A cleaner production process for high performance cotton fabrics

2021 ◽  
pp. 128500
Author(s):  
Lei Fang ◽  
Fuyun Sun ◽  
Qingbao Liu ◽  
Weichao Chen ◽  
Hua Zhou ◽  
...  
2021 ◽  
Author(s):  
Yunbo Chen ◽  
Xiangyu Zhu ◽  
Xiang Li ◽  
Bijia Wang ◽  
Zhiping Mao ◽  
...  

Abstract The lack of thermo-regulation functionality and high flammability of cotton fabrics greatly restrict their application in high-performance fields. Herein, we report a versatile layer-by-layer (LbL) assembly strategy for introducing to cotton fabrics a multilayered coating consisted of phase change microcapsules and ammonium polyphosphate, endowing them with thermo-regulating and flame retardancy. The coated fabrics were characterized by limiting oxygen index (LOI), scanning electron microscopy (SEM), thermogravimetry (TG), differential scanning calorimetry (DSC) and infrared thermal imaging. The fabric deposited with 20 bilayers (MCPM/APP-20) showed improved flame retardancy with a LOI of 24.4% and residual carbon of 34.24%. It also shows a melting enthalpy of 30.16 J/g, which transferred to a temperature difference of 6.4 ℃ compared with pristine cotton. The functional endowed by the LbL assembly was reasonably durable, with melting enthalpy and residual carbon of MPCM/APP-20 reduced to 17.14 J/g and 19.82% after 30 laundering cycles. These results suggest that LbL assembly was a convenient way for functionalization of cotton fabrics.


2019 ◽  
Vol 11 (15) ◽  
pp. 4254 ◽  
Author(s):  
Munodawafa ◽  
Johl

Increased greenhouse gas (GHG) emissions in the past decades have created concerns about the environment. To stymie global warming and the deterioration of the natural environment, global CO2 emissions need to reach approximately 1.3 tons per capita by 2050. However, in Malaysia, CO2 output per capita—driven by fossil fuel consumption and energy production—is expected to reach approximately 12.1 tons by the year 2020. GHG mitigation strategies are needed to address these challenges. Cleaner production, through eco-innovation, has the potential to arrest CO2 emissions and buttress sustainable development. However, the cleaner production process has been hampered by lack of complete data to support decision making. Therefore, using the resource-based view, a preliminary study consisting of energy and utility firms is undertaken to understand the impact of big data analytics towards eco-innovation. Linear regression through SPSS Version 24 reveals that big data analytics could become a strong predictor of eco-innovation. This paper concludes that information and data are key inputs, and big data technology provides firms the opportunity to obtain information, which could influence its production process—and possibly help arrest increasing CO2 emissions.


2016 ◽  
Vol 211 ◽  
pp. 645-653 ◽  
Author(s):  
Jian Xu ◽  
Xian-Feng Su ◽  
Jia-Wei Bao ◽  
Hong-Jian Zhang ◽  
Xin Zeng ◽  
...  

2015 ◽  
Vol 137 (09) ◽  
pp. 30-35 ◽  
Author(s):  
Marco Annunziata ◽  
Stephan Biller

This article focuses on the transformation and dimming lines between digital and physical worlds. Industrial Internet tools and applications also help people collaborate in a faster and smarter way – making jobs not just more efficient but more rewarding. Technological progress and economic growth are contributing to a seismic shift in the role that human beings play in the production process. Technological progress, notably in high-performance computing, robotics, and artificial intelligence, is extending the range of tasks that machines can perform better than humans can. The Future of Work is being shaped by a profound transformation, driven by the meshing of the digital and the physical worlds, the emergence of new design and production techniques, and a seismic shift in the role that human beings play in the production process. Technological progress is expected to push a growing share of the workforce toward creativity and entrepreneurship, where humans have a clear comparative advantage over machines.


1976 ◽  
Vol 46 (3) ◽  
pp. 184-194 ◽  
Author(s):  
T. E. Muller ◽  
F. P. Barch ◽  
G. C. Daul

A high-wet-modulus crimped rayon fiber has been developed from a viscose system that utilizes a high-purity wood pulp, relatively low quantities of viscose modifiers, and viscose ripening controlled to allow the spinning of a highly-oriented rayon fiber with an unbalanced cross section. This results in a fiber which develops a high degree of both macro- and microcrimp. Viscose and spin-bath specifications must be rigidly observed, but spinning and fiber-relaxing conditions may be varied to adjust the development of crimp and fiber properties. This fiber performs well on conventional textile-processing equipment and can be spun into the full range of yarn counts that are normally defined by fiber denier. Resulting yarns have the high strength of the high-performance HWM rayons with the bulk and hand of cotton. Fabrics show better cover than that of similar fabrics woven from rayon control samples, and hand and dimensional stability are comparable to those of cotton. This fiber blends well with polyester and shows an advantage in cover over other rayon/polyester blends that are normally quite lean in appearance.


Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7075
Author(s):  
Shruthi Manjunath Shenava ◽  
J. V. Shanmukha Kumar ◽  
Rajkumar Ganugula ◽  
Mohammed Rafi Shaik ◽  
Rosa Busquets ◽  
...  

Aqueous fluorescent dispersions containing dyed acrylic-based copolymer nanoparticles possess significant credentials concerning green technology as compared to those prepared with the conventional vinyl-based monomers in textile and garment sectors; however, their essential textile fastness properties are yet to achieve. In the present work, a series of acrylic nanodispersions were synthesized by varying the moles ratio of benzyl methacrylate (BZMA), methyl methacrylate (MMA), and 2-hydroxypropyl methacrylate (HPMA) monomers. This was done to study their effect on dye aggregation and dyed polymer particles agglomeration. FT-IR spectral analysis showed the formation of polymer structures, while Malvern Analyzer, Transmission Electron Microscopy, and Scanning Electron Microscopy analysis suggested that the particles are spherical in shape and their size is less than 200 nm. The obtained nanodispersions were later applied on cotton fabrics for the evaluation of wash fastness and colour migration. Premier color scan spectrophotometer and zeta potential measurement studies suggested that colour migration of printed cotton fabrics increased with an increasing agglomeration of particles and it was also observed to increase with the moles ratio of MMA and zeta potentials.


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