2017
DOI: 10.3390/ma10111294
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Application of the Taguchi Method for Optimizing the Process Parameters of Producing Lightweight Aggregates by Incorporating Tile Grinding Sludge with Reservoir Sediments

Abstract: This study aimed to apply the Taguchi optimization technique to determine the process conditions for producing synthetic lightweight aggregate (LWA) by incorporating tile grinding sludge powder with reservoir sediments. An orthogonal array L16(45) was adopted, which consisted of five controllable four-level factors (i.e., sludge content, preheat temperature, preheat time, sintering temperature, and sintering time). Moreover, the analysis of variance method was used to explore the effects of the experimental fa… Show more

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Cited by 30 publications
(28 citation statements)
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“…In recent years, the development of LWAs has focused on industrial waste or municipal solid waste as a raw material for reducing the use of natural resources [3][4][5][6][7][8][9][10][11][12]. In other words, industrial waste or municipal solid waste can be reused as a sustainable resource in the manufacturing process of artificial LWAs.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the development of LWAs has focused on industrial waste or municipal solid waste as a raw material for reducing the use of natural resources [3][4][5][6][7][8][9][10][11][12]. In other words, industrial waste or municipal solid waste can be reused as a sustainable resource in the manufacturing process of artificial LWAs.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, analysis of variance (ANOVA) was used to detect the optimization of the observed performance characteristics. This was achieved by dividing the total variability of the S/N ratio into the contribution of each process parameter and error [38].…”
Section: Test Methods and Data Analysismentioning
confidence: 99%
“…Moreover, the analysis of variance (ANOVA) was used to detect the optimization of the observed values. This was accomplished by separating the total variability of the S/N ratios into contributions by each of the process parameters and the error [31].…”
Section: Test Methods and Data Analysismentioning
confidence: 99%