• DocumentCode
    1735477
  • Title

    Polynomial regression fitting analysis on influencing factors for printing ink transfer rate

  • Author

    Fang, Wang ; Long, Wang

  • Author_Institution
    Sch. of Mechatron. Eng., Xi´´an Technol. Univ., Xi´´an, China
  • fYear
    2012
  • Firstpage
    9
  • Lastpage
    13
  • Abstract
    According to ink transfer law, the text analyses the developing trend on influencing factors of ink transfer rate including printing speed, printing pressure and printing material. Through large amounts of experiments, three types of influencing datas have been obtained. Based on polynomial regression method, experimental datas have been fit with Matlab software and the fitting curves of the three influencing laws on ink transfer rate can be gotten. By analyzing the tendency of the influence of three factors quantitatively, the results show surface smoothness of printing material has the least influence on ink transfer rate in three factors including printing speed, printing pressure and printing material, and the printing speed and printing pressure have similar influence on ink transfer rate roughly. The experimental research has active significance to take corresponding measures to control processing parameter, keep printing process and ensure stabitity of printing mass.
  • Keywords
    curve fitting; ink; polynomial approximation; printing; process control; regression analysis; text analysis; Matlab software; curve fitting; ink transfer law; polynomial regression fitting analysis; printing ink transfer rate; printing mass stability; printing material; printing pressure; printing process; printing speed; processing parameter control; surface smoothness; text analysis; Fitting; Ink; Mathematical model; Polynomials; Printing; ink transfer; printing material; printing pressure; printing speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, Automatic Detection and High-End Equipment (ICADE), 2012 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1331-5
  • Type

    conf

  • DOI
    10.1109/ICADE.2012.6330089
  • Filename
    6330089