Joachim Kurzke, Ian Halliwell, Robert Hill

Propulsion and Power (eBook, PDF)

An Exploration of Gas Turbine Performance Modeling

• Format: PDF

Produktbeschreibung

Guide for solving real world problems with modern computer software

Good text for teaching gas turbine design and performance

Solutions of overall system simulation problems

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 908
• Erscheinungstermin: 15. April 2025
• Englisch
• ISBN-13: 9783031650260
• Artikelnr.: 73884577

Autorenporträt

Joachim Kurzke spent his engineering life dealing with gas turbine performance, first at the Technical University of Munich, Institute for Flight Propulsion. He then worked for 28 years in the performance department of the company which is now MTU Aero Engines, dealing with a multitude of different engine projects. As a private enterprise he wrote the highly-acclaimed performance program GasTurb(TM). Ian Halliwell worked for over 40 years for Rolls-Royce, Pratt & Whitney Canada, GE and three small businesses. For much of that time he enjoyed teaching gas turbine engine design from an industrial base. His teaching activities have been inspired by his long-time involvement in the AIAA International Engine Design Competition for Undergraduate Teams. Robert Hill worked for nearly 40 years at MTU Aero Engines and Rolls-Royce Deutschland. For most of the last 20 years, he studied the conceptual cycle design of new propulsion systems for corporate and regional aircraft.

Inhaltsangabe

Simulation tasks: New engine design.- Engine families.- Modeling an engine.- Engine model examples.- Model-based performance analysis.- Inlet flow distortion.- Transient performance simulation.- Preliminary design:- Compressor.- Turbines.- Mechanical design.- Off-design: Component performance.- Understanding off-design behavior.- Basics: Gas properties and standard atmosphere.- Spreadsheet calculations.- Non-dimensional performance.- Reynolds number corrections.- Efficiency of a cooled turinbe.- Secondary air system.- Mathematics.- Optimization.- Monte Carlo simulations.- Appendix.