A Study on Multidisciplinary Optimization of an Axial Compressor Blade Based on Evolutionary Algorithms

2012 ◽  
Vol 134 (5) ◽  
Author(s):  
Chang Luo ◽  
Liming Song ◽  
Jun Li ◽  
Zhenping Feng
Keyword(s):  
Evolutionary Algorithms ◽  
Optimization Design ◽  
Maximum Stress ◽  
Mechanical Performance ◽  
Axial Compressor ◽  
Optimization Method ◽  
Compressor Blade ◽  
Multidisciplinary Optimization ◽  
Frequency Constraint ◽  
Isentropic Efficiency

An aerodynamic single disciplinary optimization and an aerodynamic/structural multidisciplinary optimization of an axial compressor blade are performed using evolutionary algorithms in this paper. The blade is optimized for maximizing its isentropic efficiency in the aerodynamic single disciplinary optimization. The isentropic efficiency of the optimum blade obtained from the aerodynamic single disciplinary optimization is 1.65% higher than that of the reference blade, however, the mechanical performance analysis indicates that it has a higher stress distribution and does not satisfy the vibration frequency constraint. In the multidisciplinary optimization, the maximum of the isentropic efficiency and the minimization of the maximum stress are selected as the design objectives. The analysis results indicate that the method of dealing with minimization of the maximum stress as a design objective is proper and that the presented multiobjective and multidisciplinary optimization method is more suitable for the optimization design of a real turbomachinery blade than the traditional heuristic aerodynamic-structural iteration.

Optimization design of bonnet inner based on pedestrian head protection and stiffness requirements

2017 ◽  
Vol 06 (01) ◽  
pp. 1750005 ◽  
Author(s):  
Xiongqi Peng ◽  
Purit Thanakijkasem ◽  
Xiaomin Zeng ◽  
Hongsheng Lu
Keyword(s):  
Optimization Design ◽  
Parametric Design ◽  
Optimization Method ◽  
Multidisciplinary Optimization ◽  
Fe Model ◽  
Optimization Analysis ◽  
Stiffness Analysis ◽  
Design And Optimization ◽  
Car Accidents ◽  
Head Protection

Head impact with bonnet is one of the major causes for pedestrian severe injury or fatality in car accidents. This paper proposes a multidisciplinary design optimization method for bonnet inner based on pedestrian head protection along with bonnet stiffness requirement. A finite element (FE) model of a child headform impactor is developed and verified via simulation according to Global Technical Regulation No. 9 (GTR No. 9). Static stiffness analysis and headform collision simulation against one impact point for a particular bonnet are implemented. Parametric design and optimization analysis are carried out. Optimization solution significantly achieves a better head protection effect, which clearly affirms the feasibility of the proposed multidisciplinary optimization method and provides a reference approach to optimal design of engine bonnet inner.

scholarly journals The optimization design of the triangular mesh of the lamella ellipsoid reticulated shell and the comparative analysis of its static performance

2020 ◽  
Vol 165 ◽  
pp. 06054
Author(s):  
Shuai Chong ◽  
Lili Huang ◽  
Junchao Cao ◽  
Xiaoyang Lu
Keyword(s):  
Mechanical Properties ◽  
Comparative Analysis ◽  
Optimization Design ◽  
Mechanical Performance ◽  
Parametric Design ◽  
Isosceles Triangle ◽  
Optimization Method ◽  
Triangle Mesh ◽  
Ansys Software ◽  
Static Performance

Using the traditional geometric principle and ANSYS software Parametric Design Language (APDL), the optimization method is given for the triangular shell mesh of lamella ellipsoid. The mechanical properties of two types of ellipsoidal reticulated shells, optimized isosceles shell (OIS) and traditional shell (TS), are analyzed by comparison with ANSYS software. The results show that the ellipsoidal reticulated shell composed of an optimized isosceles triangle mesh has better mechanical performance and is widely used in engineering.

Optimization of a Centrifugal Impeller Using Evolutionary Algorithms

2008 ◽  
Author(s):  
Andreas Bartold ◽  
Franz Joos
Keyword(s):  
Evolutionary Algorithms ◽  
Three Dimensional ◽  
Optimization Method ◽  
Navier Stokes ◽  
Centrifugal Impeller ◽  
Aerodynamic Design ◽  
B Spline ◽  
Spline Curves ◽  
Automated Optimization ◽  
Isentropic Efficiency

This paper presents the development and application of an automated optimization method for aerodynamic design of centrifugal impellers. The algorithm used for the optimization is an evolutionary algorithm. Within this method the shape of the centrifugal impeller is described using B-Spline curves. The method introduced is used for redesigning an existing impeller with regard to maximization of the isentropic efficiency at a fixed operating point. Here the isentropic efficiency is calculated using the solution of a compressible three-dimensional Reynolds-averaged Navier-Stokes solver. The presentation will show that the method presented provides a new design that outperforms the original impeller with respect to the particular objective and demonstrates its usefulness.

Analysis and Stress Optimization Design of an S-Shaped Micro Spring

2010 ◽  
Vol 97-101 ◽  
pp. 2500-2504
Author(s):  
Li Shun Li ◽  
Xiang De Meng ◽  
Hong Xun Li
Keyword(s):  
Optimization Design ◽  
Maximum Stress ◽  
Mechanical Performance ◽  
Fem Simulation ◽  
Micro Electro Mechanical System ◽  
The Finite Element Method ◽  
Mems Technology ◽  
Stress Optimization ◽  
The Difference ◽  
Spring Coefficient

The stress distribution of an S-shaped micro spring fabricated by the micro-electro-mechanical-system (MEMS) technology was analyzed by the finite-element method (FEM) using ANSYS software, which showed that the stress concentration is located in the inner corner of the turning round. To reduce the maximum stress but not change the spring coefficient, an optimization S-shaped micro spring with the slope cross section was designed. The width of one end of the turning round is increased from the original 80μm to 100μm, while the other is decreased from 80μm to 21.5μm. The spring coefficient formula of the optimization S-shaped micro spring was calculated out by the Castigliano second law, and the difference between the formula and the FEM is 2.7%. At the same time the FEM simulation shows that the maximum stress of the optimization S-shaped micro spring can be reduced by 32.7% while the spring coefficient is the same comparing with the primary S-shaped micro spring, which shows that the mechanical performance of the optimization S-shaped micro spring is better than that of the primary S-shaped micro spring.

Design Optimization of Axial-Flow Pump Blades Based on iSIGHT

2015 ◽  
Author(s):  
Lijian Shi ◽  
Fangping Tang ◽  
Rongsheng Xie ◽  
Lilong Qi ◽  
Zhengdong Yang
Keyword(s):  
Numerical Simulation ◽  
Numerical Optimization ◽  
Optimization Design ◽  
Axial Flow ◽  
Optimization Method ◽  
Simulation Software ◽  
Multidisciplinary Optimization ◽  
Design Parameters ◽  
Axial Flow Pump ◽  
Flow Pump

This paper research the influence of cascade dense degree and airfoil placed angle on hydralic performance of axial flow pump blades. Which combines the numerical optimization technology with the advanced CFD simulation technique, replaces designers’ experience by mathematical models for controlling of the blade design direction. Finally, a platform for of the optimization design of axial-flow pump blades is built in this paper. The platform which based on the multidisciplinary optimization software iSIGHT is to design and optimize the axial flow blades. The automatic optimization design platform for axial-flow blade was established, in which the parameterization modeling, mesh, flow computation and numerical optimization are combined together. The use of the numerical simulation software CFD for disciplinary analysis improved the reliability and accuracy of the results of the prediction model. Found the approximate geometric design parameters of the design conditions based on numerical simulation, and the technology of numerical optimization was used for constrained optimized analysis based on these parameters. Optimized impeller efficiency improved about 0.7% while satisfying the constraint condition, shows that the optimization method for axial flow blade base on iSIGHT platform is effective and feasible. Meanwhile, the optimization method can greatly shorten the design cycle, reduce design cost optimization.

Research on the Multidisciplinary Optimization Design Method for the Diesel Engine

2011 ◽  
Vol 84-85 ◽  
pp. 3-7
Author(s):  
Meng Sheng Wang ◽  
Rui Ping Zhou ◽  
Xiang Xu
Keyword(s):  
Diesel Engine ◽  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Optimization Design ◽  
Design Method ◽  
Optimization Method ◽  
Multidisciplinary Optimization ◽  
Design Parameters ◽  
Technical Performance ◽  
The Mathematical Model

Multidisciplinary Design Optimization (MDO) is a new method for achieving an overall optimum design of the complex system. In this paper have researched how to make the mathematical model of the diesel engine system in the CO (Coordination Design Optimization) method, and applied it in the actual practice. The application result demonstrates that in this optimization method, we can achieve the optimal design of this diesel engine by the coordination of rationally configuring the design parameters, and improve the economy, the technical performance, the reliability and the service life of the designed engine.

Multidisciplinary Optimization Design of Long Blade Turbine Stage Based on Parallel Self-Adaptive Multi-Objective Differential Evolution Algorithm

2016 ◽  
Author(s):  
Jun Li ◽  
Bin Li ◽  
Liming Song ◽  
Zhenping Feng
Keyword(s):  
Rotor Blade ◽  
Optimization Design ◽  
Mechanical Performance ◽  
Three Dimensional ◽  
Multidisciplinary Optimization ◽  
Steam Turbines ◽  
Turbine Stage ◽  
Pareto Solutions ◽  
Optimization System ◽  
Multi Objective

An automated multidisciplinary optimization system for multi-objective design of the long blade turbine stage for steam turbines is developed in this paper. The Self-adaptive Multi-objective Differential Evolution (SMODE) algorithm, cubic non-uniform B-Spline curves based on surface modeling technology for three-dimensional turbine blade parameterization method, aerodynamic and mechanical performance of long blade turbine stage evaluation approach are coupled in the presented multidisciplinary optimization system. The aerodynamic performance of long blade turbine stage design candidates is evaluated using three-dimensional Reynolds-Averaged Navier-Stokes (RANS) solutions. The mechanical performance of the designed long rotor blade is analyzed using Finite Element Analysis (FEA) method based on the software ANSYS. Multi-objective design of long blade turbine stage is conducted using the developed multidisciplinary optimization methodology for the maximization of specific power and minimization of maximum Von Mises Stress with constraints on mass flow rate. The design variables are specified by the stator and rotor blade parameterization method. The Pareto solutions of the multidisciplinary optimization design for the long blade turbine stage are obtained. The aerodynamic and strength performance of obtained Pareto solutions improves obviously by comparison of the referenced design. The dynamic frequency with pre-stress of the referenced and optimized long rotor blade is also calculated in order to avoid resonance. The availability of the presented multidisciplinary optimization system for multi-objective design of long blade turbine stage for steam turbines is also demonstrated.

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

2021 ◽  
Vol 11 (13) ◽  
pp. 5838
Author(s):  
Liang Xu ◽  
Qingyun Shen ◽  
Qicheng Ruan ◽  
Lei Xi ◽  
Jianmin Gao ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Gas Turbine ◽  
Optimization Design ◽  
Mechanical Performance ◽  
Optimization Problems ◽  
Lattice Structure ◽  
Turbine Blades ◽  
Optimization Method ◽  
Internal Cooling ◽  
Geometric Variables

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 (freq1), elasticity modulus (E), relative density (ρ¯), and Nusselt number (Nu), 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, Nu increases by 24.1% and ρ¯ decreases by 31% in the optimal LS of the first selected problem, and the Nu increases by 28.8% while freq1 and ρ¯ 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.

Novel Compressor Blade Shaping Through a Free-Form Method

2017 ◽  
Vol 139 (8) ◽  
Author(s):  
Alistair John ◽  
Shahrokh Shahpar ◽  
Ning Qin
Keyword(s):  
Axial Compressor ◽  
Optimization Method ◽  
Aerodynamic Performance ◽  
Compressor Blade ◽  
Free Form ◽  
The Novel ◽  
Surface Sensitivity ◽  
Free Form Deformation ◽  
Blade Shape ◽  
Novel Design

This paper describes the use of the free-form-deformation (FFD) parameterization method to create a novel blade shape for a highly loaded, transonic axial compressor. The novel geometry makes use of precompression (via an S-shaping of the blade around midspan) to weaken the shock and improve the aerodynamic performance. It is shown how free-form-deformation offers superior flexibility over traditionally used parameterization methods. The novel design (produced via an efficient optimization method) is presented and the resulting flow is analyzed in detail. The efficiency benefit is over 2%, surpassing other results in the literature for the same geometry. The precompression effect of the S-shape is analyzed and explained, and the entropy increase across the shock (along the midblade line) is shown to be reduced by almost 80%. Adjoint surface sensitivity analysis of the datum and optimized designs is presented, showing that the S-shape is located in the region predicted to be most significant for changes in efficiency. Finally, the off-design performance of the blade is analyzed across the rotor characteristics at various speeds.

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