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Research on Prediction Method of Paper Linting and Dusting in Offset Printing Process Based on Image Processing
Received:June 02, 2022  
DOI：10.11980/j.issn.0254-508X.2023.01.012
Key Words:paper  linting and dusting  print-resistant length  printing resistance  offset printing
Fund Project:浙江省“尖兵”研发攻关计划项目（2022C01066）；浙江省自然科学基金项目（LY20C160006）。
Author NameAffiliationPostcode
ZHANG Meng* College of Environment and Resources， Zhejiang University of Science and Technology， Hangzhou， Zhejiang Province， 310023 310023
GUO Daliang College of Environment and Resources， Zhejiang University of Science and Technology， Hangzhou， Zhejiang Province， 310023 310023
QIU Jiaxin College of Environment and Resources， Zhejiang University of Science and Technology， Hangzhou， Zhejiang Province， 310023 310023
LIU Bei College of Environment and Resources， Zhejiang University of Science and Technology， Hangzhou， Zhejiang Province， 310023 310023
YANG Zijie College of Environment and Resources， Zhejiang University of Science and Technology， Hangzhou， Zhejiang Province， 310023 310023
NIU Yuhao College of Environment and Resources， Zhejiang University of Science and Technology， Hangzhou， Zhejiang Province， 310023 310023
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Abstract:A quantitative prediction method for the problem of paper surface linting and dusting in offset printing process was established in this study. Five different batches of light weight coated paper from a paper enterprise were selected as paper samples， and the relationship between printing resistance and related permeants such as surface performance， particle area and number of linting and dusting was studied. Under the conditions of test method established in the experiment， the print resistance of the paper in the post-processing was negatively correlated with both of the number of large particles （particle area of 0.02~0.3 mm2） and the number of small particles （particle area <0.02 mm2）. By testing the paper samples from another paper enterprise， the predicted print-resistant length value obtained from the print-resistant length prediction curve was consistent with the actual print-resistant length.
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