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Towards design optimization of high-pressure gasoline injectors using Genetic Algorithm coupled with Computational Fluid Dynamics (CFD)

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Towards design optimization of high-pressure gasoline injectors using Genetic Algorithm coupled with Computational Fluid Dynamics (CFD)

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Hellmann, R.; Jochmann, P.; Stapf, KG.; Schuenemann, E.; Daróczy, L.; Thévenin, D. (2017). Towards design optimization of high-pressure gasoline injectors using Genetic Algorithm coupled with Computational Fluid Dynamics (CFD). En Ilass Europe. 28th european conference on Liquid Atomization and Spray Systems. Editorial Universitat Politècnica de València. 880-887. doi:10.4995/ILASS2017.2017.4586

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/96263

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Title: Towards design optimization of high-pressure gasoline injectors using Genetic Algorithm coupled with Computational Fluid Dynamics (CFD)
Author:
Issued date:
Abstract:
[EN] The spray pattern of high-pressure multi-hole injectors as well as the atomization process are of uttermost importance regarding efficiency and emissions in gasoline combustion engines. Ensuring optimal homogenization ...[+]
Subjects: Nozzle flow , High Pressure Injector , CFD , Metamodeling , Genetic Algorithm , Optimization
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490485804
Source:
Ilass Europe. 28th european conference on Liquid Atomization and Spray Systems.
DOI: 10.4995/ILASS2017.2017.4586
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/ILASS/ILASS2017/paper/view/4586
Conference name: ILASS2017 - 28th European Conference on Liquid Atomization and Spray Systems
Conference place: Valencia, Spain
Conference date: September 06-08, 2017
Type: Capítulo de libro Comunicación en congreso

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