Title :
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
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;
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
DOI :
10.1109/SACI.2009.5136296
