{"title":"Optimization by the Response Surface Methodology of Color","authors":"G. Bouazza, M. Assou, E. Chatri, S. Souabi","doi":"10.1109/IRASET48871.2020.9092012","DOIUrl":null,"url":null,"abstract":"The work presented in this paper concerns the optimization of the color of wastewater by the tannery, under the effects of factors that have significant impacts. The aim is to reduce the pollution caused by colored industrial waste from the tannery. This study is based on the application of the experiments design, during the physicochemical treatment of colored industrial tanneries waste, from the city of Mohammedia. The modeling established by design of experiments, makes it possible to analyze the color more deeply by taking into account the various relevant factors governing it. The design of experiments introduced is a homogeneous set of tools and algebra-statistical methods aimed at establishing and analyzing the relationships between the quantities studied (responses) and their sources of variation (factors). In this work, this analysis is a quantitative study: methodology of response surfaces (variation of responses depending on influencing factors). Its purpose is to determine a mathematical model, of the second order in order to characterize the color corresponds to the absorbance of wavelength 254 nm (the response), which is expressed as a function of the factors (the coagulant, the concentration flocculant and pH). This modeling is deduced from the data obtained from a series of experiments. optimizing the color studied is a specific method of constructing response surfaces, based on the central composite design. The validation of the theoretical model has been demonstrated by the experimental results.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"97 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRASET48871.2020.9092012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The work presented in this paper concerns the optimization of the color of wastewater by the tannery, under the effects of factors that have significant impacts. The aim is to reduce the pollution caused by colored industrial waste from the tannery. This study is based on the application of the experiments design, during the physicochemical treatment of colored industrial tanneries waste, from the city of Mohammedia. The modeling established by design of experiments, makes it possible to analyze the color more deeply by taking into account the various relevant factors governing it. The design of experiments introduced is a homogeneous set of tools and algebra-statistical methods aimed at establishing and analyzing the relationships between the quantities studied (responses) and their sources of variation (factors). In this work, this analysis is a quantitative study: methodology of response surfaces (variation of responses depending on influencing factors). Its purpose is to determine a mathematical model, of the second order in order to characterize the color corresponds to the absorbance of wavelength 254 nm (the response), which is expressed as a function of the factors (the coagulant, the concentration flocculant and pH). This modeling is deduced from the data obtained from a series of experiments. optimizing the color studied is a specific method of constructing response surfaces, based on the central composite design. The validation of the theoretical model has been demonstrated by the experimental results.