Optimizing the thermal performance of a double-pipe heat exchanger using twisted tapes with variable cuts and Fe3O4 nanofluid

N.A.

Makale detayları

Optimizing the thermal performance of a double-pipe heat exchanger using twisted tapes with variable cuts and Fe3O4 nanofluid

Yazarlar:

N.A.

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Thermodynamics and Statistical Physics

Dergi:

Journal of Thermal Engineering Vol.10 Issue 5, pp.1184-1197

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001326772

pISSN:

2148-7847

Anahtar kelimeler:

Özet:

 This research work aims to optimize double pipe heat exchanger performance using Taguchi, ANOVA, and ANN. Experimental trials involved varying ferric oxide nanoparticles, cut radius, and volume-based flow rate. Twisted tapes with ratios of 3, 5, and 7 were placed within the tube. Assessed heat transfer characteristics included h, Nu, ff, and thermal performance factor. Taguchi, ANOVA, and ANN optimization techniques were applied to the experimental data. A Taguchi optimization using an L9 orthogonal array focused on input attributes Vol  of nanoparticles, flow rate, radius of cut, with output attributes being heat transfer co-efficient h, Nusselt number Nu, friction factorff and thermal performance factor. Results revealed a notable flow rate effect on enhancing h, Nu, and ff, while the addition of nanoparticles significantly influenced thermal performance. Taguchi and ANOVA were conducted using MINI Tab and ANN was implemented through MATLAB. Test data demonstrated that nanoparticle dispersants in nanofluid significantly improved heat transfer properties, consistent with the noteworthy improvement indicated by optimization techniques. The convective heat transfer coefficient parameter showed improvement with a coolant flow rate of 50.29 and a volume of nanoparticles at 27.32. The enhancement of Nusselt number Nu was influenced by a coolant flow rate of 50.34 and a volume percent of nanoparticles at 34.25. The thermal performance factor was significantly influenced by the volume percent of nanoparticles 79.75 and the radius of cut 3.83.The experimental data aligned well with findings from Taguchi and ANN.

 This research work aims to optimize double pipe heat exchanger performance using Taguchi, ANOVA, and ANN. Experimental trials involved varying ferric oxide nanoparticles, cut radius, and volume-based flow rate. Twisted tapes with ratios of 3, 5, and 7 were placed within the tube. Assessed heat transfer characteristics included h, Nu, ff, and thermal performance factor. Taguchi, ANOVA, and ANN optimization techniques were applied to the experimental data. A Taguchi optimization using an L9 orthogonal array focused on input attributes Vol  of nanoparticles, flow rate, radius of cut, with output attributes being heat transfer co-efficient h, Nusselt number Nu, friction factorff and thermal performance factor. Results revealed a notable flow rate effect on enhancing h, Nu, and ff, while the addition of nanoparticles significantly influenced thermal performance. Taguchi and ANOVA were conducted using MINI Tab and ANN was implemented through MATLAB. Test data demonstrated that nanoparticle dispersants in nanofluid significantly improved heat transfer properties, consistent with the noteworthy improvement indicated by optimization techniques. The convective heat transfer coefficient parameter showed improvement with a coolant flow rate of 50.29 and a volume of nanoparticles at 27.32. The enhancement of Nusselt number Nu was influenced by a coolant flow rate of 50.34 and a volume percent of nanoparticles at 34.25. The thermal performance factor was significantly influenced by the volume percent of nanoparticles 79.75 and the radius of cut 3.83.The experimental data aligned well with findings from Taguchi and ANN.

 This research work aims to optimize double pipe heat exchanger performance using Taguchi, ANOVA, and ANN. Experimental trials involved varying ferric oxide nanoparticles, cut radius, and volume-based flow rate. Twisted tapes with ratios of 3, 5, and 7 were placed within the tube. Assessed heat transfer characteristics included h, Nu, ff, and thermal performance factor. Taguchi, ANOVA, and ANN optimization techniques were applied to the experimental data. A Taguchi optimization using an L9 orthogonal array focused on input attributes Vol  of nanoparticles, flow rate, radius of cut, with output attributes being heat transfer co-efficient h, Nusselt number Nu, friction factorff and thermal performance factor. Results revealed a notable flow rate effect on enhancing h, Nu, and ff, while the addition of nanoparticles significantly influenced thermal performance. Taguchi and ANOVA were conducted using MINI Tab and ANN was implemented through MATLAB. Test data demonstrated that nanoparticle dispersants in nanofluid significantly improved heat transfer properties, consistent with the noteworthy improvement indicated by optimization techniques. The convective heat transfer coefficient parameter showed improvement with a coolant flow rate of 50.29 and a volume of nanoparticles at 27.32. The enhancement of Nusselt number Nu was influenced by a coolant flow rate of 50.34 and a volume percent of nanoparticles at 34.25. The thermal performance factor was significantly influenced by the volume percent of nanoparticles 79.75 and the radius of cut 3.83.The experimental data aligned well with findings from Taguchi and ANN.

 This research work aims to optimize double pipe heat exchanger performance using Taguchi, ANOVA, and ANN. Experimental trials involved varying ferric oxide nanoparticles, cut radius, and volume-based flow rate. Twisted tapes with ratios of 3, 5, and 7 were placed within the tube. Assessed heat transfer characteristics included h, Nu, ff, and thermal performance factor. Taguchi, ANOVA, and ANN optimization techniques were applied to the experimental data. A Taguchi optimization using an L9 orthogonal array focused on input attributes Vol  of nanoparticles, flow rate, radius of cut, with output attributes being heat transfer co-efficient h, Nusselt number Nu, friction factorff and thermal performance factor. Results revealed a notable flow rate effect on enhancing h, Nu, and ff, while the addition of nanoparticles significantly influenced thermal performance. Taguchi and ANOVA were conducted using MINI Tab and ANN was implemented through MATLAB. Test data demonstrated that nanoparticle dispersants in nanofluid significantly improved heat transfer properties, consistent with the noteworthy improvement indicated by optimization techniques. The convective heat transfer coefficient parameter showed improvement with a coolant flow rate of 50.29 and a volume of nanoparticles at 27.32. The enhancement of Nusselt number Nu was influenced by a coolant flow rate of 50.34 and a volume percent of nanoparticles at 34.25. The thermal performance factor was significantly influenced by the volume percent of nanoparticles 79.75 and the radius of cut 3.83.The experimental data aligned well with findings from Taguchi and ANN.

Makale detayları

Optimizing the thermal performance of a double-pipe heat exchanger using twisted tapes with variable cuts and Fe3O4 nanofluid

Yazarlar:

N.A.

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Thermodynamics and Statistical Physics

Dergi:

Journal of Thermal Engineering Vol.10 Issue 5, pp.1184-1197

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001326772

pISSN:

2148-7847

ANN

Cut Twisted Tapes

Friction Factor

Nanofluid

Nusselt Number

Reynolds Number

Taguchi

Sayı

Makale detayları

Yazarlar: N.A.

Yayıncı: Yildiz Technical University

Ana Başlıklar: Thermodynamics and Statistical Physics

Dergi: Journal of Thermal Engineering Vol.10 Issue 5, pp.1184-1197

Belge Tipi: Makale

Yayın Tarihi: 10/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001326772

pISSN: 2148-7847

Sayı

Yazarlar:

N.A.

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Thermodynamics and Statistical Physics

Dergi:

Journal of Thermal Engineering Vol.10 Issue 5, pp.1184-1197

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001326772

pISSN:

2148-7847