An Implementation of Self-Organizing Maps for Airfoil Design Exploration via Multi-Objective Optimization Technique

Jung, Sung-Ki; Choi, Won Sik; Martins-Filho, Luiz S.; Madeira, Fernando

doi:10.5028/jatm.v8i2.585

Cited by 10 publications

(2 citation statements)

References 21 publications

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“…To better reveal the trade-off as well as the correlation between design variables and objectives, self-organizing map (SOM) is deployed for this work. SOM was previously employed in optimization studies including composite curing [50,51], aerostructure design [52] and social science [53]. In this work, SOM is constructed for the first time in the context of composite machining to visuallize the complex interaction between drilling parameters and drilling performance, see Fig.…”

Section: The Pareto Frontmentioning

confidence: 99%

Multi-objective optimization of thermoplastic CF/PEKK drilling through a hybrid method integrating NSGA-II and TOPSIS: an approach towards sustainable manufacturing

Zhang

Luo

et al. 2022

Preprint

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Carbon-fibre-reinforced-polyetherketonketone (CF/PEKK) has attracted increasing interest in the aviation industry due to its self-healing/recycling properties. However, its machining performance is not well understood and there is a lack of optimization study for minimizing its hole damage and improving the production efficiency. Here, we report the first multi-objective optimization study for CF/PEKK drilling. A hybrid optimization algorithm integrating NSGA-II and TOPSIS is deployed to obtain the Pareto solutions and rank the multiple solutions based on closeness to ideal solutions. To highlight the impact of different matrix properties on the optimization outcome, comparative study with conventional thermoset CF/epoxy was carried out for the first time. Experimental validation shows the proposed method can achieve 91.5-95.7% prediction accuracy and the Pareto solutions effectively controlled the delamination and thermal damage within permissible tolerance. The vastly different optimal drilling parameters identified for CF/PEKK and CF/epoxy is attributed to the thermoplastic nature of CF/PEKK with unique thermal/mechanical interaction characteristics.

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Section: The Pareto Frontmentioning

confidence: 99%

Multi-objective optimization of thermoplastic CF/PEKK drilling through a hybrid method integrating NSGA-II and TOPSIS: an approach towards sustainable manufacturing

Zhang

Luo

et al. 2022

Preprint

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“…The PARSEC method has also been used in optimization study of NACA0012 airfoil by using Taguchi method for the optimization process [15]. Moreover, the PARSEC method has been utilized in multi-Objective optimization study in [16]. Furthermore, several studies have also compare the PARSEC method with the other airfoil parameterization methods [9], [18]- [21].…”

mentioning

confidence: 99%

Implementation of the Airfoil parameterization PARSEC Method in Python

Syafei

Indrawati²,

Farhan

2022

j.rekayasa.mesin.

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Airfoil telah mengalami banyak perkembangan dan optimalisasi melalui berbagai cara. Terdapat berbagai teknik yang dapat digunakan untuk memodifikasi bentuk arifoil standar yang ada saat ini. Metode PARSEC merupakan salah satu teknik parameterisasi yang paling banyak digunakan untuk memodifikasi bentuk airfoil. Paper ini menyediakan penjelasan yang komprehensif.mengenai implementasi metode PARSEC pada bahasa pemrograman python. Studi ini menggunakan Airfoil standar jenis NACA0012 sebagai referensi untuk mengevaluasi metode PARSEC. Airfoil NACA0012 yang dihasilkan dari metode PARSEC kemudian di komparasikan dengan airfoil asli dari NACA0012. Diperoleh bahwa metode PARSEC dapat menghasilkan bentuk arifoil NACA0012 sangat identik dengan airofil NACA0012 yang asli. Pada rentang sudut serang tertentu, nilai CL dan CD dari airfoil yang dihasilkan dari metode PARSEC memiliki nilai CL dan CD yang hampir sama dengan nilai CL dan CD dari airfoil NACA0012 yang asli. Kedua airfoil, NACA0012 yang asli atapun yang dihasilkan dari metode PARSEC memiliki sudut serang optimum yang sama, yaitu 8°. Nilai CL/CD maksimum dari NACA0012 yang asli dengan NACA0012 yang dihasilkan dari metode PARSEC secara berturut-turut adalah 84.92 dan 84.28. Diharapkan bahwa studi ini dapat menjadi petunjuk praktis bagi peneliti dan praktisi dalam menggunakan metode PARSEC untuk berbagai kebutuhan.

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Numerical Simulation and Meta Model of Rotorcraft Electrothermal Ice Protection Systems

Myong

Jung²

2023

Handbook of Numerical Simulation of in-Flight Icing

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An Implementation of Self-Organizing Maps for Airfoil Design Exploration via Multi-Objective Optimization Technique

Cited by 10 publications

References 21 publications

Multi-objective optimization of thermoplastic CF/PEKK drilling through a hybrid method integrating NSGA-II and TOPSIS: an approach towards sustainable manufacturing

Multi-objective optimization of thermoplastic CF/PEKK drilling through a hybrid method integrating NSGA-II and TOPSIS: an approach towards sustainable manufacturing

Implementation of the Airfoil parameterization PARSEC Method in Python

Numerical Simulation and Meta Model of Rotorcraft Electrothermal Ice Protection Systems

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