Fuzzy modeling of the relation between components of thermoplastic composites and their mechanical properties

Author

Johanyák, Z.C. ; Ádámné, A.M.

Author_Institution

Inst. of Inf. Technol., Kecskemet Coll., Kecskemet, Hungary

fYear

2009

fDate

28-29 May 2009

Firstpage

481

Lastpage

486

Abstract

Thermoplastic composites are widely used in various areas. In several cases their applicability is determined by their mechanical properties that depend on the proper mixing of the component polymeric materials. In this paper two low complexity fuzzy models are presented that have been developed for the prediction of Charpy impact strength and yield strength as a function of the percent amount of the components. The model takes as input parameters the percentage of the nanotube and ABS.

Keywords

carbon nanotubes; filled polymers; fuzzy reasoning; impact strength; materials science computing; yield strength; ABS; C; Charpy impact strength; carbon nanotube; fuzzy modeling; mechanical properties; polycarbonate polymers; polymeric materials; thermoplastic composites; yield strength; Carbon nanotubes; Educational institutions; Fuzzy systems; Humans; Immune system; Mechanical factors; Polymers; Predictive models; Raw materials; Thermal resistance;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Computational Intelligence and Informatics, 2009. SACI '09. 5th International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-1-4244-4477-9

Electronic_ISBN

978-1-4244-4478-6

Type

conf

DOI

10.1109/SACI.2009.5136296

Filename

5136296