2011
DOI: 10.1016/j.energy.2011.03.065
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Using the Taguchi method and grey relational analysis to optimize the flat-plate collector process with multiple quality characteristics in solar energy collector manufacturing

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Cited by 88 publications
(6 citation statements)
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“…In the following, a trial is performed to estimate the optimum threshold for each design parameter for maximum power output and determine the most significant control parameters of the system 45 , 46 .…”
Section: Resultsmentioning
confidence: 99%
“…In the following, a trial is performed to estimate the optimum threshold for each design parameter for maximum power output and determine the most significant control parameters of the system 45 , 46 .…”
Section: Resultsmentioning
confidence: 99%
“…36 In general, the value of the distinguishing coefficient is set to 0.5. 32 In addition, the sensitivity analysis by varying the distinguishing coefficient is shown in the experiment results…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, the studies combined the Taguchi method with the grey relational analysis theory to analyse multiple qualities simultaneously. 3032 This approach was also utilized to optimize multiple qualities of RP technologies. Wang et al 33 analysed the optimum process parameters for the tensile strength, dimensional accuracy, and surface toughness on the FDM process.…”
Section: Introductionmentioning
confidence: 99%
“…Numerous academics are looking at flat plate solar collectors as a potential source of renewable energy and mitigating their potential environmental problems [16,17]. The use of nanofluids as an absorbing medium for solar energy collecting and increasing the efficiency of solar plate collectors has received significant attention in recent years.…”
Section: Introductionmentioning
confidence: 99%