Application of response surface methodology for optimizing the processing factors of sesame seeds oil extraction in linear pressing.

Bc. Rachid Mahroum

Diplomová práce

Abstract:

The Master’s Thesis examined bulk sesame seeds under linear pressing involving a universal compresson testing machine and pressing vessels of diameters 30, 60 and 80 mm with a plunger. The bulk sesame seeds was measured at a pressing height of 100 mm and compressed at pressing speeds of 4 and 5 mm/min. Three separate experiments were conducted: experiment one evaluated the effect of pressing force on oil output parameters using the pressing vessel of diameter 30 mm at a constant pressing speed of 4 mm/min; experiment two investigated the effect of pressing vessel diameters on oil output parameters at constant pressing speed of 5 mm/min and experiment three analyzed the optimal input factors (force, heating temperature and heating time) and their determined parameters (oil yield, oil expression efficiency and energy) using the pressing vessel diameter 30 mm at a constant speed of 4 mm/min. The input factors were set at three levels each. The design of the experiment three was based on theBoxBehnken and response surface approaches. The data obtained were statistically analyzed by employing the correlation, ANOVA and response surface regression analyses. The results show that oil yield and oil expression efficiency were not statistically significant (p > 0.05) with the increase in diameter of the pressing vessel whereas the energy and stress parameters were statistically significant (p < 0.05). The increase in pressing force significantly increased the oil output parameters. The regression models described for the determined parameters were statistically significant. The optimized input factors (force: 4.8 kN (+1), heating temperature: 40 (-1) and heating time: 45 min (0)) and desirability values between 0.999 and 1 were the found for the parameters (oil yield, 𝑂𝑦𝑑(%) oil expression efficiency, 𝑂𝑒𝑥𝑝 (%) and energy, 𝐸𝑑𝑓(J). In future research, there is the need to validate the regression models established in this study using the compression machine of a maximum load of 500 kN and a pressing vessel of diameter 60 mm at a pressing speed of 4 mm/min.

Keywords

regression models, oil extractoin methods, Oil-bearing crops

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 5. 4. 2023

Obhajoba závěrečné práce

• Obhajoba proběhla 15. 5. 2023
• Vedoucí: doc. Ing. Abraham Kabutey, Ph.D.
• Oponent: Oldřich Dajbych, Ph.D.

Česká zemědělská univerzita v Praze

Technická fakulta

Magisterský studijní program:
Agricultural Engineering