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The Versatile Sampling Methods of Infrared Microspectroscopy
Published in Patricia B. Coleman, Practical Sampling Techniques for INFRARED ANALYSIS, 2020
Patricia L. Lang, Lisa J. Richwine
The Kubelka-Munk theory shows that there is a linear relationship between the diffuse reflectance function, f(R∞′), known as the Kubelka-Munk function, and c, the concentration.15,16 () f(R∞′)=(1−R∞′)2R∞′=ck
Artificial neural networks approach for prediction of CIELab values for yarn after dyeing and finishing process
Published in The Journal of The Textile Institute, 2023
Cenk Şahin, Onur Balcı, Melek Işık, İlker Gökenç
This study developed a prediction model to predict the dyed material’s color (CIELab values) using fiber-yarn-pre-treatment-dyeing-finishing parameters instead of the current color matching approach. The Kubelka-Munk theory explains the relationship between the dye concentration and the target color’s reflectance, taking into account the dye concentration, the coefficient of absorption, the blind dye reflectance value, and the absorption and target color reflectance values. Numerical information about fibers, yarns, pre-treatments, and finishing processes is not included in the method based on the Kubelka-Munk theorem. A data collection plan composed of six different parameters was designed to obtain a dataset within this defined scope. Among the variables in this experiment plan, Table 1 shows which levels are preferred.
Reflectance model for filament yarn composed of different color monofilaments
Published in The Journal of The Textile Institute, 2021
Yujuan Wang, Guangxue Chen, Wengang Li, Xuehui Gan, Jun Wang
There have been numerous investigations on the color prediction of blends. Among them, a number of papers dealing with the color of fiber, film and ink have appeared from time to time. The Kubelka-Munk model (Kubelka & Munk, 1931), Stearns-Noechel model (Stearns & Noechel, 1944) and Friele model (Friele, 1952) are widely applied to predict the color of textile blends, such as colored fiber or yarn blends. Later, scholars have optimized and improved these models. Wang et al. (2017) and Wang (2017) proposed a simple method for calculating the parameter in the Stearns-Noechel model. Furferi et al. (2016) and Shen et al. (2017) conducted different hybrid prediction models for pre-colored fiber blends by combining Kubelka-Munk model and Stearns-Noechel model with artificial neural network, respectively. Yang et al. (2019) modified the Stearns-Noechel model and Friele model through statistical analysis depending on median, wavelength, and components. However, the Kubelka-Munk theory was based on the assumption of infinitely thick and opaque layers. While, the yarns in textile industry are generally translucent. As for the Stearns-Noechel model and the Friele model, different empirical parameters for different kinds of fibers should be determined. In addition, these models are mainly used to calculate the reflectance of the fiber assembly rather than the reference of a single fiber. Furthermore, these models only consider the global reflectance of the blends macroscopically, and not take care of the arrangement of the different colored fibers microscopically. In other words, these models are not used to calculate the local color of the fiber blend.
Green synthesis of ZnO nanoparticles by pineapple peel extract from various alkali sources
Published in Journal of Asian Ceramic Societies, 2022
Arrak Klinbumrung, Rattanaphorn Panya, Apinya Pung-Ngama, Pitak Nasomjai, Jumnong Saowalakmeka, Reungruthai Sirirak
Diffused reflectance spectroscopy (DRS) is a nondestructive analytical technique that can be used to approximate the bandgaps of solid nanostructured semiconductors. The obtained diffuse reflectance spectra are analyzed according to the Kubelka-Munk theory, which describes the relationship of the diffuse reflectance (R) to the absorption coefficient (α), as shown by [35]: F(R) = k/s = (1-R)2/2 R = α, where F(R) is the Kubelka–Munk function, k is the absorption coefficient, and s is the scattering coefficient