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Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines

Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines

MDPI AG

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In the last decade, more stringent regulations have forced a significant reduction in the levels of pollutants emitted into the atmosphere; nevertheless, internal combustion engines and gas turbines still represent the most widely operated energy conversion systems. Experimental investigations play a fundamental role in allowing a better understanding of the processes that are responsible for noxious species formation. Indeed, only experimental activities can provide basic data to deeply analyze the phenomena occurring inside combustion chambers. On the other hand, experimental facilities have a high cost of maintenance and operation and, therefore, the same data are generally used for the validation of numerical models that in turn can be helpful to predict the behavior of engines and gas turbines under a wide range of operating conditions, or to test their operation in innovative combustion concepts. This Reprint collects innovative research on combustion computational models and their methodologies of validation, covering a wide range of applications and solutions in which reciprocating engines and gas turbines are implemented.

Accessories:
No Accessory
Publisher
MDPI AG
Bisac Major Subject
Technology & Engineering
Bisac Minor Subject
General
Binding Type
Hardcover
Country Of Origin
US
Number Of Units
1
Length
9.61 Inches
Barcode Indicator
EAN
Width
6.69 Inches
Publication Date
1970-01-01
Height
0.69 Inches
ISBN 10
3725825734
Weight
1.5 Pounds
Book EAN
9783725825738
Target Audiance
Adults

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