Performance Optimization of Hydrocyclone Manifold with Generative Design and CFD-Thermal Simulation Integration

Yıl 2025, Cilt: 2 Sayı: 2, 62 - 66, 30.10.2025

Ahmet Çağrı Çağlıyan , Fikret Kemal Akyüz , Ahmet Feyzioğlu , Sezgin Ersoy

https://doi.org/10.5281/zenodo.17474569

Öz

AI-supported generative design techniques have been applied to enhance the performance of hydrocyclone manifolds in liquid-solid separation systems. By leveraging computational fluid dynamics (CFD) and thermal analysis, this study addresses critical inefficiencies, including turbulent losses, pressure drop, and thermal accumulation. Through topology optimization and parametric modeling, the generative design framework has yielded an improved manifold geometry that reduces both pressure loss and material usage while increasing particle separation efficiency. These advancements demonstrate the potential of generative design in optimizing industrial fluid systems, particularly in applications requiring high-efficiency separation and turbulent flow management.

Anahtar Kelimeler

Hydrocyclone , generative design , CFD , thermal optimization

Üretken Tasarım ve CFD-Termal Simülasyon Entegrasyonu ile Hidrosiklon Manifoldunun Performans Optimizasyonu

Öz

Yapay zeka destekli üretken tasarım teknikleri, sıvı-katı ayırma sistemlerinde hidrosiklon manifoldlarının performansını artırmak için uygulanmıştır. Bu çalışma, hesaplamalı akışkanlar dinamiği (CFD) ve termal analizden yararlanarak türbülanslı kayıplar, basınç düşüşü ve termal birikim gibi kritik verimsizlikleri ele almaktadır. Topoloji optimizasyonu ve parametrik modelleme yoluyla, üretken tasarım çerçevesi, hem basınç kaybını hem de malzeme kullanımını azaltırken parçacık ayırma verimliliğini artıran iyileştirilmiş bir manifold geometrisi üretmiştir. Bu gelişmeler, özellikle yüksek verimli ayırma ve türbülanslı akış yönetimi gerektiren uygulamalarda endüstriyel akışkan sistemlerini optimize etmede üretken tasarımın potansiyelini göstermektedir.

Anahtar Kelimeler

CFD , termal optimizasyon , Hidrosiklon

Destekleyen Kurum

Festo AR-GE

Kaynakça

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