Energy-Represented Direct Inversion in the Iterative Subspace within a Hybrid Geometry Optimization Method

2006 ◽  
Vol 2 (3) ◽  
pp. 835-839 ◽  
Author(s):  
Xiaosong Li ◽  
Michael J. Frisch
Keyword(s):  
Geometry Optimization ◽  
Optimization Method ◽  
Direct Inversion

scholarly journals Efficient Multi-Objective CFD-Based Optimization Method for a Scroll Distributor

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 377
Author(s):  
Damian Obidowski ◽  
Mateusz Stajuda ◽  
Krzysztof Sobczak
Keyword(s):  
Energy Savings ◽  
Axisymmetric Flow ◽  
Geometry Optimization ◽  
Optimization Method ◽  
Problem Size ◽  
Computational Point ◽  
Multi Objective ◽  
Flow Problems ◽  
Multi Objective Genetic Algorithm ◽  
Separation Zones

An efficient approach to the geometry optimization problem of a non-axisymmetric flow channel is discussed. The method combines geometrical transformation with a computational fluid dynamics solver, a multi-objective genetic algorithm, and a response surface. This approach, through geometrical modifications and simplifications allows transforming a non-axisymmetric problem into the axisymmetric one in some specific devices i.e., a scroll distributor or a volute. It results in a significant decrease in the problem size, as only the flow in a quasi-2D section of the channel is solved. A significantly broader design space is covered in a much shorter time than in the standard method, and the optimization of large flow problems is feasible with desktop-class computers. One computational point is obtained approximately eight times faster than in full geometry computations. The method was applied to a scroll distributor. For the case under analysis, it was possible to increase flow uniformity, eradicate separation zones, and increase the overall efficiency, which was followed by energy savings of 16% for the scroll. The results indicate that this method can be successfully applied for the optimization of similar problems.

Optimal design of nonlinear large-scale suspendome using cascade optimization

2017 ◽  
Vol 33 (1) ◽  
pp. 3-18 ◽  
Author(s):  
Ali Kaveh ◽  
Masoud Rezaei ◽  
MR Shiravand
Keyword(s):  
Optimal Design ◽  
Large Scale ◽  
Simple Procedure ◽  
Geometry Optimization ◽  
Steel Structures ◽  
Optimization Method ◽  
Scale Space ◽  
Cross Sectional ◽  
Colliding Bodies Optimization ◽  
Design Variables

Large-scale suspendomes are elegant architectural structures which cover a vast area with no interrupting columns in the middle. These domes have attractive shapes which are also economical. Domes are built in a wide variety of forms. In this article, an algorithm is developed for optimum design of domes considering the topology, geometry, and size of member section using the cascade-enhanced colliding bodies optimization method. In large-scale space steel structures, a large number of design variables are involved. The idea of cascade optimization allows a single optimization problem to be tackled in a number of successive autonomous optimization stages. The variables are the optimum height of crown and tubular sections of these domes, the initial strain, the length of the struts, and the cross-sectional areas of the cables in the tensegrity system of domes. The number of joints in each ring and the number of rings are considered for topology optimization of ribbed and Schwedler domes. Weight of the dome is taken as the objective function for minimization. A simple procedure is defined to determine the configuration of the domes. The design constraints are considered according to the provisions of Load and Resistance Factor Design–American Institute of Steel Constitution. In order to investigate the efficiency of the presented method, a large-scale suspendome with more than 2266 members is investigated. Numerical results show that the utilized method is an efficient tool for optimal design of large-scale domes. Additionally, in this article, a topology and geometry optimization for two common ribbed and Schwedler domes are performed to find their optimum graphs considering various spans.

scholarly journals Improving Performance of a Resonant String-Based Pulsation Attenuator in Hydraulic Systems

2020 ◽  
Vol 10 (23) ◽  
pp. 8526
Author(s):  
Xia Shang ◽  
Hua Zhou ◽  
Huayong Yang
Keyword(s):  
Particle Swarm Optimization ◽  
Power Systems ◽  
Geometry Optimization ◽  
Optimization Method ◽  
Hydraulic Systems ◽  
Optimization Strategy ◽  
Swarm Optimization ◽  
Noise And Vibration ◽  
Speed Up ◽  
Fluid Power Systems

Hydraulic pulsation attenuators (HPA) are commonly used to suppress the noise and vibration in fluid power systems. However, most existing HPAs lack a reasonable optimization strategy and effective methods to improve the performance of HPAs. This paper proposes an adaptive particle swarm optimization (APSO) algorithm to speed up the geometry optimization process of a resonant string-based compound HPA (RSHPA), which was proposed in our previous work. Then, the study discusses the possibility of improving the performance of RSHPA by varying the configuration and location of the RSHPA. The experiment result validates the feasibility of the proposed optimization method for RSHPA.

A Methodology for Variable Geometry Optimization of Multistage Axial Compressors

2017 ◽  
Author(s):  
M. Eric Lyall ◽  
Fred J. Eisert ◽  
Douglas C. Rabe ◽  
Patrick M. Fleisher
Keyword(s):  
Design Of Experiments ◽  
Pressure Ratio ◽  
Geometry Optimization ◽  
Axial Compressor ◽  
Optimization Method ◽  
Variable Geometry ◽  
Factorial Design Of Experiments ◽  
Stage Matching ◽  
The Impact ◽  
Corrected Flow

This paper presents a procedure for experimentally optimizing a multistage axial compressor. Due to the usual proprietary nature of such tests, a mean-line model of a nine-stage compressor with three rows of variable geometry is used instead of a real machine as a testbed for explaining the optimization method. The compressor is optimized to achieve design-intent corrected flow and pressure ratio while achieving acceptable efficiency and stage matching. The optimization is performed using a response surface methodology that leverages a full factorial design of experiments approach. The resulting empirical models of compressor performance are of high quality, with coefficients of determination exceeding 0.99. An important finding of the work is that stage interactions are important for modeling both efficiency and stage matching, much more than for corrected flow and pressure ratio. Additionally the empirical equations resulting from the design of experiments analysis provide sensitivities due to changes in the variable geometry. These sensitivities can be applied to understanding the impact of uncertainties related to rigging the variable geometry and for assessing potential new or upgraded compressor designs.

Geometry Optimization without Spin Contamination Error - Approximately Spin Projected Optimization Method -

2007 ◽  
Author(s):  
Y. Kitagawa ◽  
T. Saito ◽  
Y. Nakanishi ◽  
M. Ito ◽  
M. Shoji ◽  
...  
Keyword(s):  
Geometry Optimization ◽  
Optimization Method ◽  
Spin Contamination

scholarly journals Geometry Optimization of Supersonic Wind Tunnel Nozzle 2nd Report Verification of Optimization Method.

2003 ◽  
Vol 69 (680) ◽  
pp. 861-867 ◽  
Author(s):  
Ryo NOMURA ◽  
Hideki KAWAMOTO ◽  
Takeshi YONEDA ◽  
Mitsunori WATANABE ◽  
Atsushi TATE ◽  
...  
Keyword(s):  
Wind Tunnel ◽  
Geometry Optimization ◽  
Optimization Method ◽  
Supersonic Wind Tunnel
Sign in / Sign up

Export Citation Format

Share Document