Optimization of the concentric heat exchanger with injector turbulators by Taguchi method

Turgut, Emre; Çakmak, Gülşah; Yıldız, Cengiz

doi:10.1016/j.enconman.2011.09.011

Cited by 61 publications

(20 citation statements)

References 20 publications

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“…The contribution ratio to each parameter is determined and the optimum combination was found to be s/D¼0.0357, P/D¼ 1, a/ D ¼0.0714 and Re¼ 19,800. An optimum design parameter of the concentric heat exchanger with injector turbulators using Taguchi experimental design method was carried out by Turgut et al [20]. The effects of injector shaped turbulators having different angle, diameter and the numbers on heat transfer and pressure drop were investigated using L 16 orthogonal array and it was found that the numerical and experimental results are in good agreement with each other.…”

Section: Introductionmentioning

confidence: 89%

A Taguchi approach for optimization of flow and geometrical parameters in a rectangular channel roughened with V down perforated baffles

Chamoli

2015

Case Studies in Thermal Engineering

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a b s t r a c tThis study presents the optimum design parameters of the rectangular channel with V down perforated baffle turbulators using a Taguchi experimental design method. The experimental investigation for the established rectangular channel involves V down perforated baffles attached to the one of the broad wall of the channel having various roughness parameters. The effects of the four design parameters such as Reynolds number, open area ratio, relative roughness height and relative roughness pitch are investigated. In the Taguchi experimental design method, Nusselt number and friction are considered as performance parameter. An L 16 (4 4 ) orthogonal array is chosen as an experimental plan for the design parameters. The analysis of Taguchi method conducted with the goal of optimization process for minimum friction factor (minimum pressure drop) and maximum Nusselt number (maximum heat transfer) for the designed V down perforated baffle roughened rectangular channel. The optimum configurations of control factors for Nusselt number and friction factor are A 2 B 2 C 1 D 4 and A 4 B 1 C 4 D 3 , respectively. Experimental results validated the suitability of the proposed approach.

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Section: Introductionmentioning

confidence: 89%

A Taguchi approach for optimization of flow and geometrical parameters in a rectangular channel roughened with V down perforated baffles

Chamoli

2015

Case Studies in Thermal Engineering

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“…The signal factors are named as "controllable parameters" and considered by the researches. The noise factors are named as "uncontrollable factors" and can be defined as exterior factors affecting outcome throughout the experiments but unable to attend the experimental design [40]. To obtain optimum design parameters, HB was selected for the COP.…”

Section: Taguchi -Design Of Experimentsmentioning

confidence: 99%

Optimization of operating parameters of a ground coupled heat pump system by Taguchi method

Esen

Turgut

2015

Energy and Buildings

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“…Although contribution ratio is in use as in post analysis of experimental results in order to achieve and explanation of optimal results, (Abdallah, Soo, & Hood, 2018;Bharath, & Manjunatha, 2018;Gunes, Manay, Senyigit, & Oyceyhan, 2011;Günay, & Yücel, 2013;Turgut, Çakmak, & Yıldız, 2012;, most researches that use Taguchi method post analyses conduct with S/N ratios. Therefore it is not uncommon to combine S/N ratio analysis and Pareto diagrams, (Derdour, Kezzar, Bennis, & Khochmane, 2018;Fratila and Caizar 2011;Ghani, Choudhury, & Hassan, 2004;Islam, Rafai, & Subramanian, 2010;Kurra, Swetha, Vinodh Reddy, & Regalla, 2018;Sarkar, Mitra, & Bhattacharyya, 2005;Vankanti, & Ganta, 2014).…”

Section: Introductionmentioning

confidence: 99%

Using Taguchi's contribution ratio and Pareto diagram in identification of influential factors in experiments: Case studies

Veljković¹,

Spasojević-Brkić²,

Ćurić³

et al. 2018

JEMC

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This paper considers the usage of Taguchi's contribution ratio as well as an adjusted Pareto diagram for determining the size of influential design factors in experimental design on output values in order to determine the best combination of input factors, as well as factors that can determine output. Two case studies that cover extreme examples are presented in that aim. The first case study examines one input workspace design distributed on tree experimental designs defining space coordinates. Every design has several output values that were measured. The second case study presents two experiments regarding injection of plastic molding process, with same input factors at parts which are different in material and dimensions with geometric deformations as output. It was shown that different experiments lead to different results, of which one is acceptable, while other is useless for further examinations. Accordingly, this paper gives guidelines how to use Taguchi's contribution ratio and Pareto diagram effectively in determination of influential factors in experiments.

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Optimization of the concentric heat exchanger with injector turbulators by Taguchi method

Cited by 61 publications

References 20 publications

A Taguchi approach for optimization of flow and geometrical parameters in a rectangular channel roughened with V down perforated baffles

A Taguchi approach for optimization of flow and geometrical parameters in a rectangular channel roughened with V down perforated baffles

Optimization of operating parameters of a ground coupled heat pump system by Taguchi method

Using Taguchi's contribution ratio and Pareto diagram in identification of influential factors in experiments: Case studies

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