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OPTIMIZATION OF SMALL PARTICLE COMPOSITES

小颗粒复合材料的优化

基本信息

批准号：
3221806
负责人：
TRITALA K VAIDYANATHAN
金额：
$ 12.49万
依托单位：
UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL
依托单位国家：
美国
项目类别：
财政年份：
1987
资助国家：
美国
起止时间：
1987-09-01 至 1993-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/3221806
关键词：
barium biomaterial evaluation biomechanics composite resins computer data analysis mathematics particle silicates strontium tensile strength

项目摘要

Despite the advances in the field of composite technology and its use in restorative dentistry, there has been no reported systematic study of the role of filler parameters on the properties of composite materials. Among these parameters arefiller material composition, filler volume fraction and average filler particle size. There is a need to understand the role of each of these parameters on the properties of composites under conditions of known particle size distribution and fixed resin matrix composition. This proposal seeks to determine the relationship between variations in filler material composition, average filler particle size and filler volume fractions and the corresponding changes in several properties of composite resins. For this purpose, filler material composition, filler volume fractions and average filler particle size will be varied in a series of experimental composite formulations. A 4x5x5 factorial design will be used for the layout. Four filler compositions to be studied are Barium borosilicate; strontium borosilicate; Borosilicate and quartz. Five different average particles sizes in the size range 1 - 10 um and five different volume fractions in the range 0.4 less than or equal to Vf less than or equal to 0.75 will be used in the study. The following properties will be evaluated: (1) compressive strengths, (2) Diametral tensile strenght, (3) Barcol hardness, (4) Depth of cure of visible light cured formulation, (5) wear, (6) polishability and (7) watersorption. One chemical cure and one light cure resin composition will be used as the matrix phase. Analysis of the data will involve testing of the null hypothesis by multivariate analysis of variance (MANOVA) followed by regression analysis if the null hypotheses are rejected. Microstructural analysis of optimized and other selected formulations will be focused o the presence of voids and particle- matrix interfacial integrity.

尽管复合材料技术及其应用领域取得了进步在牙科修复中的应用，尚未见报道系统研究填料参数对性能的影响的复合材料。这些参数中有filler 材料成分、填料体积分数和平均填料颗粒大小。需要了解每个角色的作用这些参数对复合材料性能的影响已知粒度分布和固定树脂基质作品。该提案旨在确定关系填料材料成分的变化之间，平均填料颗粒尺寸和填料体积分数以及相应的复合树脂的多种性能发生变化。为了这用途、填料材料成分、填料体积分数和平均填料粒径将在一系列变化实验复合配方。 4x5x5 因子设计将用于布局。有待研究的四种填料组合物是硼硅酸钡；硼硅酸锶；硼硅酸盐和石英。尺寸范围 1 中五种不同的平均粒径 - 10 um 和 0.4 以下范围内的五种不同体积分数小于或等于 Vf 小于或等于 0.75 将用于学习。将评估以下属性：(1) 抗压强度，(2) 径向拉伸强度，(3) Barcol 硬度，(4) 可见光固化配方的固化深度，(5) 磨损性、(6) 抛光性和 (7) 吸水性。一种化学治疗并且将使用一种光固化树脂组合物作为基质阶段。数据分析将涉及零值测试通过多元方差分析 (MANOVA) 进行假设如果零假设被拒绝，则进行回归分析。优化和其他选定的微观结构分析配方将重点关注空隙和颗粒的存在基质界面完整性。