标准摘要
[中文适用范围]： ISO 9276 的这一部分规定了根据统计背景将实验曲线调整为参考模型的方法。 此外，还规定了调整后残余偏差的评估。 参考模型还可以作为维持产品质量的目标尺寸分布。 ISO 9276的本部分规定了适用于以下参考模型的程序： a) 正态分布（拉普拉斯-高斯）：通过沉淀、冷凝或天然产物（花粉）获得的粉末； b) 对数正态分布（Galton MacAlister）：通过研磨或压碎获得的粉末； c) Gates-Gaudin-Schuhmann分布（双对数）：细颗粒分布极值分析； d) Rosin-Rammler分布：粗颗粒分布极值分析； e) 如果使用非线性拟合方法，则任何其他模型或模型组合（参见附录 C 中的双峰示例）。 ISO 9276 的这一部分可以极大地支持与粒度分布分析相关的产品质量保证或流程优化。 [外文原描述]： ISO 9276-3:2008 specifies methods for the adjustment of an experimental curve to a reference model with respect to a statistical background. Furthermore, the evaluation of the residual deviations, after the adjustment, is also specified. The reference model can also serve as a target size distribution for maintaining product quality. ISO 9276-3:2008 specifies procedures that are applicable to the following reference models: a) normal distribution (Laplace-Gauss): powders obtained by precipitation, condensation or natural products (pollens); b) log-normal distribution (Galton MacAlister): powders obtained by grinding or crushing; c) Gates-Gaudin-Schuhmann distribution (bilogarithmic): analysis of the extreme values of the fine particle distributions; d) Rosin-Rammler distribution: analysis of the extreme values of the coarse particle distributions; e) any other model or combination of models, if a non-linear fit method is used. ISO 9276-3:2008 can substantially support product quality assurance or process optimization related to particle size distribution analysis.
英文名称Representation of results of particle size analysis — Part 3: Adjustment of an experimental curve to a reference model