2019
DOI: 10.3390/pr7100729
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 re… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 32 publications
0
1
0
Order By: Relevance
“…The F-values of each model were 10.24 and 21.58, respectively. To verify the significance of the model terms, the p-value of the model should be less than 0.05 [48,49]. The p-values of each model were 0.0006 and <0.0001.…”
Section: Optimization Of Thermal-alkaline Pretreatment By Rsmmentioning
confidence: 99%
“…The F-values of each model were 10.24 and 21.58, respectively. To verify the significance of the model terms, the p-value of the model should be less than 0.05 [48,49]. The p-values of each model were 0.0006 and <0.0001.…”
Section: Optimization Of Thermal-alkaline Pretreatment By Rsmmentioning
confidence: 99%