scholarly journals Multiobjective Design Optimization of Supersonic Jet Engine in Different Cruise Mach Numbers

2009 ◽  
Vol 57 (670) ◽  
pp. 453-460 ◽  
Author(s):  
Masamichi OGAWA ◽  
Tetsuya SATO ◽  
Hiroaki KOBAYASHI ◽  
Hideyuki TAGUCHI
Keyword(s):  
Design Optimization ◽  
Supersonic Jet ◽  
Jet Engine ◽  
Mach Numbers ◽  
Multiobjective Design

Multiobjective design optimization of CFRP isogrid tubes using sunflower optimization based on metamodel

2021 ◽  
Vol 249 ◽  
pp. 106508
Author(s):  
Matheus Brendon Francisco ◽  
João Luiz Junho Pereira ◽  
Guilherme Antônio Oliver ◽  
Fernando Helton Sanches da Silva ◽  
Sebastião Simões da Cunha ◽  
...  
Keyword(s):  
Design Optimization ◽  
Multiobjective Design

Multiphysics field analysis and multiobjective design optimization: a benchmark problem

2013 ◽  
Vol 22 (7) ◽  
pp. 1214-1225 ◽  
Author(s):  
P. Di Barba ◽  
I. Dolezel ◽  
P. Karban ◽  
P. Kus ◽  
F. Mach ◽  
...  
Keyword(s):  
Design Optimization ◽  
Field Analysis ◽  
Benchmark Problem ◽  
Multiobjective Design

Multiobjective design optimization of stent geometry with wall deformation for triangular and rectangular struts

2018 ◽  
Vol 57 (1) ◽  
pp. 15-26 ◽  
Author(s):  
Narendra Kurnia Putra ◽  
Pramudita Satria Palar ◽  
Hitomi Anzai ◽  
Koji Shimoyama ◽  
Makoto Ohta
Keyword(s):  
Design Optimization ◽  
Stent Geometry ◽  
Wall Deformation ◽  
Multiobjective Design

Multiobjective Design Optimization of Microchannel Cooling System Using High Performance Thermal Vias in LTCC Substrates

2013 ◽  
Vol 10 (1) ◽  
pp. 40-47 ◽  
Author(s):  
Aparna Aravelli ◽  
Singiresu S. Rao ◽  
Hari K. Adluru
Keyword(s):  
Heat Transfer ◽  
Design Optimization ◽  
High Performance ◽  
Cooling System ◽  
Optimization Technique ◽  
Optimization Theory ◽  
Thermal Design ◽  
Design Variables ◽  
Microchannel Cooling ◽  
Multiobjective Design

Increased heat generation in semiconductor devices for demanding applications leads to the investigation of highly efficient cooling solutions. Effective options for thermal management include passing of cooling liquid through the microchannel heat sink and using highly conductive materials. In the author's previous work, experimental and computational analyses were performed on LTCC substrates using embedded silver vias and silver columns forming microchannels. This novel technique of embedding silver vias along with forced convection using a coolant resulted in higher heat transfer rates. The present work investigates the design optimization of this cooling system (microheat exchanger) using systems optimization theory. A new multiobjective optimization problem was formulated for the heat transfer in the LTCC model using the log mean temperature difference (LMTD) method of heat exchangers. The goal is to maximize the total heat transferred and to minimize the coolant pumping power. Structural and thermal design variables are considered to meet the manufacturability and energy requirements. Pressure loss and volume of the silver metal are used as constraints. A hybrid optimization technique using sequential quadratic programming (SQP) and branch and bound method of integer programming has been developed to solve the microheat exchanger problem. The optimal design is presented and sensitivity analysis results are discussed.

scholarly journals Multiobjective Design Optimization Framework for Multicomponent System with Complex Nonuniform Loading

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Hong Zhang ◽  
Guangchen Bai ◽  
Lukai Song
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Design Optimization ◽  
Optimal Algorithm ◽  
Multicomponent System ◽  
Kriging Model ◽  
Surface Model ◽  
Optimization Framework ◽  
Comparison Results ◽  
Multiobjective Design

To improve the accuracy and efficiency of multiobjective design optimization for a multicomponent system with complex nonuniform loads, an efficient surrogate model (the decomposed collaborative optimized Kriging model, DCOKM) and an accurate optimal algorithm (the dynamic multiobjective genetic algorithm, DMOGA) are presented in this study. Furthermore, by combining DCOKM and DMOGA, the corresponding multiobjective design optimization framework for the multicomponent system is developed. The multiobjective optimization design of the carrier roller system is considered as a study case to verify the developed approach with respect to multidirectional nonuniform loads. We find that the total standard deviation of three carrier rollers is reduced by 92%, where the loading distribution is more uniform after optimization. This study then compares surrogate models (response surface model, Kriging model, OKM, and DCOKM) and optimal algorithms (neighbourhood cultivation genetic algorithm, nondominated sorting genetic algorithm, archive microgenetic algorithm, and DMOGA). The comparison results demonstrate that the proposed multiobjective design optimization framework is demonstrated to hold advantages in efficiency and accuracy for multiobjective optimization.

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