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A Complete Methodology for the Predictive Simulation of Novel, Single- And Multi-Component Fuel Combustion

AUTHOR Crönert, Sebastian K.
PUBLISHER Springer Vieweg (10/02/2023)
PRODUCT TYPE Paperback (Paperback)

Description

Sebastian K. Crönert presents a new, automated process that makes it possible to obtain all the fuel properties required for combustion simulation. If necessary, these are then transferred - also automatically - into specially created correlation equations through which they are then made available again at simulation runtime. This method makes it possible to represent even more complex correlations and cross-influences on calculation variables in a resource-optimised way (memory requirements and access time) while maintaining the same accuracy. The procedure is validated using test bench measurement data for the pure fuels anisole and cyclopentanone and their blends with regular petrol (RON95E10). Additional validations include more established synthetic fuels and hydrogen. It is shown that an extraordinarily high prediction quality can be achieved for the model class.

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Product Format
Product Details
ISBN-13: 9783658430740
ISBN-10: 3658430745
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 186
Carton Quantity: 32
Product Dimensions: 5.83 x 0.52 x 8.27 inches
Weight: 0.67 pound(s)
Feature Codes: Illustrated
Country of Origin: NL
Subject Information
BISAC Categories
Technology & Engineering | Automotive
Technology & Engineering | Engineering (General)
Technology & Engineering | Chemistry - Industrial & Technical
Descriptions, Reviews, Etc.
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Sebastian K. Crönert presents a new, automated process that makes it possible to obtain all the fuel properties required for combustion simulation. If necessary, these are then transferred - also automatically - into specially created correlation equations through which they are then made available again at simulation runtime. This method makes it possible to represent even more complex correlations and cross-influences on calculation variables in a resource-optimised way (memory requirements and access time) while maintaining the same accuracy. The procedure is validated using test bench measurement data for the pure fuels anisole and cyclopentanone and their blends with regular petrol (RON95E10). Additional validations include more established synthetic fuels and hydrogen. It is shown that an extraordinarily high prediction quality can be achieved for the model class.
Contents
  • Fundamentals
  • Reaction Kinetic Calculations
  • Automation of A New Fuel Implementation
  • Methodology Validation
Target Groups
  • Lecturers and students of vehicle powertrain systems and technical combustion
  • Practitioners in the field of 0D/1D simulation, technical combustion, synthetic fuels, hydrogen, reaction kinetics
About the AuthorSebastian K. Crönert completed his doctorate at the Institute of Automotive Engineering Stuttgart (IFS) at the University of Stuttgart and continues to work there as a research assistant. His work focuses on reaction kinetic investigations of synthetic fuels, hydrogen and ammonia as well as software engineering and model development.
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publisher marketing

Sebastian K. Crönert presents a new, automated process that makes it possible to obtain all the fuel properties required for combustion simulation. If necessary, these are then transferred - also automatically - into specially created correlation equations through which they are then made available again at simulation runtime. This method makes it possible to represent even more complex correlations and cross-influences on calculation variables in a resource-optimised way (memory requirements and access time) while maintaining the same accuracy. The procedure is validated using test bench measurement data for the pure fuels anisole and cyclopentanone and their blends with regular petrol (RON95E10). Additional validations include more established synthetic fuels and hydrogen. It is shown that an extraordinarily high prediction quality can be achieved for the model class.

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Paperback