Developing a scalable process is critical to manufacture conductive fabric for commercial applications.This paper describes a scalable coating process that is compatible with existing industrial finishing processes of...Developing a scalable process is critical to manufacture conductive fabric for commercial applications.This paper describes a scalable coating process that is compatible with existing industrial finishing processes of fabrics.In this process,the fabric is continuously dipped in water-based metal salt and the reducing agent solution to impart conductive particles on the fiber surface.After 10 consecutive cycles of dip coating,the fabric shows 6Ω/in.of resistance.The process is tuned to minimize process cost and material cost,and maximize the durability of the fabric.This paper also introduces an easy protective coating technique of the conductive fabric that improves the durability of the conductive fabric without sacrificing the comfort properties of textile fabrics such as breathability and flexibility.The encapsulated conductive fabric shows good air-permeability and it is 6.96 cm^(3)/cm^(2)/s.Moreover,the conductivity of the encapsulated fabric is quite stable after four accelerated washing cycles.Additionally,the fabric remains conductive on the surfaces and is suitable for using as a conductive track and connectors.展开更多
In complex environments,infrared camouflage within the long-wave infrared range is essential for modern defense and surveillance applications,requiring precise control over both radiative and scattering properties of ...In complex environments,infrared camouflage within the long-wave infrared range is essential for modern defense and surveillance applications,requiring precise control over both radiative and scattering properties of military targets.For practical implementation,developing surfaces that integrate dynamic emissivity control,low specular reflectance,and scalable fabrication processes remains a significant challenge.Here,a novel infrared camouflage device is proposed to simultaneously achieve low specular reflectance(<0.1)and dynamic infrared camouflage.The device seamlessly blends into backgrounds with temperatures ranging from 35°C to 45°C by tuning the emissivity of the device,which is attained by controlling the Ge2Sb2Te5 phase change.In addition,it reflects almost no surrounding thermal signals compared with the conventional low-emissivity smooth surface.The thermal camouflage remains effective and stable across observation angles ranging from 20°to 60°.This work proposes a novel approach to simultaneously reducing specular reflection and dynamic emissivity control,potentially inspiring future research and applications in multispectral camouflage and stealth technology.展开更多
Predicting pellet metallurgical performance is critical for optimizing industrial smelting processes,yet traditional methods face computational bottlenecks when handling large-scale material datasets.This study propos...Predicting pellet metallurgical performance is critical for optimizing industrial smelting processes,yet traditional methods face computational bottlenecks when handling large-scale material datasets.This study proposes an HPC-optimized hybrid model integrating XGBoost and multilayer perceptron(MLP)architectures.By implementing batch-optimized memory hierarchies and cache-aware data partitioning,we efficiently process a large amount of feedstock ratio data and metallurgical performance metrics from industrial production cycles.Experimental results demonstrate superior accuracy in predicting RDI,ΔT,RI,and RSI indices compared to single-model approaches.The proposed framework provides a scalable solution for real-time performance prediction in smart manufacturing systems,reducing computational overhead through dynamic load balancing across HPC nodes.展开更多
基金supported by the research grant from Bangladesh University of Textiles,Dhaka,Bangladesh.
文摘Developing a scalable process is critical to manufacture conductive fabric for commercial applications.This paper describes a scalable coating process that is compatible with existing industrial finishing processes of fabrics.In this process,the fabric is continuously dipped in water-based metal salt and the reducing agent solution to impart conductive particles on the fiber surface.After 10 consecutive cycles of dip coating,the fabric shows 6Ω/in.of resistance.The process is tuned to minimize process cost and material cost,and maximize the durability of the fabric.This paper also introduces an easy protective coating technique of the conductive fabric that improves the durability of the conductive fabric without sacrificing the comfort properties of textile fabrics such as breathability and flexibility.The encapsulated conductive fabric shows good air-permeability and it is 6.96 cm^(3)/cm^(2)/s.Moreover,the conductivity of the encapsulated fabric is quite stable after four accelerated washing cycles.Additionally,the fabric remains conductive on the surfaces and is suitable for using as a conductive track and connectors.
基金National Natural Science Foundation of China(U23A20377)Postgraduate Education Reform and Quality Improvement Project of Henan Province(YJS2024JD32)POSCO(POSCO-POSTECH-RIST Convergence Research Center)National Research Foundation of Korea(RS-2022-NR067559)。
文摘In complex environments,infrared camouflage within the long-wave infrared range is essential for modern defense and surveillance applications,requiring precise control over both radiative and scattering properties of military targets.For practical implementation,developing surfaces that integrate dynamic emissivity control,low specular reflectance,and scalable fabrication processes remains a significant challenge.Here,a novel infrared camouflage device is proposed to simultaneously achieve low specular reflectance(<0.1)and dynamic infrared camouflage.The device seamlessly blends into backgrounds with temperatures ranging from 35°C to 45°C by tuning the emissivity of the device,which is attained by controlling the Ge2Sb2Te5 phase change.In addition,it reflects almost no surrounding thermal signals compared with the conventional low-emissivity smooth surface.The thermal camouflage remains effective and stable across observation angles ranging from 20°to 60°.This work proposes a novel approach to simultaneously reducing specular reflection and dynamic emissivity control,potentially inspiring future research and applications in multispectral camouflage and stealth technology.
文摘Predicting pellet metallurgical performance is critical for optimizing industrial smelting processes,yet traditional methods face computational bottlenecks when handling large-scale material datasets.This study proposes an HPC-optimized hybrid model integrating XGBoost and multilayer perceptron(MLP)architectures.By implementing batch-optimized memory hierarchies and cache-aware data partitioning,we efficiently process a large amount of feedstock ratio data and metallurgical performance metrics from industrial production cycles.Experimental results demonstrate superior accuracy in predicting RDI,ΔT,RI,and RSI indices compared to single-model approaches.The proposed framework provides a scalable solution for real-time performance prediction in smart manufacturing systems,reducing computational overhead through dynamic load balancing across HPC nodes.
