Research Article

Optimization of saponification process in multi-response framework by using desirability function approach

Volume: 19 Number: 2 August 1, 2015
EN TR

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 X4Response 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

  1. Simandi, B., Sawinsky, J. And Molnar, K. (1996) ‘Analysis at a mixing model and its application to a multistate column reactor’, Chemical and Biochemical Engineering Quarterly, vol. 10, no. 3, pp. 129-136.
  2. Heny, C., Simanca, D. and Delgado, M. (2000) ‘Pseudo-bond graph model and simulation of a continuous stirred tank reactor’, Journal of the Franklin Institute, vol. 337, no. 1, pp. 21-42.
  3. Krupska, A., Konarski, J., Fiedorow, R. and Adamiec, J. (2002) ‘Determination of the rate constants from phase delay effect in chemical reactions’, Kinetics and Catalysis, vol. 43, no. 3, pp. 295-302.
  4. Mendes, A.M., Madeira, L.M., Magalhaes, F.D. and Sousa, J.M. (2004) ‘An integrated chemical engineering Lab Experiment’, Chemical Engineering Education, vol. 38, no. 3, pp. 228-235.
  5. Bezerra, M.A., Santelli, R.E., Oliveiraa, E.P., Villara, L.S. and Escaleiraa, L.A. (2008) ‘Response surface methodology (RSM) as a tool for optimization in analytical chemistry’, Talanta, vol. 76, pp. 965-977.
  6. Chi, G., Hu, S., Yang, Y. and Chen, T. (2012) ‘Response surface methodology with prediction uncertainty: A multi-objective optimization approach’, Chemical Engineering Research and Design, vol. 90, pp. 1235-1244.
  7. Istadi, A.N. (2005) ‘A hybrid numerical approach for multi-responses optimization of process parameters and catalyst compositions in CO2 OCM process over CaO-MnO/CeO2 catalyst’, Chemical Engineering Journal, vol. 106, pp. 213-227.
  8. Seritan, M.P., Gutt, S., Gutt, G., Cretescu, I., Cojocaru, C. and Severin, T. (2011) ‘Design of experiments for statistical modeling and multi-response optimization of nickel electroplating process’, Chemical Engineering Research and Design, vol. 89, pp. 136-147.

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

APA
Türkşen, Ö., & Ertunç, S. (2015). Optimization of saponification process in multi-response framework by using desirability function approach. Sakarya University Journal of Science, 19(2), 141-149. https://doi.org/10.16984/saufenbilder.44436
AMA
1.Türkşen Ö, Ertunç S. Optimization of saponification process in multi-response framework by using desirability function approach. SAUJS. 2015;19(2):141-149. doi:10.16984/saufenbilder.44436
Chicago
Türkşen, Özlem, and Suna Ertunç. 2015. “Optimization of Saponification Process in Multi-Response Framework by Using Desirability Function Approach”. Sakarya University Journal of Science 19 (2): 141-49. https://doi.org/10.16984/saufenbilder.44436.
EndNote
Türkşen Ö, Ertunç S (July 1, 2015) Optimization of saponification process in multi-response framework by using desirability function approach. Sakarya University Journal of Science 19 2 141–149.
IEEE
[1]Ö. Türkşen and S. Ertunç, “Optimization of saponification process in multi-response framework by using desirability function approach”, SAUJS, vol. 19, no. 2, pp. 141–149, July 2015, doi: 10.16984/saufenbilder.44436.
ISNAD
Türkşen, Özlem - Ertunç, Suna. “Optimization of Saponification Process in Multi-Response Framework by Using Desirability Function Approach”. Sakarya University Journal of Science 19/2 (July 1, 2015): 141-149. https://doi.org/10.16984/saufenbilder.44436.
JAMA
1.Türkşen Ö, Ertunç S. Optimization of saponification process in multi-response framework by using desirability function approach. SAUJS. 2015;19:141–149.
MLA
Türkşen, Özlem, and Suna Ertunç. “Optimization of Saponification Process in Multi-Response Framework by Using Desirability Function Approach”. Sakarya University Journal of Science, vol. 19, no. 2, July 2015, pp. 141-9, doi:10.16984/saufenbilder.44436.
Vancouver
1.Özlem Türkşen, Suna Ertunç. Optimization of saponification process in multi-response framework by using desirability function approach. SAUJS. 2015 Jul. 1;19(2):141-9. doi:10.16984/saufenbilder.44436

Cited By


INDEXING & ABSTRACTING & ARCHIVING

33418 33537  30939     30940 30943 30941  30942  33255    33253  33254

30944  30945  30946   34239




30930Bu eser Creative Commons Atıf-Ticari Olmayan 4.0 Uluslararası Lisans   kapsamında lisanslanmıştır .