Optimizing the Sodium Hydroxide Conversion Using Regression Analysis in CSTR
Source abstract
Abstract
The current study deals with the maximization of NaOH conversion using step-wise regression analysis in a CSTR. The dependence of temperature, volume, agitation rate, and feed rate on reactor performance is examined as well as interaction outcome of the operating parameters. The concentration of the reactants was fixed at 0.1 M. The steady state conversion with respect to NaOH is analyzed to find the process performance. Step-wise regression analysis is used to remove an insignificant factors. The agitation rate (X2) and feed rate (X3) proved to have an insignificant influence on the reaction conversion at a significant level (α) of 5%. Consequently, the temperature (X1) and reaction volume (X4) were found to have significant effect on the reaction conversion using step-wise regression. The temperature and volume dependence on steady state NaOH conversion were described by a polynomial model of 2nd and 3rd order. A maximal steady state conversion equal to 63.15% was obtained. No improvement was found in reaction conversion with 3rd order polynomial, so the second order polynomial is considered as the optimum reaction conversion modal. It may be recommended that 2nd order regression polynomial model adequately represents the experimental data very well.
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Research context
OpenAlex topics: Process Optimization and Integration · Fault Detection and Control Systems · Innovative Microfluidic and Catalytic Techniques Innovation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Chemical Engineering Department, College of Engineering, King Khalid University, Abha 61411, Saudi Arabia
Funding
King Khalid University
References (28)
Show source-provided references
1. Montgomery, D.C. (1991). Design and Analysis of Experiments, John Wiley and Sons. [3rd ed.].
2. Zivorad, R.L. (2004). Design of Experiments in Chemical Engineering, Wiley-VCH.
3. Stastical program planning for development
4. Stitistical tools for Optimal dynamic model building10.1016/S0098-1354(00)00328-8 ↗
5. Investigating the Effect of Key Fcators, Their interaction and Optimization of Naptha Stram Cracking by Statistical Design of Experiments10.1016/j.jaap.2009.12.007 ↗
6. Process improvement approach to the saponification reaction by using statistical experimental design10.1016/j.cep.2006.02.010 ↗
7. A practical approach to recipe improvement and optimization in the Batch Processing Industry10.1016/S0166-3615(98)00078-5 ↗
8. D- and T-optimum design for the kinetics of a reversible chemical reaction10.1016/S0169-7439(98)00046-X ↗
9. Comparison of surface response methods for the optimization of an upflow anaerobic sludge blanket for the treatment of slaughterhouse wastewater10.4491/eer.2018.366 ↗
10. Hydroxide as general base in the saponification of ethyl acetate10.1021/ja011931t ↗
11. Integral kinetic analysis from temperature programmed reaction data: Alkaline hydrolysis of ethyl acetate as test reaction10.1016/0040-6031(89)87052-2 ↗
12. Comparative study of two chemical reactions with different behavior in batch and semibatch reactors10.1016/S1385-8947(02)00027-X ↗
13. Effect of Operating Conditions on CSTR Performance: An Experimental Study
14. Kinetic studies on saponification of ethyl acetate using an innovative conductivity- monitoring instrument with a pulsating sensor10.1002/kin.20597 ↗
15. Estimation of parameters of arrhenius equation for ethyl acetate saponification reaction
16. Determination of kinetic parameters fast chemical reactions10.1016/j.cej.2005.09.019 ↗
17. Borobinskaya, E., Khaydarov, V., Strehle, N., Musaev, A., and Reschetiloeski, W. (2019). Experimental study of ethyl acetate saponification using different reactor systems: Effect of volume flow rate on reactor performance and pressure drop. Appl. Sci., 9.10.3390/app9030532 ↗
18. The reaction rate of alkaline hydrolysis of ethyl acetate10.1246/bcsj.39.1837 ↗
19. A simple method for the alkaline hydrolusis of esters10.1016/j.tetlet.2007.09.074 ↗
20. Aspen plus simulation of saponification of ethyl acetate in the presence of sodium hydroxide in a plug flow reactor
21. A Comparative study of alkaline hydrolysis of ethyl acetate using design of experiments
22. Optimization of saponification reaction in a continuous stirred tank reactor using design of experiments
23. A fixed point methodology for the design of reactive distillation column10.1016/j.cherd.2016.05.015 ↗
24. Experimental investigation of ethyl acetate saponification10.1515/ijcre-2016-0174 ↗
25. Optimization of performance model of ethyl acetate saponification using multiple regression analysis10.1134/S1070427218110228 ↗
26. Kinetic study of hydrolysis of ethyl acetate using caustic soda10.14419/ijet.v7i4.14083 ↗
27. Al Mesfer, M.K., and Danish, M. (2015, January 8–13). Investigating the effect of baffles on CSTR performance for liquid phase reactions. Proceedings of the AIChE Conference, Salt Lake City, UT, USA.
28. A Method of Determining Velocities of Saponification