摘要
采用特殊处理后的打印机润湿纸张，通过调整打印图片的灰度准确控制纸张的润湿量。之后用光学轮廓仪和探针台阶仪测定了纸张遇水前后的表面均方根粗糙度（Rq）变化，并对Rq值进行了带通滤波分析。结果显示，1．28～2．56mm的纤维组分足造成含高得率浆纸张粗化的主要原因。以最大熵原则作为阈值的选取标准测定了二值化后的纸张涂层覆盖率。结果表明，依照此原则进行二值化可以较真实地反应涂层的覆盖情况，测定的涂层覆盖率结果可间接反映纸张的遇水粗化程度。
In this study, base paper with/without HYP was dampened with an improved inkjet printer, the surface roughness Rq during roughening was measured by optical profiler and stylus profiler, the frequency spectrum analysis was also used. The results showed that： 1.28 - 2.56 mm fibers contributed to the main causes of roughening. In addition, binarization based on Maximum Entropy algorithm was ap- plied to evaluate the coating coverage, and experimental result indicates that the proposed method is more objective and accurate than visual assessment of coating coverage, can be used as an indirect characterization of roughening.
出处
《中国造纸》
CAS
北大核心
2010年第3期36-40,共5页
China Pulp & Paper
关键词
涂布原纸
粗化
频谱分析
涂层覆盖率
base paper
roughening
frequency spectrum analysis
coating coverage
