Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, India.
Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, India.
J Mech Behav Biomed Mater. 2019 Nov;99:86-92. doi: 10.1016/j.jmbbm.2019.06.026. Epub 2019 Jun 28.
This paper investigates the effect of %wt composition of BisGMA/TEGDMA, stirring time, bench time, curing time and filler loading on polymerization shrinkage and micro-hardness of resin based dental composites. The investigation was carried out in two stages. In first stage, samples were prepared with different %wt composition of BisGMA/TEGDMA, stirring time, bench time, and curing time to access the effect of different input parameters for minimum polymerization shrinkage and maximum micro-hardness using Taguchi methodology. Selecting optimum values of input factors from first stage, second stage optimization was performed to investigate the effects of different filler loading on different %wt composition of BisGMA/TEGDMA using full factorial design. Prediction model was developed using Design Expert software and analysis of effect of input parameters on output responses were carried out using 3D surface plots. ANOVA were performed to check the significance of prediction model. In first stage, optimum stirring time, bench time and curing time were found to be 4 h, 50 min and 30 s, respectively. In second stage, optimum polymerization shrinkage and micro-hardness of 3.54% and 310 H were predicted at 22.89% of TEGDMA content and 20% filler loading. Taguchi methodology and full factorial design were successfully implemented to access the effect of multi-input parameters on responses for resin based dental composites.
本文研究了 BisGMA/TEGDMA 的重量百分比组成、搅拌时间、台时间、固化时间和填料负载对树脂基牙科复合材料聚合收缩和显微硬度的影响。该研究分两个阶段进行。在第一阶段,使用 Taguchi 方法,通过制备不同 BisGMA/TEGDMA 的重量百分比组成、搅拌时间、台时间和固化时间的样品,来研究不同输入参数对最小聚合收缩和最大显微硬度的影响。从第一阶段选择最佳输入因素值,在第二阶段使用完全析因设计,研究不同填料负载对不同 BisGMA/TEGDMA 重量百分比组成的影响。使用 Design Expert 软件建立预测模型,并使用 3D 表面图对输入参数对输出响应的影响进行分析。进行方差分析以检查预测模型的显著性。在第一阶段,发现最佳搅拌时间、台时间和固化时间分别为 4 小时、50 分钟和 30 秒。在第二阶段,预测在 TEGDMA 含量为 22.89%和填料负载为 20%时,聚合收缩和显微硬度的最佳值分别为 3.54%和 310 H。成功实施了 Taguchi 方法和完全析因设计,以评估多输入参数对树脂基牙科复合材料响应的影响。