TY  - JOUR
N2  - Optimization of inverse vulcanization reaction conditions was carried out using response surface methodology (RSM) and a quadratic model was proposed to predict the sulfur conversion, to limit the amount of the unreacted sulfur left in the final copolymer of sulfur and rubber seed oil (non-edible vegetable oil) for the very first time. ANOVA analysis revealed the significance of the selected conditions and of all, the initial sulfur content was the most influential parameter. Although process optimization substantially increased the sulfur conversion, but there was still 5.8 unreacted sulfur present as revealed by DSC (differential scanning calorimetry) analysis. Filtration using tetrahydrofuran as solvent was carried out to further remove the sulfur particles from the copolymer, this strategy yields a copolymer with only 0.25 unreacted sulfur. The sulfur conversion was further improved using another strategy involving the addition of 5â??10 wt of 1,3-diisopropenyl benzene (DIB) or 2,4,6-Triallyloxy-1,3,5- triazine (TAC) crosslinker to the reaction mixture. The field emission scanning electron microscopy (FESEM) confirmed the presence of smooth surfaces in the copolymers whereas their amorphous nature was evident from powdered X-ray diffraction (p-XRD) results. The terpolymers were observed to be more thermally stable than the copolymer. © 2021 Elsevier Ltd
N1  - cited By 15
KW  - Differential scanning calorimetry; Field emission microscopes; Inverse problems; Oils and fats; Optimization; Organic solvents; Rubber; Scanning electron microscopy; Surface properties
KW  -  Dsc(differential scanning calorimetry); Edible vegetable oil; Field emission scanning electron microscopy; Quadratic modeling; Reaction conditions; Response surface methodology; Tetra-hydrofuran; Thermally stable
KW  -  Sulfur
TI  - Optimization of synthesis of inverse vulcanized copolymers from rubber seed oil using response surface methodology
ID  - scholars15087
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101189041&doi=10.1016%2fj.polymer.2021.123553&partnerID=40&md5=9a9ecddafa7fcf76d03be4f1008d7b0e
JF  - Polymer
A1  - Ghumman, A.S.M.
A1  - Shamsuddin, R.
A1  - Nasef, M.M.
A1  - Nisa Yahya, W.Z.
A1  - Abbasi, A.
VL  - 219
Y1  - 2021///
SN  - 00323861
PB  - Elsevier Ltd
ER  -