Inverse airfoil design using variable-resolution models and shape-preserving response prediction

Leifsson, Leifur; Koziel, Slawomir

doi:10.1016/j.ast.2014.05.013

Cited by 9 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Leifsson et al 28 developed a surrogate-based optimisation method for inverse design of transonic airfoils using variable resolution models and shape-preserving response prediction.…”

Section: Surrogate Based Modelsmentioning

confidence: 99%

Mathematical Modeling, Design, and Optimization of Airfoils and Aircrafts Operating at Specific Reynolds Number

Kakade¹,

Seeni²

2022

ECS Trans.

View full text Add to dashboard Cite

Although there are several airfoil designs available to choose from, for the application of aircraft design, the problem of finding the optimal design based on mathematical and physical modeling has not been attempted before. For that purpose, research on existing literature has been done to find the most efficient and optimal airfoil design and optimization technique to be further used for designing and optimizing airfoils. Both physical and mathematical modeling along with other computational algorithms will be used to generate optimal new airfoil designs for high lift and low drag for specific operational conditions.

show abstract

“…Leifsson et al 28 developed a surrogate-based optimisation method for inverse design of transonic airfoils using variable resolution models and shape-preserving response prediction.…”

Section: Surrogate Based Modelsmentioning

confidence: 99%

Mathematical Modeling, Design, and Optimization of Airfoils and Aircrafts Operating at Specific Reynolds Number

Kakade¹,

Seeni²

2022

ECS Trans.

View full text Add to dashboard Cite

show abstract

“…One possibility is analytical design curves that determine the relationships between the performance figures and geometry parameters and permit rapid identification of at least a decent initial design (Caenepeel et al, 2016). Recently, the utilization of inverse surrogate models has been fostered for that purpose (Leifsson and Koziel, 2014), also using variable-fidelity EM simulation models (Ullah et al, 2020).…”

Section: Closure Of Antennasmentioning

confidence: 99%

Fast and reliable knowledge-based design closure of antennas by means of iterative prediction-correction scheme

Kozieł

Pietrenko‐Dabrowska

2021

Self Cite

View full text Add to dashboard Cite

Purpose A novel framework for expedited antenna optimization with an iterative prediction-correction scheme is proposed. The methodology is comprehensively validated using three real-world antenna structures: narrow-band, dual-band and wideband, optimized under various design scenarios. Design/methodology/approach The keystone of the proposed approach is to reuse designs pre-optimized for various sets of performance specifications and to encode them into metamodels that render good initial designs, as well as an initial estimate of the antenna response sensitivities. Subsequent design refinement is realized using an iterative prediction-correction loop accommodating the discrepancies between the actual and target design specifications. Findings The presented framework is capable of yielding optimized antenna designs at the cost of just a few full-wave electromagnetic simulations. The practical importance of the iterative correction procedure has been corroborated by benchmarking against gradient-only refinement. It has been found that the incorporation of problem-specific knowledge into the optimization framework greatly facilitates parameter adjustment and improves its reliability. Research limitations/implications The proposed approach can be a viable tool for antenna optimization whenever a certain number of previously obtained designs are available or the designer finds the initial effort of their gathering justifiable by intended re-use of the procedure. The future work will incorporate response features technology for improving the accuracy of the initial approximation of antenna response sensitivities. Originality/value The proposed optimization framework has been proved to be a viable tool for cost-efficient and reliable antenna optimization. To the knowledge, this approach to antenna optimization goes beyond the capabilities of available methods, especially in terms of efficient utilization of the existing knowledge, thus enabling reliable parameter tuning over broad ranges of both operating conditions and material parameters of the structure of interest.

show abstract

Inverse Airfoil Design Algorithm Based on Multi-output Least-Squares Support Vector Regression Machines

Zhu

Gao

2019

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Inverse airfoil design using variable-resolution models and shape-preserving response prediction

Cited by 9 publications

References 20 publications

Mathematical Modeling, Design, and Optimization of Airfoils and Aircrafts Operating at Specific Reynolds Number

Mathematical Modeling, Design, and Optimization of Airfoils and Aircrafts Operating at Specific Reynolds Number

Fast and reliable knowledge-based design closure of antennas by means of iterative prediction-correction scheme

Inverse Airfoil Design Algorithm Based on Multi-output Least-Squares Support Vector Regression Machines

Contact Info

Product

Resources

About