Diesel Nozzle Flow and Spray Formation | Coupled Simulations with Real Engine Validation

Daniele Suzzi

ISBN 10: 3838109988 / ISBN 13: 9783838109985

Published by Südwestdeutscher Verlag für Hochschulschriften, 2015

About this Item

Diesel Nozzle Flow and Spray Formation | Coupled Simulations with Real Engine Validation | Daniele Suzzi | Taschenbuch | 124 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838109985 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 101491406

Bibliographic Details

• Title: Diesel Nozzle Flow and Spray Formation | Coupled Simulations with Real Engine Validation
• Publisher: Südwestdeutscher Verlag für Hochschulschriften
• Publication Date: 2015
• Language: English
• ISBN 10: 3838109988
• ISBN 13: 9783838109985
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 203 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The main task of the engine 3D CFD simulation is to support combustion design development. New combustion concepts can be analyzed and predicted by detailed thermo-dynamical computation. To achieve this aim many simulation tools are needed: each of them should be capable of reproducing the sensitivities of combustion design parameters through physically based models. The adoption of different nozzle configurations with analogous specific mass flow and load pressure strongly affect mixture and therefore emissions formation. Nevertheless, the relation between local nozzle flow and spray development in the combustion chamber is still a challenging topic with a high improvement potential. The final achievement of the thesis is a technique, which could reproduce the nozzle flow effects on the 3D simulation of engine combustion cycle, together with an advanced physical and statistical treatment of mixture formation process by means of an Eulerian approach. The advantages of the method will be proven on an operative truck engine case, for which a complete set of experimental data is available.

About the Author

SUZZI DANIELE, Geb. am 04.11.1978 in Bologna (It). Ausbildung:Doktorarbeit, Universität Stuttgart; Maschinenbau Studium,Universitá degli Studi di Bologna. Berufserfahrung: ResearchCenter Pharmaceutical Engineering GmbH, Graz (At), VIF, Thevirtual vehicle competence centre, Graz (At), Daimler AG,Stuttgart (De), AVL List GmbH, Graz (At).