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Computational Thermal Sciences: An International Journal

Publicado 6 números por año

ISSN Imprimir: 1940-2503

ISSN En Línea: 1940-2554

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.5 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00017 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

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COMPARATIVE EVALUATION OF THE RE-ENTRANT AND FLAT TOROIDAL COMBUSTION CHAMBERS IN A DIRECT-INJECTION DIESEL ENGINE USING COMPUTATIONAL FLUID DYNAMICS

Volumen 6, Edición 2, 2014, pp. 171-190
DOI: 10.1615/ComputThermalScien.2014010594
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SINOPSIS

Numerical simulation is currently applied in all engineering applications. The application considered in the present work is the simulation of the flow field and combustion phenomena in a diesel engine. The physics underlying the combustion and pollutant formation phenomena in a direct-injection diesel engine is quite complex due to the various processes such as the mixing of fuel with air, turbulence of the flow field, and combustion phenomena followed by the formation of new chemical species. All these processes are modeled using conservation principles and stochastic processes. They are finally expressed in the form of partial differential equations. These are then converted into algebraic equations after discretization by the finite-volume method. The final sets of equations are solved by a pressure implicit splitting of operators algorithm and the state-of-the-art solver is accelerated using the multi-grid technique. With regard to the physical aspects of the present work, two different combustion chambers are compared in this three-dimensional computational fluid dynamics (CFD) simulation for the whole cycle of a four-stroke direct-injection diesel engine. From the experimental engine setup, the crank angle and in-cylinder pressure data are observed using sensors and a data acquisition system. The results between the measurements and calculations are in close agreement for the whole cycle considered for one of the combustion chambers, which is the hump (re-entrant type). The hump in the toroidal combustion chamber is removed (flat type) to study its effect on the flow field and combustion using CFD while maintaining exactly the same compression ratio. The results also confirm that the turbulence in the flow field is enhanced in the case with hump (re-entrant type) compared with the flat type. With the flat type, the squish flow and combustion during the compression and expansion strokes is affected significantly. This results in a loss of 11% peak pressure when compared with the re-entrant type. The results also confirmed that the piston geometry significantly influences the in-cylinder flow during the intake stroke. The bowl shape plays a significant role at the end of compression and in the early stage of the expansion stroke. The NOx emissions are slightly higher while the CO and CO2 emissions are relatively less in the re-entrant type.

CITADO POR
  1. Irimescu Adrian, Catapano Francesco, Di Iorio Silvana, Sementa Paolo, Influence of Combustion Efficiency on the Operation of Spark Ignition Engines Fueled with Methane and Hydrogen Investigated in a Quasi-Dimensional Simulation Framework, SAE Technical Paper Series, 1, 2018. Crossref

  2. Manimaran R., A review of computational studies on the effect of physical variables in direct injection diesel engines, Australian Journal of Mechanical Engineering, 2021. Crossref

  3. Renganathan Manimaran, Prediction of In-Cylinder Swirl in a Compression Ignition Engine with Vortex Tube Using Artificial and Recurrent Neural Networks, in Artificial Intelligence and Technologies, 806, 2022. Crossref

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