Approximate relative fatigue life estimation methods for thin-walled monolithic ceramic crowns
Source abstract
Abstract
Objectives The objective is to establish an approximate relative fatigue life estimation method under simulated mastication load for thin-walled monolithic restorations. Methods Experimentally measured fatigue parameters of fluormica, leucite, lithium disilicate and yttrium-stabilized zirconia in the existing literature were expressed in terms of the maximum cyclic stress and stress corresponding to initial crack size prior to N number of loading cycles to assess their differences. Assuming that failures mostly originate from high stress region, an approximate restoration life method was explored by ignoring the multi-axial nature of stress state. Experiments utilizing a simple trilayer restoration model with ceramic LD were performed to test the model validity. Results Ceramic fatigue was found to be similar for clinically relevant loading range and mastication frequency, resulting in the development of an approximate fatigue equation that is universally applicable to a wide range of dental ceramic materials. The equation was incorporated into the approximate restoration life estimation, leading to a simple expression in terms of fast fracture parameters, high stress area ΔA, the high stress averaged over ΔA and N. The developed method was preliminarily verified by the experiments. The impact of fast fracture parameters on the restoration life was separated from other factors, and the importance of surface preparation was manifested in the simplified equation. Both the maximum stress and the area of high stress region were also shown to play critical roles. Significance While nothing can replace actual clinical studies, this method could provide a reasonable preliminary estimation of relative restoration life.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Dental materials and restorations · Advanced ceramic materials synthesis · Dental Implant Techniques and Outcomes
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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