Optimization of saponification process in multi-response framework by using desirability function approach
Abstract
In chemical engineering field, there are many processes which need to optimize more than one responses, called multiresponse, simultaneously. In this study, it is aimed to analyse the effects of operating parameters (modeling) and to obtain the compromise process factor values (optimization) for a continuous saponification process. The novelty of this study is considering the saponification process as a multi-response problem. It is important both engineering and statistical aspects. For the continuous saponification process, sodium hydroxide (X1), ethyl acetate concentrations (X2), and their volumetric flow rates (X3, X4) were regarded as the process factors in order to maximize the conversion of sodium hydroxide (Y1) and to minimize the space time (Y2) which is calculated analytically by using X3 and X4. Response Surface Methodology (RSM) and Desirability Function Approach (DFA) were used for modeling and optimization of the process, respectively. Therefore, it is clear that compromise factor conditions which are obtained by the optimization of conversion and space time simultaneously will satisfy the product quality and process economy.
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
August 1, 2015
Submission Date
April 8, 2014
Acceptance Date
July 23, 2015
Published in Issue
Year 2015 Volume: 19 Number: 2
Cited By
Tepki yüzeyi metodolojisi kullanılarak nanokompozitin delinmesinde oluşan itme kuvvetinin modellenmesi ve analizi
Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
https://doi.org/10.29109/gujsc.648188