Production cost optimization of enzyme washing for indigo dyed cotton denim by combining Kriging surrogate with differential evolution algorithm
| العنوان: | Production cost optimization of enzyme washing for indigo dyed cotton denim by combining Kriging surrogate with differential evolution algorithm |
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| المؤلفون: | Sheng Li, Zhenglei He, Wenbo Ke, Jie Xu |
| المصدر: | Textile Research Journal. 90:1860-1871 |
| بيانات النشر: | SAGE Publications, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 0209 industrial biotechnology, Polymers and Plastics, Production cost, Industrial production, 02 engineering and technology, 021001 nanoscience & nanotechnology, Pulp and paper industry, Indigo, 020901 industrial engineering & automation, Kriging, Chemical Engineering (miscellaneous), Denim, 0210 nano-technology, Differential evolution algorithm, Mathematics |
| الوصف: | The enzyme washing process is extensively applied in the industrial production of denim garments. The process parameters of enzyme washing have significant effects on washing performances and costs. Since the relationships between the process parameters and washing performances cannot be expressed explicitly, it is impractical to determine the process parameters to obtain the optimal production cost while satisfying requirements of customers intuitively. This paper proposes an optimization methodology by combining Kriging surrogate and differential evolution (DE) algorithm to address the production cost optimization of enzyme washing for indigo dyed cotton denim. First, an experiment using Taguchi L16 orthogonal array is conducted where temperature and concentration of cellulase enzyme are taken into consideration with processing time as the input parameters, while the washing performances (including color strength value, stiffness, and tensile strength in warp and weft directions of the washed denim fabrics) are the output responses. Second, the relationships between the inputs and outputs are established using the Kriging model. Third, the effects of the input parameters on the washing performances are analyzed, and the production cost optimization model is illustrated. Finally, a case study is given to depict the optimization process and a verification experiment is conducted to verify the effectiveness of the optimal values. On the whole, the proposed hybrid method, Kriging-DE, shows great capability of optimizing the production costs of the enzyme washing process for indigo dyed cotton denim. |
| تدمد: | 1746-7748 0040-5175 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::9bf7c0ccf46bb112d4503fafaead7d2d https://doi.org/10.1177/0040517520904352 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........9bf7c0ccf46bb112d4503fafaead7d2d |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17467748 00405175 |
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