A factorial experimental design for oxidative thermal decomposition of low-density polyethylene waste

Prediction of liquid yields from the pyrolysis of waste mixtures using response surface methodology

“…All the other aromatic compounds analysed showed contents below these values. These results agree with those of literature [13,18]. The high contents of ethylbenzene may be explained by rearrangements and hydrogen transfer in radicals formed during the first stage thermal waste degradation.…”

“…The effect of reaction time, temperature and initial pressure on the yield and composition of liquid products for a selected waste mixture composition was studied. The use of RSM allows a response evaluation with the same precision as the one obtained if only a single variable was studied in the same experimental range [18]. In the present case, all k factors (x i , i = 1 to k) represent chosen quantitative variables Decanted liquids yield estimated by the second order model (second interval) z 1 Coded factor temperature z 2 Coded factor initial nitrogen pressure z 3 Coded factor reaction time affecting the unknown system response Y.…”

Study of phenol removal by cloud point extraction: A process optimization using experimental design

“…The use of experimental design to assess a wide range of studies has produced important results, including the optimization of the mechanical properties of cement containing residue of boron (PN) and rice husk ash (RHA) [21]. It has also impacted positively the study of phenol and flavonoid extraction and antioxidant recovery from palm kernel by-product [22]; the analysis of the main and interaction effects of operational parameters on photocatalytic degradation of oxalic acid in a batch photoreactor using TiO 2 aqueous suspension [23]; the optimization of cobalt aluminate synthesis [24]; and the study of oxidative thermal decomposition of low-density polyethylene residue [25].…”