文章摘要
赵龙,田祥.凹版印刷产品质量预测数学模型[J].包装工程,2019,40(3):246-252.
ZHAO Long,TIAN Xiang.Mathematical Model for the Quality Prediction of Gravure Printing Products.Packaging Engineering,2019,40(3):246-252.
凹版印刷产品质量预测数学模型
Mathematical Model for the Quality Prediction of Gravure Printing Products
投稿时间:2018-05-29  修订日期:2019-02-10
DOI:10.19554/j.cnki.1001-3563.2019.03.037
中文关键词: 表面粗糙度  厚度  数学模型  凹版印刷  帕累托分析
英文关键词: surface roughness  thickness  mathematical model  gravure printing  Pareto statistical analysis
基金项目:山东省自然科学基金重点资助项目(ZR2015QZ008)
作者单位
赵龙 1.山东职业学院济南 250104 
田祥 2.山东农业大学泰安 271018 
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中文摘要:
      目的 预测凹版印刷产品的表面粗糙度和厚度,以提高印刷图案的质量和速度,实现智能化的快速印刷。方法 利用24全因子试验设计方法,建立包括操作张力、印刷速度、油墨粘度和理论转移量等自变量的数学模型,将各变量之间的相互作用进行帕累托统计分析。结果 印刷图案的表面粗糙度较高,最大值、最小值分别为1.812,1.524 μm,建立凹版印刷图案的厚度和表面粗糙度数学模型决定系数分别为76.32%和82.25%,通过考虑刮刀类型和压区压力等其他参数,可以提高模型的决定系数(R2),进而提高模型的精确度。在高张力(4.0 N)的操作条件下,理论转移量(1.2 cm3/m2)的表面粗糙度更均匀,使用低粘度油墨会导致更大的图像厚度,进而降低制造成本。结论 粘度、速度、张力*速度、速度*粘度、张力*粘度*理论转移量(*表示几个因素共同作用)为厚度变化的主要影响因素。理论转移量、张力*理论转移量、张力*速度、张力、粘度*理论转移量为表面粗糙度变化的主要影响因素,且理论转移量是决定表面粗糙度的最重要因素。
英文摘要:
      The work aims to predict the surface roughness and thickness of gravure printing products to improve the quality and speed of printing patterns, in order to realize the rapid intelligent printing. The mathematical model including such independent variables as operation tension, printing speed, ink viscosity and theoretical transfer volume was established by means of 24 full factorial experiment design method. Pareto statistical analysis was applied to analyze the interaction between the variables. The results showed that the surface roughness of printing pattern was high, with the maximum and minimum values of 1.812 μm and 1.524 μm, respectively. The determination coefficients of the mathematical models for thickness and surface roughness of gravure printing were 76.32% and 82.25%, respectively. By considering other parameters such as scraper type and pressure zone pressure, the determination coefficient (R2) of the model could be improved, thus improving the model accuracy. Under the operating conditions of high tension (4.0 N), the surface roughness of the theoretical transfer volume (1.2 cm3/m2) was more uniform, and the use of low viscosity ink would lead to a greater image thickness and then reduce the manufacturing cost. The major influencing factors for thickness change are viscosity, speed, tension*speed, speed*viscosity and tension* viscosity*theoretical transfer volume (* indicates the combined action of several factors). The major influencing factors for surface roughness are theoretical transfer volume, tension*theoretical transfer volume, tension*speed, tension, viscosity*theoretical transfer volume. The most significant factor in determining the surface roughness is the theoretical transfer volume.
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