Taguchi Yöntemi Kullanılarak Vorteks Tüpü Tasarım Parametrelerinin Optimizasyonu

Öz

Bu çalışmada, sabit tüp çapı ve sınır koşulları ile bir vorteks tüpünün (VT) optimizasyonu, Soğutma Performans Katsayısını (COPcooling) iyileştirmek amacıyla dört farklı tasarım faktörünün belirlenmesiyle gerçekleştirilmiştir: konik vana açısı (α), nozul sayısı (N), soğuk akış çıkışı çapı (Dcold exit) ve nozul giriş çapı (Dnozzle). Her belirlenen faktör için beş farklı seviye atanmış ve Taguchi yaklaşımı kullanılarak bir L25 ortogonal serisi oluşturulmuştur. 3D tasarlanmış vakalar, ANSYS Fluent yazılımında standart k-epsilon türbülans modeli kullanılarak sayısal analizlere tabi tutulmuştur. Tasarım parametrelerinin etki seviyeleri, Varyans Analizi (ANOVA) yöntemiyle belirlenmiştir. Ayrıca, COPcooling bağımsız değişkeni ile regresyon analizi yoluyla ampirik bir denklem elde edildikten sonra, bir doğrulama testi gerçekleştirilmiştir. Sonuçlar, COPcooling üzerindeki beş parametrenin etki sırasının N > Dnozzle > Dcold > α olduğunu göstermiştir; burada N parametresi VT içindeki COPcooling üzerinde en güçlü etkiye sahipken, α parametresi en düşük etkiye sahiptir. Ayrıca, optimum VT'nin, başlangıçtaki geometrik parametrelere sahip bir VT ile karşılaştırıldığında COPcooling değerinde %40.3'lük bir iyileşme sağladığı belirlenmiştir. Taguchi yaklaşımının VT geometri optimizasyonunda kullanılması, performansı önemli ölçüde artırmıştır.

Anahtar Kelimeler

• Soğutma Performans Katsayısı (COPcooling)
• Sıcaklık farkı
• Varyans Analizi (ANOVA)
• Hesaplamalı Akışkanlar Dinamiği (CFD)
• Regresyon analizi

Optimization of Vortex Tube Design Parameters Using the Taguchi Method

Abstract

In this study, the optimization of a vortex tube (VT) with a fixed tube diameter and boundary conditions was attempted by determining four different design factors: the value of the conical valve degree (α), the number of nozzles (N), the cold flow exit diameter (Dcold exit), and the nozzle inlet diameter (Dnozzle), to improve the Cooling Coefficient of Performance (COPcooling). For each identified factor, five different levels were assigned, and an L25 orthogonal series was constructed using the Taguchi approach. The 3D-designed cases were subjected to numerical analysis in the ANSYS Fluent software program using the standard k-epsilon turbulence model. The effect levels of the design parameters were determined using the Analysis of variance (ANOVA) approach. Furthermore, after obtaining an empirical equation with COPcooling as the independent variable through Regression analysis, a confirmation test was conducted. The results indicated that the order of influence of the five parameters on COPcooling was N> Dnozzle> Dcold > α, with the N parameter having the strongest impact on the COPcooling in the VT, while the α parameter had the least effect. Additionally, the optimal VT showed a 40.3% improvement in COPcooling, when compared to a VT with initial geometric parameters. It has been identified that using the Taguchi approach for VT geometry optimization significantly enhanced performance

Keywords

• Cooling Coefficient of Performance (COPcooling)
• Temperature difference
• Analysis of variance (ANOVA)
• Computational Fluid Dynamic (CFD)
• Regression analysis

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