, ... 42th Meeting of the Italian Section of the Combustion Institute, 3-8, 2019 | | 2019 |
Simulating Soot Formation in Model Flames W Pejpichestakul, A Cuoci, T Faravelli, JF Glusman, HA Michelsen, ... Proceedings of the 2019 WSSCI Fall Technical Meeting, 1-10, 2019 | | 2019 |
Evaluation of Polycyclic Aromatic Hydrocarbon Formation in Counterflow Diffusion Flames R Tripathi, W Pejpichestakul, L Cai, M Pelucchi, T Faravelli, H Pitsch Proceedings of the European Combustion Meeting 2019, 1-6, 2019 | | 2019 |
Detailed kinetic modeling of soot formation at lightly sooting conditions W Pejpichestakul, A Frassoldati, A Parente, T Faravelli 40th Meeting of the Italian Section of the Combustion Institute, 1-6, 2017 | | 2017 |
On the combustion and sooting behavior of standard and hydro-treated jet fuels M Pelucchi, P Osswald, W Pejpichestakul, A Frassoldati, M Mehl | | |
Applications of Monte Carlo Markov Chains in Kinetic Modelling of Hydroprocessing with Transfer Learning: Parameter Identification from Pilot Plant and Industrial Data PJ Becker, W Pejpichestakul, B Celse Available at SSRN 5131444, 0 | | |