Multidisciplinary design optimization of twin-web turbine disk with pin fins in inner cavity
- 1. Department of Engineering Mechanics, Northwestern Polytechnical University, Xi'an 710129 (China)
- 2. School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710129 (China)
Description
To enhance convective heat transfer and reduce the working temperature, a novel twin-web turbine disk with staggered pin fins arranged in the inner cavity and near the outlet is developed. Compared to the traditional single web turbine disk, the numerical analysis result shows that the maximum temperature of the disk and the region with the maximum temperature at the disk rim decrease, and the low-temperature region at the twin-web increases. Considering the convective heat transfer analysis, a strength analysis with temperature interpolation by the inverse distance-weighted average method and a multidisciplinary analysis of the novel twin-web turbine disk are implemented. A Pareto analysis shows that the diameter and radial distance of the pin fin significantly affect the temperature and stress of the turbine disk. Based on the kriging model, the multidisciplinary design optimization of the novel turbine disk is performed, in which the optimization objectives are the minimum weight and minimum temperature obtainable under the stress constraints. The optimal result reduces the mass of the turbine disk and improves its temperature and structural stress, which has potential applications in high-performance aero engines.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.applthermaleng.2019.114104Additional details
Identifiers
- DOI
- 10.1016/j.applthermaleng.2019.114104;
- PII
- S1359431119317508;
Publishing Information
- Journal Title
- Applied Thermal Engineering
- Journal Volume
- 161
- Journal Page Range
- vp.
- ISSN
- 1359-4311
- CODEN
- ATENFT
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54124461
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- DESIGN; HEAT TRANSFER; INTERPOLATION; KRIGING; NUMERICAL ANALYSIS; OPTIMIZATION; PERFORMANCE; TURBINES
- Descriptors DEC
- ENERGY TRANSFER; EQUIPMENT; MACHINERY; MATHEMATICAL SOLUTIONS; MATHEMATICS; NUMERICAL SOLUTION; STATISTICS; TURBOMACHINERY
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier Ltd. All rights reserved.