Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network.

To digital grade the staining color fastness of fabrics after rubbing, an automatic grading method based on spectral reconstruction technology and BP neural network was proposed. Firstly, the modeling samples are prepared by rubbing the fabrics according to the ISO standard of 105-X12. Then, to comply with visual rating standards for color fastness, the modeling samples are professionally graded to obtain the visual rating result. After that, a digital camera is used to capture digital images of the modeling samples inside a closed and uniform lighting box, and the color data values of the modeling samples are obtained through spectral reconstruction technology. Finally, the color fastness prediction model for rubbing was constructed using the modeling samples data and BP neural network. The color fastness level of the testing samples was predicted using the prediction model, and the prediction results were compared with the existing color difference conversion method and gray scale difference method based on the five-fold cross-validation strategy. Experiments show that the prediction model of fabric color fastness can be better constructed using the BP neural network. The overall performance of the method is better than the color difference conversion method and the gray scale difference method. It can be seen that the digital rating method of fabric staining color fastness to rubbing based on spectral reconstruction and BP neural network has high consistency with the visual evaluation, which will help for the automatic color fastness grading.

High Infrared Blocking Cellulose Film Based on Amorphous to Anatase Transition of TiO2 via Atomic Layer Deposition.

A high IR-blocking cellulose film was designed based on an amorphous to anatase transition of TiO2 using atomic layer deposition (ALD). This transition was realized at 250 °C, at which the cellulose is thermal stable. Optimized ALD condition of 250 °C and 1200 cycles give us an excellent heat insulator, which could significantly reduce the enclosed space temperature from 59.2 to 51.9 °C after exposure to IR lamp for 5 min.

Examination of the dyeing properties of pigment printing fabrics in a water-ethanol mixed solvent.

We examined the dyeing properties of pigment printing fabrics in a water-ethanol mixed solvent. SEM, infrared spectroscopy, XRD, and rheological studies were carried out to understand the results. The K/S values of all pigment printing fabrics initially increased prior to a subsequent decrease, as can be observed from SEM images of the fabric surfaces. Viscosity tests indicated that variations in the dyeing performance in the mixed solvent could be mainly attributed to the quality of the thickener. Through examination of the rheological properties of the NaAlg paste and the IR spectra of the NaAlg membrane, ethanol appeared to weaken the hydrogen bonds between the NaAlg chains and water molecules, leading to more compact and disordered NaAlg chains. As the rubbing fastness remained relatively constant upon increasing the colour depth of the printing fabrics, this indicated the potential for broadening the application range of such a system.