Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade

Recently, the inlet temperatures in gas turbine units have been drastically increased, which extremely affects the lifespan of gas turbine blades. Traditional cooling structures greatly improve the high temperature resistance of the blade; however, these structures scarcely concern both heat transfe...

Full description

Bibliographic Details
Main Authors: Liang Xu, Qingyun Shen, Qicheng Ruan, Lei Xi, Jianmin Gao, Yunlong Li
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/13/5838
_version_ 1797529047375282176
author Liang Xu
Qingyun Shen
Qicheng Ruan
Lei Xi
Jianmin Gao
Yunlong Li
author_facet Liang Xu
Qingyun Shen
Qicheng Ruan
Lei Xi
Jianmin Gao
Yunlong Li
author_sort Liang Xu
collection DOAJ
description Recently, the inlet temperatures in gas turbine units have been drastically increased, which extremely affects the lifespan of gas turbine blades. Traditional cooling structures greatly improve the high temperature resistance of the blade; however, these structures scarcely concern both heat transfer and mechanical performances. Lattice structure (LS) can realize these requirements because of its characteristics of light weight, high strength, and porosity. Although the topology of LS is complex, it can be manufactured with the 3D metal printing technology. In this study, an integral optimization method of lattice cooling structure, used at the trailing edge of turbine blades, concerned with heat transfer and mechanical performance, was presented. Firstly, functions between the first-order natural frequency (<i>freq</i>1), elasticity modulus (<i>E</i>), relative density (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mi>ρ</mi><mo stretchy="true">¯</mo></mover></mrow></semantics></math></inline-formula>), and Nusselt number (<i>Nu</i>), and the geometric variables of pyramid type LS (PLS) and X-type LS (XLS) were established, and the reliability of these functions was verified. Then, a mathematical optimization model was developed based on these functions which contained two selected optimization problems. Finally, relations among objectives were analyzed; influence law of geometric variables to objectives were discussed, and the accuracy of the optimal LS was proved by experiment and numerical simulation. The optimization results suggest that, compared to the initial LS, <i>Nu</i> increases by 24.1% and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mi>ρ</mi><mo stretchy="true">¯</mo></mover></mrow></semantics></math></inline-formula> decreases by 31% in the optimal LS of the first selected problem, and the <i>Nu</i> increases by 28.8% while <i>freq</i>1 and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mi>ρ</mi><mo stretchy="true">¯</mo></mover></mrow></semantics></math></inline-formula> are almost unchanged in the optimal LS of the second selected problem compared to the initial LS. This study may provide a guidance for functions integration design of lattice cooling structures used at turbine blades based on 3D printing.
first_indexed 2024-03-10T10:07:56Z
format Article
id doaj.art-dd3a72bba8124a26b32ccecabaff9764
institution Directory Open Access Journal
issn 2076-3417
language English
last_indexed 2024-03-10T10:07:56Z
publishDate 2021-06-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj.art-dd3a72bba8124a26b32ccecabaff97642023-11-22T01:25:59ZengMDPI AGApplied Sciences2076-34172021-06-011113583810.3390/app11135838Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine BladeLiang Xu0Qingyun Shen1Qicheng Ruan2Lei Xi3Jianmin Gao4Yunlong Li5State Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaRecently, the inlet temperatures in gas turbine units have been drastically increased, which extremely affects the lifespan of gas turbine blades. Traditional cooling structures greatly improve the high temperature resistance of the blade; however, these structures scarcely concern both heat transfer and mechanical performances. Lattice structure (LS) can realize these requirements because of its characteristics of light weight, high strength, and porosity. Although the topology of LS is complex, it can be manufactured with the 3D metal printing technology. In this study, an integral optimization method of lattice cooling structure, used at the trailing edge of turbine blades, concerned with heat transfer and mechanical performance, was presented. Firstly, functions between the first-order natural frequency (<i>freq</i>1), elasticity modulus (<i>E</i>), relative density (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mi>ρ</mi><mo stretchy="true">¯</mo></mover></mrow></semantics></math></inline-formula>), and Nusselt number (<i>Nu</i>), and the geometric variables of pyramid type LS (PLS) and X-type LS (XLS) were established, and the reliability of these functions was verified. Then, a mathematical optimization model was developed based on these functions which contained two selected optimization problems. Finally, relations among objectives were analyzed; influence law of geometric variables to objectives were discussed, and the accuracy of the optimal LS was proved by experiment and numerical simulation. The optimization results suggest that, compared to the initial LS, <i>Nu</i> increases by 24.1% and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mi>ρ</mi><mo stretchy="true">¯</mo></mover></mrow></semantics></math></inline-formula> decreases by 31% in the optimal LS of the first selected problem, and the <i>Nu</i> increases by 28.8% while <i>freq</i>1 and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mi>ρ</mi><mo stretchy="true">¯</mo></mover></mrow></semantics></math></inline-formula> are almost unchanged in the optimal LS of the second selected problem compared to the initial LS. This study may provide a guidance for functions integration design of lattice cooling structures used at turbine blades based on 3D printing.https://www.mdpi.com/2076-3417/11/13/5838lattice cooling structureheat transfer and mechanical performancesintegral optimization methodfunctions integration design
spellingShingle Liang Xu
Qingyun Shen
Qicheng Ruan
Lei Xi
Jianmin Gao
Yunlong Li
Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade
Applied Sciences
lattice cooling structure
heat transfer and mechanical performances
integral optimization method
functions integration design
title Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade
title_full Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade
title_fullStr Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade
title_full_unstemmed Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade
title_short Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade
title_sort optimization design of lattice structures in internal cooling channel of turbine blade
topic lattice cooling structure
heat transfer and mechanical performances
integral optimization method
functions integration design
url https://www.mdpi.com/2076-3417/11/13/5838
work_keys_str_mv AT liangxu optimizationdesignoflatticestructuresininternalcoolingchannelofturbineblade
AT qingyunshen optimizationdesignoflatticestructuresininternalcoolingchannelofturbineblade
AT qichengruan optimizationdesignoflatticestructuresininternalcoolingchannelofturbineblade
AT leixi optimizationdesignoflatticestructuresininternalcoolingchannelofturbineblade
AT jianmingao optimizationdesignoflatticestructuresininternalcoolingchannelofturbineblade
AT yunlongli optimizationdesignoflatticestructuresininternalcoolingchannelofturbineblade