Variable Geometry System Turbocharger for Passenger Car Diesel Engine

Author(s):  
Akiko Kawamoto ◽  
Yukio Takahashi ◽  
Takaaki Koiken ◽  
Fusayoshi Nakamura



2009 ◽  
Author(s):  
Andy Banks ◽  
Phil Carden ◽  
Brian Cooper ◽  
Kevin Harding ◽  
Michael Jeremy ◽  
...  
Keyword(s):  


2003 ◽  
Vol 125 (2) ◽  
pp. 572-579 ◽  
Author(s):  
S. A. Nelson ◽  
Z. S. Filipi ◽  
D. N. Assanis

A technique which uses trained neural nets to model the compressor in the context of a turbocharged diesel engine simulation is introduced. This technique replaces the usual interpolation of compressor maps with the evaluation of a smooth mathematical function. Following presentation of the methodology, the proposed neural net technique is validated against data from a truck type, 6-cylinder 14-liter diesel engine. Furthermore, with the introduction of an additional parameter, the proposed neural net can be trained to simulate an entire family of compressors. As a demonstration, a family of compressors of different sizes is represented with a single neural net model which is subsequently used for matching calculations with intercooled and nonintercooled engine configurations at different speeds. This novel approach readily allows for evaluation of various options within a wide range of possible compressor configurations prior to prototype production. It can also be used to represent the variable geometry machine regardless of the method used to vary compressor characteristics. Hence, it is a powerful design tool for selection of the best compressor for a given diesel engine system and for broader system optimization studies.



Author(s):  
Athanasios Dimitriadis ◽  
Ioannis Natsios ◽  
Athanasios Dimaratos ◽  
Dimitrios Katsaounis ◽  
Zissis Samaras ◽  
...  




1978 ◽  
Author(s):  
Robert W. Talder ◽  
James D. Fleming ◽  
Donald C. Siegla ◽  
Charles A. Amann




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