Automatic optimization design of a feeder extrusion die with response surface methodology and mesh deformation technique

2017 ◽  
Vol 91 (9-12) ◽  
pp. 3181-3193 ◽  
Author(s):  
Cunsheng Zhang ◽  
Shan Yang ◽  
Qingyou Zhang ◽  
Guoqun Zhao ◽  
Ping Lu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Optimization Design ◽  
Mesh Deformation ◽  
Extrusion Die ◽  
Automatic Optimization

Design Technology of Centrifugal Fan Impeller Based on Response Surface Methodology

2010 ◽  
Author(s):  
Changyun Zhu ◽  
Guoliang Qin
Keyword(s):  
Response Surface Methodology ◽  
Objective Function ◽  
Response Surface ◽  
Optimization Design ◽  
Second Order ◽  
Centrifugal Fan ◽  
Least Squares Regression ◽  
Optimization Strategy ◽  
Order Polynomial ◽  
Rsm Model

An optimization strategy called response surface methodology (RSM) is applied to a centrifugal fan impeller optimization design in this paper. RSM is used to generate an approximated model of objective function, for which a second-order polynomial function is chosen. The Design of experiment (DOE) technique coupled with CFD analysis is then ran to generate the database. The least-squares regression method (LS) is used to determine the coefficient of the RSM function. Finally, the Genetic Algorithms (GA) is applied to the objective function in order to obtain the optimal configuration. This paper also presents a solution to the problem of imprecise fitting of second-order RSM model by dividing the zone into several subzones which is proved to be effective in this paper. The optimization result shows that RSM is an effective and feasible optimization strategy for the centrifugal fan impeller design, and the complexity of the objective function and the overall optimization time could be significantly reduced.

scholarly journals Efficient optimized design of solar power tower plants based on successive response surface methodology

2019 ◽  
Vol 14 (4) ◽  
pp. 475-486 ◽  
Author(s):  
Yan Luo ◽  
Yue Hu ◽  
Tao Lu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Optimization Design ◽  
Solar Power ◽  
Computation Time ◽  
Optimized Design ◽  
Cost Of Energy ◽  
Successive Response ◽  
Solar Power Tower ◽  
Global Algorithm

Abstract Recently the optimal design of the solar power tower (SPT) plants have attracted increasing attention. In this paper, an improved algorithm combing the successive response surface methodology (SRSM) and simulated annealing (SA) global algorithm was proposed to achieve the efficient optimization design of the molten salt SPT plant with 2650 heliostats in Sevilla, Spain. Based on the traditional response surface methodology (RSM) and the adaptive domain reduction method, the SRSM was established to surrogate the complex thermo-economic model of the SPT plant to the updated approximation function, which was a high-order polynomial form to define the relationship between the objective parameter of the levelized cost of energy (LCOE) and 12 design variables related to the 4 subsystems of the SPT plant. After that, the SPT plant optimization design was performed by the SA global algorithm on the basis of SRSM. According to a comparison between the results obtained by the proposed method and the actual model-based global algorithm, the high accuracy and low computation time of the proposed strategy was proved.

scholarly journals Optimization design of multistage pump impeller based on response surface methodology

2021 ◽  
pp. 595-609
Author(s):  
Guangjie Peng ◽  
Shiming Hong ◽  
Hao Chang ◽  
Zhuoran Zhang ◽  
Fengyi Fan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Optimization Design ◽  
Pump Impeller ◽  
Multistage Pump
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