Void evaluation of polyurethane foam materials by image processing technology

摘要

We have been investigated the heterogeneity of polymeric composite materials. Distributions of fiber length and fiber direction in fiber reinforced plastics are very importance factor to evaluate materials. By image processing technology, evaluation methodology of these factors has examined. In this study, we attended to the void evaluation of polyurethane foam materials. Void state is significant factor of the heterogeneity. Several kinds of foam materials with different foam states were employed. Each specimen was cut three kinds of part. There were bottom part, middle part and top part, respectively. Image of these cross section were scanned in the computer. Void feature was extracted as white pixels by binary image. Here, influence of threshold on the binary image was investigated, so that the optimum threshold for binary image was attended to be clears the void shape. The algorithm of extraction for geometric information of void was examined. The algorithm measured the void shape and the distribution of void size and direction, so that mis information was evaluated. Moreover, we attended to the correlation between geometric information of void and location in detail.