The turbomachinery cascades design is a typical high dimensional computationally expensive and black box problem, thus a metamodel-based design optimization and data mining method is proposed and programed in this work, which is intended to gain knowledge of design space except for optimal solutions. The method combines a Kriging-based global algorithm with data mining techniques of self-organizing map (SOM), analysis of variance (ANOVA), and parallel axis. NACA Rotor 37, a typical axial transonic rotor blade, is selected for the research. Through SOM analysis, the overall changing trend of performance indicators like isentropic efficiency, total pressure ratio, and so on for the rotor blade is nearly consistent; therefore, a single-objective design for maximizing isentropic efficiency of the rotor blade with constraints prescribed on total pressure ratio and mass flow rate is carried out. The computational fluid dynamics (CFD) evaluations needed for the Kriging-based optimization process amount to only 1/5 of that required when employing a modified differential evolution (DE) algorithm as the optimizer. The isentropic efficiency of related optimal solution is 1.74% higher than the reference design. Then, the interactions among design variables and critical performance indicators as well as common features of better solutions are analyzed via ANOVA and parallel axis. Particularly, an ANOVA-based optimization is tried, which can validate the detected significant variables and gain knowledge of subspace with minimum cost. By integrating data mining results with practical knowledge of aerodynamics, it is confirmed that the shock wave has the most significant influence on the aerodynamic performance of transonic rotor blades. The sweep in tip section is found to be responsible for slight tradeoff relation between isentropic efficiency and total pressure ratio. The combinations of forward lean, thinner section profile near the blade leading edge, and compound sweep are favorable to get better aerodynamic performance, which is validated by the configuration of optimal solution obtained by MBGO algorithm.
Skip Nav Destination
Article navigation
September 2016
Research-Article
Research on Metamodel-Based Global Design Optimization and Data Mining Methods
Liming Song,
Liming Song
Institute of Turbomachinery,
Xi’an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: songlm@mail.xjtu.edu.cn
Xi’an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: songlm@mail.xjtu.edu.cn
Search for other works by this author on:
Zhendong Guo,
Zhendong Guo
Institute of Turbomachinery,
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: ericzhendong@stu.xjtu.edu.cn
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: ericzhendong@stu.xjtu.edu.cn
Search for other works by this author on:
Jun Li,
Jun Li
Professor
Institute of Turbomachinery,
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: junli@mail.xjtu.edu.cn
Institute of Turbomachinery,
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: junli@mail.xjtu.edu.cn
Search for other works by this author on:
Zhenping Feng
Zhenping Feng
Institute of Turbomachinery,
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: zpfeng@mail.xjtu.edu.cn
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: zpfeng@mail.xjtu.edu.cn
Search for other works by this author on:
Liming Song
Institute of Turbomachinery,
Xi’an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: songlm@mail.xjtu.edu.cn
Xi’an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: songlm@mail.xjtu.edu.cn
Zhendong Guo
Institute of Turbomachinery,
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: ericzhendong@stu.xjtu.edu.cn
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: ericzhendong@stu.xjtu.edu.cn
Jun Li
Professor
Institute of Turbomachinery,
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: junli@mail.xjtu.edu.cn
Institute of Turbomachinery,
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: junli@mail.xjtu.edu.cn
Zhenping Feng
Institute of Turbomachinery,
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: zpfeng@mail.xjtu.edu.cn
Xi'an Jiaotong University,
No. 28 Xianning West Road,
Xi'an 710049, China
e-mail: zpfeng@mail.xjtu.edu.cn
1Corresponding author.
Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received December 15, 2015; final manuscript received December 20, 2015; published online March 22, 2016. Editor: David Wisler.
J. Eng. Gas Turbines Power. Sep 2016, 138(9): 092604 (14 pages)
Published Online: March 22, 2016
Article history
Received:
December 15, 2015
Revised:
December 20, 2015
Citation
Song, L., Guo, Z., Li, J., and Feng, Z. (March 22, 2016). "Research on Metamodel-Based Global Design Optimization and Data Mining Methods." ASME. J. Eng. Gas Turbines Power. September 2016; 138(9): 092604. https://doi.org/10.1115/1.4032653
Download citation file:
Get Email Alerts
Condenser Retrofit in Leibstadt Nuclear Power Plant (BWR) - Far Beyond a Standard Modular Solution
J. Eng. Gas Turbines Power
The Manufacturing and Experimental Validation of a Nickel Superalloy Double-Wall, Effusion Test Specimen
J. Eng. Gas Turbines Power
Prediction Enhancement of Machine Learning Using Time Series Modeling in Gas Turbines
J. Eng. Gas Turbines Power
Innovative Air Bypass System For Low-Emission Multi Can Combustors
J. Eng. Gas Turbines Power
Related Articles
Multi-Objective Aerodynamic Optimization Design and Data Mining of a High Pressure Ratio Centrifugal Impeller
J. Eng. Gas Turbines Power (September,2015)
Aerodynamic Design Optimization of an Axial Flow Compressor Stator Using Parameterized Free-Form Deformation
J. Eng. Gas Turbines Power (October,2019)
Shapley Additive Explanations of Multigeometrical Variable Coupling Effect in Transonic Compressor
J. Eng. Gas Turbines Power (April,2022)
Wind Turbine Design Optimization Under Environmental Uncertainty
J. Eng. Gas Turbines Power (August,2016)
Related Proceedings Papers
Related Chapters
Research on Transfer Performance of Hidden Human Capital of Elderly Technological Talents Based on Effective Media Richness
International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)
Aerial Image Classification Using Fuzzy Miner
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
Introduction
Turbine Aerodynamics: Axial-Flow and Radial-Flow Turbine Design and Analysis