Statistical Assessment of Counterflow Ranque-Hilsch Vortex Tube Performance-Reference-Cited by-同舟云学术

Statistical Assessment of Counterflow Ranque-Hilsch Vortex Tube Performance

Published:2024-07-31 Issue:3 Volume:12 Page:1489-1505
ISSN:2148-2446
Container-title:Düzce Üniversitesi Bilim ve Teknoloji Dergisi
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Author:

Yılmaz Işıkhan Selen¹^ORCID,Korkmaz Murat²^ORCID,Kırmacı Volkan³^ORCID

Affiliation:

1. HACETTEPE ÜNİVERSİTESİ, SOSYAL BİLİMLER MESLEK YÜKSEKOKULU, MUHASEBE VE VERGİ BÖLÜMÜ, MUHASEBE VE VERGİ UYGULAMALARI PR.

2. HACETTEPE ÜNİVERSİTESİ

3. BARTIN ÜNİVERSİTESİ, MÜHENDİSLİK, MİMARLIK VE TASARIM FAKÜLTESİ, MAKİNE MÜHENDİSLİĞİ BÖLÜMÜ, MAKİNE MÜHENDİSLİĞİ PR.

Abstract

The vortex tube, which consists of a simple tube, is a device that can simultaneously heat and cool thanks to environmentally friendly pressurized fluids (air, oxygen, nitrogen, etc.). Many studies have been included in the literature to evaluate the Ranque-Hilsch Vortex tube's performance and to reveal influential factors. Variance analysis, linear regression analysis, and the Taguchi method are primarily used in practice. This study aimed to compare the strengths and weaknesses of the factorial experimental design and Taguchi orthogonal array design in the statistical evaluation of the factors affecting the heat exchange of the Ranque-Hilsch Vortex tube. For this purpose, a detailed theory was created for the appropriate factorial ANOVA model to the data set (4 × 5 × 12 = 240 experiments) containing the Ranque-Hilsch Vortex tube and effective material type (polyamide, steel, brass, and aluminum), nozzle number (2,3,4,5 and 6), and input pressure parameters (1,5-7 bar). Following the factorial ANOVA solution, including all binary interactions, the findings were obtained according to the most suitable L16 Taguchi Orthogonal array, considering the four levels for each material, nozzle, and pressure. As a result of the ANOVA, all parameters were statistically significant on heat change (p < 0.001). On the other hand, the pressure was obtained as the only statistically significant factor according to the Taguchi analysis (F = 35.17, p = 0.008). The advantages and disadvantages of the two methods were compared regarding the test findings and graphical performances.

Publisher

Duzce Universitesi Bilim ve Teknoloji Dergisi

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