Overview
- Comprises an comprehensive catalog of standard day and humidity corrections
- Adopts an elemental style, requiring only a fundamental understanding of physics and calculus
- Provides derivations for all corrections, including time derivative corrections
- Features refinements to classical corrections and an exploration of empirical methodology
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About this book
The volume provides an exhaustive catalog of common standard day corrections for gas turbine gas path parameters, explores their history, and, most importantly, provides a mathematical framework for the derivation of these important normalization factors. Although use of these corrections is common practice within industry, government, and academia, their genesis, and, in particular, how they can be derived from simple principles, is not general knowledge among many of those who use them on a regular basis. This book elucidates calculation of these important coefficients. Standing as a one-stop source on derivations and a methodology for additional parameter correction refinements, Gas Turbine Parameter Corrections, is ideal as a desk reference for practitioners and researchers, as well as supplemental instruction for university courses on gas turbine performance, control, and DPHM (diagnostics, prognostics and health management).
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Table of contents (8 chapters)
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Bibliographic Information
Book Title: Gas Turbine Parameter Corrections
Authors: Allan J. Volponi
DOI: https://doi.org/10.1007/978-3-030-41076-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-41075-9Published: 01 March 2020
Softcover ISBN: 978-3-030-41078-0Published: 02 March 2021
eBook ISBN: 978-3-030-41076-6Published: 29 February 2020
Edition Number: 1
Number of Pages: XVI, 101
Number of Illustrations: 1 b/w illustrations, 18 illustrations in colour
Topics: Engineering Fluid Dynamics, Engine Technology, Aerospace Technology and Astronautics, Quality Control, Reliability, Safety and Risk