GEO + ES Hybrid Optimization Algorithm Applied to the Parametric Thermal Model Estimation of a 200N Hydrazine Thruster

2011 ◽  
Author(s):  
Roberto Luiz Galski ◽  
Heitor Patire Ju´nior ◽  
Fabiano Luis de Sousa ◽  
Jose´ Nivaldo Hinckel ◽  
Pedro Lacava ◽  
...  
Keyword(s):  
Temperature Profile ◽  
Film Cooling ◽  
Simulated Data ◽  
Convergence Properties ◽  
Extremal Optimization ◽  
Hybrid Optimization Algorithm ◽  
Design Variables ◽  
Desirable Feature ◽  
Self Tuning ◽  
Generalized Extremal Optimization

In the present paper, a hybrid version of the Generalized Extremal Optimization (GEO) and Evolution Strategies (ES) algorithms [1], developed in order to conjugate the convergence properties of GEO with the self-tuning characteristics present in the ES, is applied to the estimation of the temperature distribution of the film cooling near the internal wall of a thruster. The temperature profile is determined through an inverse problem approach using the hybrid. The profile was obtained for steady-state conditions, were the external wall temperature along the thruster is considered as a known input. The Boltzmann’s equation parameters [2], which define the cooling film temperature profile, are the design variables. Results using simulated data showed that this approach was efficient in recuperating those parameters. The approach showed here can be used on the design of thrusters with lower wall temperatures, which is a desirable feature of such devices.

A Multi-Dwell Temperature Profile Design for the Cure of Thick CFRP Composite Laminates

2021 ◽  
Author(s):  
Wenchang Zhang ◽  
Yingjie Xu ◽  
Xinyu Hui ◽  
Weihong Zhang
Keyword(s):  
Temperature Profile ◽  
Composite Laminates ◽  
Optimization Method ◽  
Maximum Temperature ◽  
Nsga Ii ◽  
Multi Objective ◽  
Optimization Result ◽  
Design Variables ◽  
Cure Time ◽  
Thick Laminates

Abstract This paper develops a multi-objective optimization method for the cure of thick composite laminates. The purpose is to minimize the cure time and maximum temperature overshoot in the cure process by designing the cure temperature profile. This method combines the finite element based thermo-chemical coupled cure simulation with the non-dominated sorting genetic algorithm-II (NSGA-II). In order to investigate the influence of the number of dwells on the optimization result, four-dwell and two-dwell temperature profiles are selected for the design variables. The optimization method obtains successfully the Pareto optimal front of the multi-objective problem in thick and ultra-thick laminates. The result shows that the cure time and maximum temperature overshoot are both reduced significantly. The optimization result further illustrates that the four-dwell cure profile is more e ective than the two-dwell, especially for the ultra-thick laminates. Through the optimization of the four-dwell profile, the cure time is reduced by 51.0% (thick case) and 30.3% (ultra-thick case) and the maximum temperature overshoot is reduced by 66.9% (thick case) and 73.1% (ultra-thick case) compared with the recommended cure profile. In addition, Self-organizing map (SOM) is employed to visualize the relationships between the design variables with respect to the optimization result.

Multiobjective generalized extremal optimization algorithm for simulation of daylight illuminants

2017 ◽  
Vol 7 (04) ◽  
pp. 1
Author(s):  
Srividya Ravindra Kumar ◽  
Ciji Pearl Kurian ◽  
Marcos Eduardo Gomes-Borges
Keyword(s):  
Optimization Algorithm ◽  
Extremal Optimization ◽  
Generalized Extremal Optimization

Heat Pipe Design Through Generalized Extremal Optimization

2004 ◽  
Vol 25 (7) ◽  
pp. 34-45 ◽  
Author(s):  
FABIANO LUIS DE SOUSA ◽  
VALERI V. VLASSOV ◽  
FERNANDO MANUEL RAMOS
Keyword(s):  
Heat Pipe ◽  
Extremal Optimization ◽  
Generalized Extremal Optimization

scholarly journals A Thrust Allocation Method for Efficient Dynamic Positioning of a Semisubmersible Drilling Rig Based on the Hybrid Optimization Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Luman Zhao ◽  
Myung-Il Roh
Keyword(s):  
Optimization Algorithm ◽  
Cost Effective ◽  
Hybrid Optimization ◽  
Total Power ◽  
Drilling Rig ◽  
Hybrid Optimization Algorithm ◽  
Allocation Method ◽  
Design Variables ◽  
Total Power Consumption ◽  
Thrust Allocation

A thrust allocation method was proposed based on a hybrid optimization algorithm to efficiently and dynamically position a semisubmersible drilling rig. That is, the thrust allocation was optimized to produce the generalized forces and moment required while at the same time minimizing the total power consumption under the premise that forbidden zones should be taken into account. An optimization problem was mathematically formulated to provide the optimal thrust allocation by introducing the corresponding design variables, objective function, and constraints. A hybrid optimization algorithm consisting of a genetic algorithm and a sequential quadratic programming (SQP) algorithm was selected and used to solve this problem. The proposed method was evaluated by applying it to a thrust allocation problem for a semisubmersible drilling rig. The results indicate that the proposed method can be used as part of a cost-effective strategy for thrust allocation of the rig.

Optimization of a Fan-Shaped Hole for Film Cooling Using a Surrogate Model

2009 ◽  
Author(s):  
Ki-Don Lee ◽  
Kwang-Yong Kim
Keyword(s):  
Film Cooling ◽  
Three Dimensional ◽  
Numerical Procedure ◽  
Latin Hypercube Sampling ◽  
Optimal Point ◽  
Cooling Effectiveness ◽  
Film Cooling Effectiveness ◽  
Injection Angle ◽  
Design Variables ◽  
Shaped Hole

A numerical procedure for shape optimization of a fan-shaped hole is presented to enhance film-cooling effectiveness by combining a three-dimensional Reynolds-averaged Navier-Stokes analysis with the radial neural network method, a well known surrogate modeling technique for optimization. The injection angle of the hole, lateral expansion angle of hole and ratio of length-to-diameter of the hole are chosen as design variables and spatially averaged film-cooling effectiveness is considered as an objective function which is to be maximized. Latin hypercube sampling is used to determine the training points as a mean of the design of experiment. Sequential quadratic programming is used to search for the optimal point from the constructed surrogate. The film-cooling effectiveness has been successfully improved by the optimization with increased values of all design variables as compared to the reference geometry.

scholarly journals A Study on the self-tuning of the design variables and gains using Fuzzy PI+D Controller

2007 ◽  
Vol 17 (3) ◽  
pp. 355-367 ◽  
Author(s):  
Cheol-Su Jang ◽  
Jeong-Won Choi ◽  
Young-Seok Oh ◽  
Seog Chae
Keyword(s):  
The Self ◽  
Design Variables ◽  
Self Tuning

scholarly journals Generalized extremal optimization: An application in heat pipe design

2004 ◽  
Vol 28 (10) ◽  
pp. 911-931 ◽  
Author(s):  
Fabiano Luis de Sousa ◽  
Valeri Vlassov ◽  
Fernando Manuel Ramos
Keyword(s):  
Heat Pipe ◽  
Extremal Optimization ◽  
Generalized Extremal Optimization
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