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Open AccessArticle

Model Prediction and Optimization of Waste Lube Oil Treated with Natural Clay

Department of Chemical Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
Processes 2019, 7(10), 729; https://doi.org/10.3390/pr7100729
Received: 19 August 2019 / Revised: 26 September 2019 / Accepted: 2 October 2019 / Published: 11 October 2019
(This article belongs to the Section Computational Methods)
In this work, used lube oil was treated using natural acid-free clay. Clay was added at different amounts (5, 10, and 20 g) to 100 mL of waste engine oil at various temperatures (250, 350, 400, and 450 °C) and mixed at a speed of 800 rpm for 30 min. After settling and separation, the treated oil was diluted with kerosene before being examined using a Ultraviolet–visible (UV) spectrophotometer. In order to achieve cost-effective recycling, this process is modeled using the response surface method (RSM). Five regression models (linear, quadratic, Two Factor Interactions (2FI), cubic, and reduced-order quadratic model) were developed, then tested, and examined by calculating the statistical performance indicators (R2, R2adj, Akaike’s Information Criterion corrected (AICc), Bayesian Information Criterion (BIC), and Root Mean Square Error (RMSE)). The results obtained reveal that the modified quadratic model outperforms the rest of the models in terms of the low value of RMSE, the lowest AICc, lowest BIC, and the highest R2 and R2adj. The developed modified quadratic model is optimized successfully to predict optimum operation conditions. Results show that optimum operation conditions are at the minimum area under the curve for UV absorption at 223.358; this can be achieved with a process temperature of 266.246 °C and clay quantity of 5.331 g. This model agreed with experimental data regardless of the effectiveness of red clay in the therapy of lube oil.
Keywords: lube oil treatment; UV-VIS spectrophotometer; response surface method; ANOVA statistical test; process optimization lube oil treatment; UV-VIS spectrophotometer; response surface method; ANOVA statistical test; process optimization
MDPI and ACS Style

Osman, H. Model Prediction and Optimization of Waste Lube Oil Treated with Natural Clay. Processes 2019, 7, 729.

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