2007
DOI: 10.1016/j.applthermaleng.2007.02.004
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Modeling and optimization of designing parameters for a parallel-plain fin heat sink with confined impinging jet using the response surface methodology

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Cited by 37 publications
(14 citation statements)
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“…The designing of these systems, which can be viewed as the answer to how to organize the fluid flow and solid constituents (e.g., heat sink dimensions, fins shape, fins spacing, and materials) for minimal thermal resistance [1], has been studied extensively, e.g., see [2][3][4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…The designing of these systems, which can be viewed as the answer to how to organize the fluid flow and solid constituents (e.g., heat sink dimensions, fins shape, fins spacing, and materials) for minimal thermal resistance [1], has been studied extensively, e.g., see [2][3][4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Gondipalli et al [20] investigated enhancing the thermal performance of the impingement-parallel plate heat sink without increasing the pressure drop by removing fin material only for the two middle fins of the heat sink along its length and height, making it a 'two-step model' as shown in Figure 4. Figures 3 and 4 show the temperature contours of the baseline case and the previously proposed 'sub-optimum' design.…”
Section: Problem Definitionmentioning
confidence: 99%
“…Chiang [19] presented a study based on that data using the Taguchi method for DOE and ANOVA to minimize thermal resistance based on optimizing the heat sink geometric design parameters. The author also extended the study by performing modeling and optimization using response surface methodology (RSM) [20]. This time, the design parameters were changed to height and thickness of fin, width of passage between fins, distance between the cooling fan and the tip of fins, and the thermal resistance and pressure drop as the thermal performance characteristics.…”
Section: Introductionmentioning
confidence: 99%
“…Systematic experimental design is carried out and is based on the Box-Behnken Design (BBD), a standard method of response surface methodology (RSM) [20]. RSM is a method used to optimize the experimental conditions, suitable for solving nonlinear data processing-related problems, including techniques such as experimental design, modeling, testing the suitability of the model, searching for the best combination of conditions, and so on.…”
Section: Experimental Methodsmentioning
confidence: 99%