Abstract: Disclosed herein is a method comprising inspecting a mold for a defect; determining a type of defect present on the mold; sorting the mold by type of defect present; treating the mold with a cleaning process that is suitable to remove the defect; and pressing the mold against a polymeric film to produce a series of defect free light management films; wherein the yield of light management films manufactured from the mold is higher than the yield of light management films that are produced from a comparative mold that has not been treated with the cleaning process.

Abstract: Statistical models for quantifying and predicting human perception of scratches on automotive components are disclosed. Such models may be created by utilizing quantitative two-step moving scale surveys. Such surveys employ a continuous scale to model human perception and allow response bias and measurement error in survey data to be evaluated. Once survey data is collected, relationships between the visual perception of the scratches and the measurable optical properties associated with the scratches can be determined. Additionally, relationships between the visual perception of the scratches and the actual physical scratch dimensions can be determined. Thereafter, models for predicting the human perception of such scratches can be created therefrom. Since these models predict the results of such surveys, the need for repeatedly collecting survey data is eliminated. These models may also be used for predicting human perception of other items of interest.