Concurrent Blade Aerodynamic-Aeroelastic Design Optimization With Re-Scaled Response Surface

2014 ◽  
Author(s):  
O. Valero ◽  
L. He ◽  
Y. S. Li
Keyword(s):  
Shape Optimization ◽  
Response Surface ◽  
Optimization Algorithm ◽  
Multidisciplinary Optimization ◽  
Gradient Algorithm ◽  
Optimized Design ◽  
Element Analysis ◽  
Structural Dynamic ◽  
Flow Equations ◽  
Blade Shape

Given the ever increasing demands on turbomachinery performance, various advanced blade shape optimizations have been actively developed and applied in modern blading designs. Multidisciplinary and concurrent optimizations have attracted considerable attention, offering the advantage of disciplinary interactions being included more simultaneously in a design process. This paper presents the development of a multidisciplinary optimization algorithm for the concurrent blade aerodynamic and aeromechanic shape optimization of realistic 3D turbine stages. A non-gradient algorithm is enhanced by a new re-scaled response surface (RSM) model. This meta-model is able to rescale the design space and redefine the response surface during a blade shape optimization process, leading to a much enhanced convergence compared to a standard RSM approach. The optimization algorithm is developed in conjunction with an efficient nonlinear harmonic phase solution method solving the unsteady flow equations in the frequency domain, combined with a finite element analysis (FEA) to extract the structural dynamic characteristics of the blades. The effectiveness of the concurrent method is examined for an optimized design of a realistic LP turbine stage. The optimization goals are the maximization of the isentropic stage efficiency and aeroelastic flutter stability (aero-damping). Two sets of cases are considered. In the first set, the shaping is applied only to stator blades, while for the second set, both stator and rotor blades are shaped. The concurrent cases are compared with their single-disciplinary counterparts. For both sets of the cases, the advantages of the concurrent treatment are clearly demonstrated.

Optimal design of automobile structures using moth-flame optimization algorithm and response surface methodology

2020 ◽  
Vol 62 (4) ◽  
pp. 371-377 ◽  
Author(s):  
Betül Sultan Yıldız
Keyword(s):  
Response Surface Methodology ◽  
Shape Optimization ◽  
Response Surface ◽  
Optimization Algorithm ◽  
Integrated Approach ◽  
Stress Constraint ◽  
Element Analysis ◽  
Component Design ◽  
Automobile Components ◽  
Moth Flame Optimization Algorithm

Abstract In order to present an integrated approach to optimal automobile component design, this research is focused on a shape optimization problem of a bracket using moth-flame optimization algorithm (MFO) and response surface methodology. First, the multiple disc clutch brake problem is optimized using the MFO. Finally, the design problem is posed for shape optimization of the bracket with a mass objective function and a stress constraint. Actual function evaluations are based on finite element analysis while the response surface method is used to obtain the equations for objective and constraint functions. Weight reduction of the bracket is 45.2 % using the MFO. The results show the ability of the MFO to optimize automobile components in the industry.

Sine-cosine optimization algorithm for the conceptual design of automobile components

2020 ◽  
Vol 62 (7) ◽  
pp. 744-748 ◽  
Author(s):  
A. B. S. Yıldız ◽  
N. Pholdee ◽  
S. Bureerat ◽  
A. R. Yıldız ◽  
S. M. Sait
Keyword(s):  
Shape Optimization ◽  
Optimization Algorithm ◽  
Optimization Techniques ◽  
Stress Constraint ◽  
Element Analysis ◽  
Surface Method ◽  
Grasshopper Optimization Algorithm ◽  
Sine Cosine Algorithm ◽  
Automobile Components ◽  
Grasshopper Optimization

Abstract In this paper, the sine-cosine optimization algorithm (SCO) is used to solve the shape optimization of a vehicle clutch lever. The design problem is posed for the shape optimization of a clutch lever with a mass objective function and a stress constraint. Actual function evaluations are based on finite element analysis, while the response surface method is used to obtain the equations for objective and constraint functions. Recent optimization techniques such as the salp swarm algorithm, grasshopper optimization algorithm, and sine-cosine algorithm are used for shape optimization. The results show the ability of the sine-cosine optimization algorithm to optimize automobile components in the industry.

Seagull optimization algorithm for solving real-world design optimization problems

2020 ◽  
Vol 62 (6) ◽  
pp. 640-644 ◽  
Author(s):  
Natee Panagant ◽  
Nantiwat Pholdee ◽  
Sujin Bureerat ◽  
Khon Kaen ◽  
Ali Rıza Yıldız ◽  
...  
Keyword(s):  
Shape Optimization ◽  
Optimization Algorithm ◽  
Optimization Problems ◽  
Kriging Model ◽  
Stress Constraint ◽  
Constraint Function ◽  
Element Analysis ◽  
Structural Shape ◽  
Whale Optimization ◽  
Structural Mass

AbstractIn this research paper, a new surrogate-assisted metaheuristic for shape optimization is proposed. A seagull optimization algorithm (SOA) is used to solve the shape optimization of a vehicle bracket. The design problem is to find structural shape while minimizing structural mass and meeting a stress constraint. Function evaluations are carried out using finite element analysis and estimated by using a Kriging model. The results show that SOA has outstanding features just as the whale optimization algorithm and salp swarm optimization algorithm for designing optimal components in the industry.

Response surface techniques for diffuser shape optimization

AIAA Journal ◽  
2000 ◽  
Vol 38 ◽  
pp. 1512-1518 ◽  
Author(s):  
Jens I. Madsen ◽  
Wei Shyy ◽  
Raphael T. Haftka
Keyword(s):  
Shape Optimization ◽  
Response Surface

scholarly journals Design and Optimization of a Centrifugal Pump for Slurry Transport Using the Response Surface Method

Machines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 60
Author(s):  
Khaled Alawadhi ◽  
Bashar Alzuwayer ◽  
Tareq Ali Mohammad ◽  
Mohammad H. Buhemdi
Keyword(s):  
Response Surface ◽  
Centrifugal Pump ◽  
Industrial Applications ◽  
Pump Efficiency ◽  
Optimized Design ◽  
Centrifugal Pumps ◽  
Local Pressure ◽  
Design And Optimization ◽  
Geometry Characteristic ◽  
Line Design

Since centrifugal pumps consume a mammoth amount of energy in various industrial applications, their design and optimization are highly relevant to saving maximum energy and increasing the system’s efficiency. In the current investigation, a centrifugal pump has been designed and optimized. The study has been carried out for the specific application of transportation of slurry at a flow rate of 120 m3/hr to a head of 20 m. For the optimization process, a multi-objective genetic algorithm (MOGA) and response surface methodology (RSM) have been employed. The process is based on the mean line design of the pump. It utilizes six geometric parameters as design variables, i.e., number of vanes, inlet beta shroud, exit beta shroud, hub inlet blade draft, Rake angle, and the impeller’s rotational speed. The objective functions employed are pump power, hydraulic efficiency, volumetric efficiency, and pump efficiency. In this reference, five different software packages, i.e., ANSYS Vista, ANSYS DesignModeler, response surface optimization software, and ANSYS CFX, were coupled to achieve the optimized design of the pump geometry. Characteristic maps were generated using simulations conducted for 45 points. Additionally, erosion rate was predicted using 3-D numerical simulations under various conditions. Finally, the transient behavior of the pump, being the highlight of the study, was evaluated. Results suggest that the maximum fluctuation in the local pressure and stresses on the cases correspond to a phase angle of 0°–30° of the casing that in turn corresponds to the maximum erosion rates in the region.

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