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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Reis, A.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023An ethics framework for social listening and infodemic managementcitations
- 2023A Review on Direct Laser Deposition of Inconel 625 and Inconel 625-Based Composites-Challenges and Prospectscitations
- 2023Adding Value to Secondary Aluminum Casting Alloys: A Review on Trends and Achievementscitations
- 2023A Predictive Methodology for Temperature, Heat Generation and Transfer in Gigacycle Fatigue Testingcitations
- 2023Infiltration of aluminum in 3D-printed metallic inserts
- 2022Finite Element Analysis of Distortions, Residual Stresses and Residual Strains in Laser Powder Bed Fusion-Produced Components
- 2022Automation of Property Acquisition of Single Track Depositions Manufactured through Direct Energy Depositioncitations
- 2022Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field modelcitations
- 2020Smart Data Visualisation as a Stepping Stone for Industry 4.0-a Case Study in Investment Casting Industrycitations
- 2020Automatic Visual Inspection of Turbo Vanes produced by Investment Casting Processcitations
- 2019Fracture characterization of a cast aluminum alloy aiming machining simulationcitations
- 2019Mechanical characterization of the AlSi9Cu3 cast alloy under distinct stress states and thermal conditionscitations
- 2017Simulation Studies of Turning of Aluminium Cast Alloy Using PCD Toolscitations
- 2017Comparison Between Cemented Carbide and PCD Tools on Machinability of a High Silicon Aluminum Alloycitations
- 2016Laboratory performance of universal adhesive systems for luting CAD/CAM restorative materials
- 2016Development of a Flexible, Light Weight Structure, Adaptable to any Space through a Shape Shifting Featurecitations
- 2016Integrated thermomechanical model for forming of glass containerscitations
- 2012Damage Prediction in Incremental Forming by Using Lemaitre Damage Modelcitations
- 2012Custom Hip Prostheses by Integrating CAD and Casting Technology
- 2002Finite-element simulation and experimental validation of a plasticity model of texture and strain-induced anisotropy
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article
Laboratory performance of universal adhesive systems for luting CAD/CAM restorative materials
Abstract
PURPOSE: To evaluate the microshear bond strength (μSBS) of several universal adhesive systems applied on five different indirect restorative materials. MATERIALS AND METHODS: Five CAD/CAM materials were selected: 1) indirect resin composite (LAV); 2) feldspathic glass ceramic (VTR); 3) leucite-reinforced glass-ceramic (EMP); 4) lithium disilicate ceramic (EMX); 5) yttrium-stabilized zirconium dioxide (CZI). For each material, 15 blocks were cut into 4 rectangular sections (6 × 6 × 6 mm) (n = 60 per group), and processed as recommended by the respective manufacturer. For each indirect material, the following adhesive systems were applied according to the respective manufacturer's instructions: 1) AdheSE Universal [ADU]; 2) All-Bond Universal (ABU); 3) Ambar Universal (AMB); 4) Clearfil Universal (CFU); 5) Futurabond U (FBU); 6) One Coat 7 Universal (OCU); 7) Peak Universal Bond (PUB); 8) Prime&Bond Elect (PBE); 9) Scotchbond Universal Adhesive (SBU); 10) Xeno Select (XEN, negative control). After the application of the adhesive system, cylinder-shaped transparent matrices were filled with a dual-curing resin cement (NX3) and light cured. Specimens were stored in water (37°C for 24 h) and tested in shear mode at 1.0 mm/min (mSBS). The failure pattern and μSBS were statistically evaluated (a = 0.05). RESULTS: LAV, VTR, and EMP showed a greater number of cohesive fractures than EMX and CZI (p < 0.0001). PUB was the only adhesive for which the mean μSBS reached the highest ranking of statistical significance for all five substrates. When each adhesive was compared across the five substrates, 8 out of 10 (ADU, ABU, AMB, CFU, OCU, PUB, PBE, and SBU) reached the statistically highest mean μSBS when applied on CZI. CONCLUSION: The specific chemical composition of universal adhesives was not the decisive factor in the bond strength values measured for different CAD/CAM indirect materials. There was a wide variability in mean μSBS when different universal adhesives were applied to the several CAD/CAM indirect materials. Most universal adhesives bonded well to air-abraded zirconia.