Abstract
Introduction This study examined Vickers hardness as well as surface characteristics of different computer-aided design/ computer-aided manufacturing (CAD/CAM) resin composites prior to and after storage in various media. Materials and methods CAD/CAM resin composite blocks (Grandio Blocs (GB), Lava Ultimate (LU), Brilliant Crios (BC), Cerasmart (GC), Shofu Block HC (SB), Tetric CAD (TC), Luxacam ...
Abstract
Introduction This study examined Vickers hardness as well as surface characteristics of different computer-aided design/ computer-aided manufacturing (CAD/CAM) resin composites prior to and after storage in various media. Materials and methods CAD/CAM resin composite blocks (Grandio Blocs (GB), Lava Ultimate (LU), Brilliant Crios (BC), Cerasmart (GC), Shofu Block HC (SB), Tetric CAD (TC), Luxacam Composite (LC); incl. different translucency variants) were prepared, polished and surface free energy was determined. The specimens were divided into four groups: dry conditions for 24 h (25 degrees C), demineralized water (37 degrees C), Pepsi Cola (37 degrees C) and 75% ethanol (37 degrees C). After seven and 28 days of storage, Vickers hardness was determined. Surface roughness was measured after the entire storage period. Results and discussion Vickers hardness was in the range of about 150 HV for GB, around 115 HV for LU, and 80-100 HV for BC, GC, SB, TC and LC. Only minor differences (total: 50.2 (6.4)-56.2 (3.2) mN/m) in surface free energy could be detected. No relationship was observed between surface free energy and filler content. However, a correlation between filler content and Vickers hardness was evident. Artificial aging caused a decrease of Vickers hardness (up to -40 HV or 35%) depending on storage media, duration and material. The changes in surface texture after immersion in different media were below a value of Delta Sa = 0.015 mu m. Conclusion Artificial aging of CAD/CAM resin composites leads to a significant decrease of Vickers hardness for most materials, while only small changes in surface roughness were identified. [GRAPHICAL ABSTRACT]
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