Research Article

Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel

Volume: 1 Number: 1 March 31, 2021
EN

Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel

Abstract

In this study, biodiesel fuel production from waste sunflower oil and viscosity optimization was carried out. During the production process, catalyst ratio, alcohol ratio and reaction temperature were determined as variable parameters. Transesferication method was used as the production method. During the production process, the use of NaOH catalyst and methyl alcohol was provided. Biodiesel production steps with the transesterification method were discussed in detail. A total of 27 different biodiesel fuels were obtained with a catalyst ratio varying between 0.03% and 0.07%, alcohol content between 15% and 25%, and reaction temperature between 50 ° C and 70 ° C. All biodiesel fuels were analyzed and their characteristics were determined. In the optimization process, catalyst ratio, temperature and alcohol ratio were considered as input parameters, and viscosity as output parameters.Both 3D surface plots and 2D contour plots were developed using MINITAB 19 to predict optimum biodiesel viscosity. To predict biodiesel viscosity a quadratic model was created and it showed an R2 of 0.95 indicating satisfactory of the model. Minimum biodiesel viscosity of 4.37 was obtained at a temperature of 60, NaOH catalyst concentration of 0.07% and an alcohol ratio of 25%. At these reaction conditions, the predicted biodiesel viscosity was 4.247. These results demonstrate reliable prediction of the viscosity by Response surface methodology(RSM).

Keywords

Thanks

This study was supported by AKUYAL (Afyon Kocatepe University Fuel Analysis Laboratuvary).We thank AKUYAL for their support.

References

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Details

Primary Language

English

Subjects

Automotive Combustion and Fuel Engineering

Journal Section

Research Article

Publication Date

March 31, 2021

Submission Date

February 7, 2021

Acceptance Date

March 21, 2021

Published in Issue

Year 2021 Volume: 1 Number: 1

APA
Köse, S., Babagiray, M., & Kocakulak, T. (2021). Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel. Engineering Perspective, 1(1), 30-37. https://doi.org/10.29228/sciperspective.49697
AMA
1.Köse S, Babagiray M, Kocakulak T. Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel. engineeringperspective. 2021;1(1):30-37. doi:10.29228/sciperspective.49697
Chicago
Köse, Sedef, Mustafa Babagiray, and Tolga Kocakulak. 2021. “Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel”. Engineering Perspective 1 (1): 30-37. https://doi.org/10.29228/sciperspective.49697.
EndNote
Köse S, Babagiray M, Kocakulak T (March 1, 2021) Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel. Engineering Perspective 1 1 30–37.
IEEE
[1]S. Köse, M. Babagiray, and T. Kocakulak, “Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel”, engineeringperspective, vol. 1, no. 1, pp. 30–37, Mar. 2021, doi: 10.29228/sciperspective.49697.
ISNAD
Köse, Sedef - Babagiray, Mustafa - Kocakulak, Tolga. “Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel”. Engineering Perspective 1/1 (March 1, 2021): 30-37. https://doi.org/10.29228/sciperspective.49697.
JAMA
1.Köse S, Babagiray M, Kocakulak T. Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel. engineeringperspective. 2021;1:30–37.
MLA
Köse, Sedef, et al. “Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel”. Engineering Perspective, vol. 1, no. 1, Mar. 2021, pp. 30-37, doi:10.29228/sciperspective.49697.
Vancouver
1.Sedef Köse, Mustafa Babagiray, Tolga Kocakulak. Response Surface Method Based Optimization of the Viscosity of Waste Cooking Oil Biodiesel. engineeringperspective. 2021 Mar. 1;1(1):30-7. doi:10.29228/sciperspective.49697

Cited By

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