Proceedings ArticleDOI
Turbomachinery Performance Modeling
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TLDR
Flow modeling basics are reviewed in this survey including a summary of the flow processes observed in nature and the development of a variety of different loss, blockage, and deviation models is reviewed.Abstract:
Analytical modeling of turbomachinery components and systems has been used for more than a century to develop new machines and understand internal flow states. Flow modeling basics are reviewed in this survey including a summary of the flow processes observed in nature. The development of a variety of different loss, blockage, and deviation models is reviewed, and the complexity of mathematical data processing and model development is presented. Examination of different modeling philosophies is given with critique of the consequences. Examples of data matching, modeling for design work, and modeling uncertainty are given. Suggestions for future improvements are offered.read more
Citations
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Journal ArticleDOI
1D Simulation and Experimental Analysis of a Turbocharger Compressor for Automotive Engines under Unsteady Flow Conditions
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An Improved Incidence Losses Prediction Method for Turbine Airfoils
TL;DR: In this paper, the authors evaluate existing turbine incidence loss correlations, and present an improved prediction method for profile and secondary losses at off-design conditions which correlates better with the available experimental results.
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Development and validation of a new turbocharger simulation methodology for marine two stroke diesel engine modelling and diagnostic applications
Nikolaos F. Sakellaridis,Spyridon I. Raptotasios,Antonis K. Antonopoulos,G. C. Mavropoulos,Dimitrios T. Hountalas +4 more
TL;DR: In this paper, the authors describe the development of a complete engine simulation model for marine diesel engines based on a new methodology for turbocharger modelling utilizing physically based meanline models for compressor and turbine.
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Development and validation of a 1D model for turbocharger compressors under deep-surge operation
Vincenzo De Bellis,R. Bontempo +1 more
TL;DR: In this paper, the authors presented the validation of a 1D compressor model (1DCM) applied to the simulation of deep-surge operation using an enhanced map-based approach, where proper "virtual pipes" are placed upstream and downstream the compressor to deal with the mass and energy storage and wave propagation effects.
References
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Neural networks for pattern recognition
TL;DR: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.
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Neural Networks for Pattern Recognition
Suresh Kothari,Heekuck Oh +1 more
TL;DR: The chapter discusses two important directions of research to improve learning algorithms: the dynamic node generation, which is used by the cascade correlation algorithm; and designing learning algorithms where the choice of parameters is not an issue.
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On Physically Similar Systems; Illustrations of the Use of Dimensional Equations
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Journal ArticleDOI
The 1993 IGTI Scholar Lecture: Loss Mechanisms in Turbomachines
TL;DR: The origins and effects of loss in turbomachines are discussed in this article with the emphasis on trying to understand the physical origins of loss rather than on reviewing the available prediction methods.
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