Application concept of artificial neural networks for turbomachinery design. (Received in the final form August 19, 2009)
Journal Title: Computer Assisted Methods in Engineering and Science - Year 2009, Vol 16, Issue 2
Abstract
This paper presents the results of an extensive investigation evaluating and improving the development of artificial neural network (ANN) models for turbomachinery design purposes. A set of 1100 differing axial compressor geometries based on 5 single-stage compressor rigs was prepared. Computations with the mean line analysis tool AXIAL™ took place to determine the according compressor maps defined by 15 operating points each. The challenge of ANN model development in terms of dimensionality reduction (feature selection), data normalization, defining the networks necessary plasticity, and network training is discussed using the example of three different models. As a result, the first model is able to predict the total pressure loss of the rotor blade row with a mean magnitude of the relative error (MMRE) of 3.6%. The second model predicts the total pressure ratio with an average accuracy of 0.8%. The third and last model was trained to predict basic geometrical parameters by presenting the load level and the performance data as an input. The achieved MMRE varied between 2.4% and 5.6% in respect of the particular output variable. The results show that ANNs are applicable to develop efficient models for turbomachinery design and analysis purposes, respectively.
Authors and Affiliations
Mark Azzam, Jan-Christoph Haag, Peter Jeschke
Keywords
Related Articles
- EP ID EP74435
- DOI -
- Views 151
- Downloads 0
A meshless method using global radial basis functions for creating 3-D wind fields from sparse meteorological data
An efficient, global meshless method has been developed for creating 3-D wind fields utilizing sparse meteorological tower data. Meshless methods do not require the need for a mesh in order to connect node points. In thi...
Multi-scale modelling of heterogeneous shell structures
This paper reviews multi-scale computational homogenisation frameworks for the non-linear behaviour of heterogeneous thin planar shells. Based on a review of some of the currently available methods, a computational homog...
Modelling dynamics of transmission conductors with Cosserat rod
We proposed a method to analyze the galloping, a vibration by wind force, of transmission conductors. The Cosserat rod model was introduced to describe the motion of the conductor line. The deformation was tracked using...
Identification of solidification process parameters. (Received in the final form November 12, 2010)
In the paper, the identification problems connected with estimation of cast iron and mould thermophysical parameters are discussed. The additional information necessary to solve the problem results from the knowledge of...
Hybrid Monte Carlo method in the reliability analysis of structures
The paper develops the idea of [8], i.e., the application of Artificial Neural Networks (ANNs) in probabilistic reliability analysis of structures achieved by means of Monte Carlo (MC) simulation. In this method, a feed-...