Objective: One of the most important practical deficiencies of present denture base materials is fracture, therefore many
attempts have been made to reinforce of the repaired denture base resin. A desirable objective for this service is to obtain
optimum strength for repairs, which can be achieved by making available a good bond between original and repaired
materials.
Methodology: The present study was carried out to evaluate and compare the transverse strength of acrylic specimens
repaired by two different materials (hot-cure and cold-cure acrylic resin). A total of 50 specimens were prepared by hot
(40) repair: (10) by hot with retention bead, (10) by cold with retention bead and (10) repair by hot only, (10) repair by cold
only, and (10) un repair control made from hot cure acrylic resin. Transverse strength was measured for each specimen
using three points bending on a brinell transverse testing machine.
Results: The result showed that the repair with heat-cure acrylic resin with retention bead has a significant higher than the
repair with cold-cure acrylic resin with retention bead and higher than control specimen (unrepaired).
Recommendations: It can be concluded that the hot acrylic resin with retention bead are an important parameter in the
reinforcement of repaired acrylic denture base resin.
Effect of Addition Retention Bead and Repair Material on Transverse Strength of Repaired Acrylic Denture Resin
Auto-polymerizing Resin
Transverse Strength
Repair
Retention Bead
Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
Exponentiated Weibull Distribution (EWD)
Reliability of multi-component Stress – Strength models R(s
k)
Maximum likelihood estimator (MLE)
Moment estimator (MOM)
shrinkage method (Sh)
Least Squares Estimator (LS)
Rank Set Sampling (RSS). and mean squared error (MSE).
In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria
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