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Research on Testing and Controlling Technology of Printing Ink Quality Based on Neural Networks

Author: YaoJing
Tutor: QianJunHao
School: Jiangnan University
Course: Printing Engineering and Media Technology
Keywords: Ink Printability Ink physical characteristics Detect Neural Networks Neural Network PID Viscosity control
CLC: TP273.5
Type: Master's thesis
Year: 2008
Downloads: 157
Quote: 1
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Abstract


The study many aspects need to proceed from the nature of the ink , the study of the ink printability printability . Ink as one of the important and indispensable raw materials in the printing process , and its performance is good or bad printing quality , great impact . Therefore , how to detect and control the quality of the printing ink has important theoretical significance and practical value . This article describes the ink evaluation of the physical characteristics and the target range and classification . BP neural network applications in the detection of the physical characteristics of ink according to the characteristics of the quality inspection of the printing ink , and a simulation study . The simulation results show that this method can rapidly and accurately detect the quality level of the sample . The article also describes the algorithm of the neural network PID (proportion, integral and differential) control theory, simulation studies , the comparative analysis of the characteristics of conventional PID and neural network PID control . Simulation results show that the algorithm achieved satisfactory control effect in the viscosity control .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Computer control, computer control system
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