Artificial neural network approach for predicting colour properties of laser-treated denim fabrics

Hung, O. N.; Chan, C. K.; Kan, Chi Wai; Yuen, C.W.M.; Song, Liu

doi:10.1007/s12221-014-1330-5

Cited by 27 publications

(15 citation statements)

References 15 publications

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“…Due to the increasing concerns on environmental protection issue, CO 2 laser treatment is a method for surface treatment which is based purely on physical interaction between the laser and the material surface [8][9][10][11][12]. Previous studies reveal that CO 2 laser treatment is a good candidate for changing aesthetic properties of materials in fabric form [13][14][15]. With careful control of CO 2 laser treatment process parameters, the aesthetic effects (surface textual effects) can be controlled with minimum damage of the material itself [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

An Analysis of Effect of CO2 Laser Treatment on Carbon Fibre Fabric

et al. 2018

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Abstract:The colour of carbon fibre fabric is black which limits its aesthetic properties. CO 2 laser has been used for cutting carbon fibres. The impact of CO 2 laser treatment to modify the surface of carbon fibre fabric is investigated in this work. Different combinations of laser process parameters, i.e., pixel time (110, 120, 130, 140, 150, 160, 170, 180, 190 and 200 µs, with 10 µs intervals) and resolution (70, 80, 90 and 100 dpi (dots per inch), with 10 dpi intervals), were used for treating carbon fibre fabric surface. Since the laser process is a surface treatment, contact angle measurement was used for evaluating the wetting property imparted after laser processing. The resistivity of the laser-treated carbon fibre fabric was measured to evaluate any effect on the original electrical property of the carbon fibre fabric. Moreover, surface morphology and functionality of laser-treated carbon fibre fabric were assessed by scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy-attenuated total internal reflectance (FTIR-ATR), respectively. SEM assessment was to examine the physical change in the carbon fibre surface after laser processing. On the other hand, the FTIR-ATR measurement can help to evaluate the chemical change in the carbon fibre surface after laser processing.

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Section: Introductionmentioning

confidence: 99%

An Analysis of Effect of CO2 Laser Treatment on Carbon Fibre Fabric

et al. 2018

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“…It is easy to apply and control, and is totally environmentally clean with no consumption of water and chemicals. [10][11][12][13][14]…”

mentioning

confidence: 99%

Microscopic study of the surface morphology of CO₂ laser-treated cotton and cotton/polyester blended fabric

Hung

Chan

Kan

et al. 2016

Textile Research Journal

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This paper presents how the morphology of fibers is affected by CO2 laser treatment. The change in morphology of fibers induced by a laser affects the physical and mechanical properties of the fabric, such as water absorption, dye uptake, resistance to wrinkles and adhesion to other materials, etc. The morphology of laser-treated fibers was analyzed by scanning electron microscopy (SEM). Samples of cotton twill fabric, cotton/polyester blended twill fabric and cotton knitted fabrics with different yarn counts were studied before and after laser treatment. SEM images reveal different sizes of pores and cracks on the surface of cotton fibers. In the case of cotton/polyester blended twill fabric, the two types of fibers responded differently to laser treatment; the change in cotton fibers was slightly different from the SEM images of 100% cotton twill fabric. The number of pores and cracks on the fiber surface of cotton/polyester fabric was lower than that found in 100% cotton twill fabric. Polyester fibers melt and flow while cotton fibers are encased in resolidified polyester. For 100% cotton knitted fabrics, the thickest yarn with the lowest yarn twist exhibited the largest change when compared with fabrics knitted with lower yarn counts. The degree of change of fiber surface modification was enhanced with an increase of laser processing variables.

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“…Artificial neural networks (ANN) approach is one of the most commonly used machine learning methods. Hung et al 8,9 adopted ANN to predict colour properties of laser-treated fabrics. Tadesse et al 10 and Yu et al 11 applied ANN for comfort of fabrics.…”

Section: Introductionmentioning

confidence: 99%

Cost optimization of sodium hypochlorite bleaching washing for denim by combining ensemble of surrogates with particle swarm optimization

Liu

et al. 2021

Journal of Engineered Fibers and Fabrics

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Sodium hypochlorite bleaching washing process has been broadly carried out in denim garment industrial production. However, the quantitative relationships between process variables and bleaching performances have not been illustrated explicitly. Hence, it is impractical to determine values of the variables that can achieve the optimal production cost while satisfying the requirements of customers. This paper proposes an optimization methodology by combining ensemble of surrogates (ESs) with particle swarm optimization (PSO) to optimize production cost of chlorine bleaching for denim. The methodology starts from the data collections by conducting a Taguchi L25 (56) orthogonal experiment with the process variables and metrics for evaluating bleaching performances. Based on the data, the quantitative relationships are separately constructed by using RBFNN, SVR, RF and ensemble of them. Then, accuracies of the surrogates are evaluated and it proves that the ESs outperforms the others. Later, the production cost optimization model is proposed and PSO is utilized to solve it, while a case study is given to depict the optimization process and verify the effectiveness of the proposed hybrid ESs-PSO approach. Overall, the ESs-PSO approach shows great capability of optimizing production cost of sodium hypochlorite bleaching washing for denim.

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Artificial neural network approach for predicting colour properties of laser-treated denim fabrics

Cited by 27 publications

References 15 publications

An Analysis of Effect of CO2 Laser Treatment on Carbon Fibre Fabric

An Analysis of Effect of CO2 Laser Treatment on Carbon Fibre Fabric

Microscopic study of the surface morphology of CO₂ laser-treated cotton and cotton/polyester blended fabric

Cost optimization of sodium hypochlorite bleaching washing for denim by combining ensemble of surrogates with particle swarm optimization

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Artificial neural network approach for predicting colour properties of laser-treated denim fabrics

Cited by 27 publications

References 15 publications

An Analysis of Effect of CO2 Laser Treatment on Carbon Fibre Fabric

An Analysis of Effect of CO2 Laser Treatment on Carbon Fibre Fabric

Microscopic study of the surface morphology of CO2 laser-treated cotton and cotton/polyester blended fabric

Cost optimization of sodium hypochlorite bleaching washing for denim by combining ensemble of surrogates with particle swarm optimization

Contact Info

Product

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Microscopic study of the surface morphology of CO₂ laser-treated cotton and cotton/polyester blended fabric