Dispersing organoclay in polystyrene melts: Roles of stress and diffusion

Michail K. Dolgovskij , Frédéric Lortie , Christopher W. Macosko

Journal of Central South University ›› 2007, Vol. 14 ›› Issue (Suppl 1) : 196 -201.

PDF
Journal of Central South University ›› 2007, Vol. 14 ›› Issue (Suppl 1) : 196 -201. DOI: 10.1007/s11771-007-0244-4
Article

Dispersing organoclay in polystyrene melts: Roles of stress and diffusion

Author information +
History +
PDF

Abstract

Organoclay was dispersed in polystyrene of five different relative molecular mass by melt blending. Melt rheology was used to screen the resulting nanocomposite samples for a plateau in the elastic modulus G′. Presence of this plateau behavior indicates a solid-like network in the blend, brought about by dispersion of the organoclay. Using the values of the G′ plateaus for the PS blends, a percolation theory was tested for the nanocomposites and two solvent/organoclay blends. Lowering the blending temperature to take advantage of high mixing viscosity and subsequent high mixing stress allowed for stronger networks to be formed than when processing conditions favored increased diffusion. A constant viscosity mixing study shows that the relative molecular mass is the most prominent variable affecting dispersion in PS nanocomposites and has reaffirmed the importance of stress over diffusion. By applying high stress to 18 kg/mol PS with 1% organoclay, we were able to disperse the clay to an aspect ratio of 60. Several master batching methods and PS-NH2 compatibilizer were also considered.

Keywords

nanocomposite / polystyrene / dispersion / exfoliation / melt blending / stress / diffusion

Cite this article

Download citation ▾
Michail K. Dolgovskij, Frédéric Lortie, Christopher W. Macosko. Dispersing organoclay in polystyrene melts: Roles of stress and diffusion. Journal of Central South University, 2007, 14(Suppl 1): 196-201 DOI:10.1007/s11771-007-0244-4

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

AlexandreM., DuboisP.Materials Science & Engineering, R: Reports, 2000, R28: 1-63

[2]

JiX. L., JingJ. K., JiangW., et al.Polymer Engineering and Science, 2002, 42: 983-993

[3]

HasegawaN., KawasumiM., KatoM., et al.Journal of Applied Polymer Science, 1998, 67: 87-92

[4]

HasegawaN., OkamotoH., KawasumiM., et al.Macromolecular Materials and Engineering, 2000, 280/281: 76-79

[5]

LimY. T., ParkO. O.Macromolecular Rapid Communications, 2000, 21: 231-235

[6]

MorganA. B., GilmanJ. W.Journal of Applied Polymer Science, 2003, 87: 1329-1338

[7]

KrishnamoortiR., YurekliK.Current Opinion in Colloid & Interface Science, 2001, 6: 464-470

[8]

KrishnamoortiR., VaiaR. A., GiannelisE. P.Chemistry of Materials, 1996, 8: 1728-1734

[9]

KrishnamoortiR., GiannelisE. P.Macromolecules, 1997, 30: 4097-4102

[10]

GelferM., SongH. H., LiuL., et al.Polymer Engineering and Science, 2002, 42: 1841-1851

[11]

OkamotoM., NamP. H., MaitiP., et al.Nano Letters, 2001, 1: 295-298

[12]

SchmidtG., NakataniA. I., HanC. C.Rheologica Acta, 2002, 41: 45-54

[13]

SolomonM. J., AlmusallamA. S., SeefeldtK. F., et al.Macromolecules, 2001, 34: 1864-1872

AI Summary AI Mindmap
PDF

129

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/