Effectiveness of X-ray computed microtomography to determine structure-property relationships of Gutta-percha.
We have shown that Computed Microtomography (CMT) is able to map the internal distribution of the filler particles in ProTaperTM, LexiconTM, and GuttaCoreTMmaterials, and explain the differences in their tensile and ductility properties, prior to mechanical manipulation. Working of uncrosslinked ProTaperTMand LexiconTMsamples resulted in a five-fold increase in ductility and the tensile elongation at break. CMT mapping of the internal structure showed that large, periodic, striations formed across the interior of the sample corresponding to the formation of regions with low filler particle density. In contrast to metals which harden upon working, this migration of particles away from the high stress regions resulted in stress softening, as predicted by the Mullins effect. The results indicate that CMT is an effective method for 3-D visualization of the internal particle distribution which permits the determination of structure-property relationships and facilitates the design of new materials.
Artificial Organ Technology Laboratory, School of Mechanical and Electrical Engineering, Soochow University.|Department of Materials Science and Engineering, Stony Brook University.
Liudi
L
Zhang
Department of Endodontics, School of Dental Medicine, Stony Brook University.
Christopher
C
Joubert
Department of Endodontics, School of Dental Medicine, Stony Brook University.
George
G
Bruder
Department of Materials Science and Engineering, Stony Brook University.
Kai
K
Yang
Jericho High School.
Alexa
A
Aseel-Fine
Brookhaven National Laboratory.
Keith
K
Jones
Department of Materials Science and Engineering, Stony Brook University.
Miriam
M
Rafailovich
D003786:Dental Pulp Cavity; D006171:Gutta-Percha; D019233:Retreatment; D012387:Root Canal Filling Materials; D012389:Root Canal Obturation; D018915:Root Canal Preparation; D055114:X-Ray Microtomography; D014965:X-Rays
D012387:Root Canal Filling Materials; D006171:Gutta-Percha
Computed microtomography; Mullins effect; Nanocomposite materials; Particle redistribution; Stress softening