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篇名
Initial Turbidity, PH, Dosage of Alum and Paddles Type Optimization of Efficiency Removal by Using Response Surface Methods (RSM)
並列篇名
Initial Turbidity, PH, Dosage of Alum and Paddles Type Optimization of Efficiency Removal by Using Response Surface Methods (RSM)
作者 Zainb Abd alelah Abd Alateef (Zainb Abd alelah Abd Alateef)Fatma Abd Alemam Jyad (Fatma Abd Alemam Jyad)Maha Atta Faroon (Maha Atta Faroon)Ahmed Naseh Ahmed Hamdan (Ahmed Naseh Ahmed Hamdan)
英文摘要
Response Surface Methods (RSM) and desirability functions are good examples of data-based multivariate methods that can be used to study coagulation treatment optimization. This study examined and optimized the efficacy of turbidity reduction, under the operating conditions of initial turbidity Tin (50–200 NTU), pH (5–9), and alum dose (50–250 mg/L) for two types of fan (two paddles and four paddles) using Face-Centered Central Composite Design F-CCCD of RSM. The experimental results of F-CCCD were fitted to the second-order quadratic model for the two types of fans in order to formulate the impacts of each element and their interactions on the response of interest in a mathematical connection. The results showed that at optimal operating conditions for a fan with two paddles of Tin, pH and alum dose of 87.76 NTU, 8.86 and 170.43 mg/L, respectively, the predicted values of turbidity removal efficiency (E%) was 85.92% and for four paddles fan type when Tin, pH and alum dose of 156.58 NTU, 8.93, and 138.7 mg/L, respectively, the predicted values of turbidity removal efficiency (E%) was 93.71, with the desirability of 1.000. This study showed how well F-CCCD works with a desirability function to find the best conditions for the process (Tin, pH, and alum dosage) of coagulation for the turbidity removal efficiency E%. A four-paddle fan type provided the best removal efficiency. Instead of jar testing, drinking water treatment companies might utilize the findings of this study as a starting point for their work.
起訖頁 1-9
關鍵詞 FlocculationEfficiency removalCoagulationCentral composite designResponse surface methodOptimization network (ANN).
刊名 國際應用科學與工程學刊  
期數 202403 (21:1期)
出版單位 朝陽科技大學理工學院
該期刊-上一篇 Enhanced Non-Destructive of Degree of Pineapple Juiciness using Ensemble Learning Model based on Tapping Sound Sensing
 

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