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'Green' computer colour matching system for pollution prevention in textile wet processing.

机译:“绿色”计算机色彩匹配系统可防止纺织品湿法加工中的污染。

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摘要

The ecological and toxicological properties of various dye classes as well as the impact of different dye classes on the environment has been studied preliminarily with reference to a total number of 380 Safety Data Sheets (SDS) obtained from 2 reputed environmental aware dyestuff suppliers. The purposes of this preliminary study are to study the quantitative and qualitative characteristics of different dye classes and to choose a specific dye class for further analysis. The results showed that each dye class produces waste of vastly differing quantities and characteristics. Also, reactive dye class has been identified for detailed study.; Six important pollution parameters of 15 dyes from 2 different series of dyes (Cibacron F and Cibacron LS) have been examined so as to establish the waste indicator database.; The best fit mathematical model used in regression analysis has been predicted for describing the relationship between each pollution parameter of the dye and the corresponding pollution parameter of the dyeing effluents.; A new breed of Computer Colour Matching (CCM) system called “Green” Computer Colour Matching (GCCM) system has been developed by incorporating the waste indicator database and the established mathematical models into a traditional CCM system. The detailed mathematical steps required for colourant formulation and the programming logic used for the development of the “Green” Computer Colour Matching (GCCM) System has been discussed. The algorithm of colourant formulation and recipe correction has been described thoroughly and Matrix Algebra has been used to solve the colourant formulation equations. A General Pollution Index (GPI) representing the overall pollution information of the dyeing recipes has been created by the summation of the normalised pollution indicators. Microsoft Visual Basic (VB) has been chosen to create the GCCM program. (Abstract shortened by UMI.)
机译:参照从2家知名的环保染料供应商处获得的380份安全数据表(SDS),初步研究了各种染料类别的生态和毒理特性以及不同染料类别对环境的影响。这项初步研究的目的是研究不同染料类别的定量和定性特征,并选择一种特定的染料类别进行进一步分析。结果表明,每种染料类别都会产生数量和特性差异很大的废料。另外,已经确定了活性染料类别以进行详细研究。检查了两种不同系列染料(Cibacron F和Cibacron LS)中15种染料的六个重要污染参数,以建立废物指标数据库。预测了用于回归分析的最佳拟合数学模型,用于描述染料的每个污染参数与相应的染色废水污染参数之间的关系。通过将废物指标数据库和已建立的数学模型整合到传统的CCM系统中,已经开发了一种新型的计算机色彩匹配(CCM)系统,称为“绿色”计算机色彩匹配(GCCM)系统。讨论了着色剂配方所需的详细数学步骤,以及用于开发“绿色”计算机色彩匹配(GCCM)系统的编程逻辑。着色剂配方和配方校正的算法已得到详尽描述,矩阵代数已用于求解着色剂配方方程。通过归一化污染指标的总和,创建了一个总污染指数(GPI),它表示整个染色配方的污染信息。已选择Microsoft Visual Basic(VB)创建GCCM程序。 (摘要由UMI缩短。)

著录项

  • 作者

    Kwok, Wing Yin Keith.;

  • 作者单位

    Hong Kong Polytechnic (People's Republic of China).;

  • 授予单位 Hong Kong Polytechnic (People's Republic of China).;
  • 学科 Textile Technology.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 376 p.
  • 总页数 376
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 轻工业、手工业;
  • 关键词

  • 入库时间 2022-08-17 11:46:38

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