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Viscoelastic stability of pre-cured resin-composite CAD/CAM structures
Rasha A Alamoush1, Julian D Satterthwaite2, Nick Silikas2
1Dentistry, School of Medical Sciences, The University of Manchester, Manchester, UK; Prosthodontic Department, School of Dentistry, University of Jordan, Amman, Jordan.
Summary
Water storage significantly increases creep deformation in CAD/CAM composites, reducing their dimensional stability. Polymer-infiltrated ceramic networks (PICN) offer superior viscoelastic performance compared to resin composites.
Area of Science:
- Materials Science
- Biomaterials Engineering
- Dental Materials
Background:
- Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM) composite materials are widely used in restorative dentistry.
- Understanding their long-term behavior, particularly viscoelastic properties, is crucial for clinical success.
Purpose of the Study:
- To evaluate the impact of 3-month water storage on the creep deformation and recovery of CAD/CAM composite materials.
- To assess the viscoelastic stability of these materials under simulated oral conditions.
Main Methods:
- Five CAD/CAM composite blocks with varying filler content and one polymer-infiltrated ceramic network (PICN) were tested.
- Specimens were subjected to 24-hour dry storage or 3-month water storage at 37°C.
- A constant compressive stress of 20 MPa was applied for 2 hours, followed by 2 hours of strain recovery monitoring.
Main Results:
- Water storage significantly increased maximum creep strain (0.71%-1.85%) and permanent set (0.087%-0.18%) compared to dry conditions (0.45%-1.09% and 0.033%-0.15%).
- Higher filler loading in resin composites correlated with reduced maximum creep strain.
- PICN demonstrated superior dimensional stability with predominantly elastic deformation.
Conclusions:
- Water storage negatively affects the viscoelastic stability of CAD/CAM resin composites.
- PICN materials exhibit better long-term dimensional stability than traditional resin composites.
- Material selection and understanding environmental effects are critical for predictable clinical outcomes.
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