An ode to polyethylene

Boriskina, Svetlana V.

doi:10.1557/mre.2019.15

Cited by 18 publications

(12 citation statements)

References 77 publications

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“…A layer of polyethylene is placed on top of the apparatus to reduce the effect of wind on the net power of the system. Given the high transmittance of polyethylene, it does not interfere with the cooling capacity of the system (Boriskina, 2019). A thin layer of air between the polyethylene layer and the material also acts as a thermal insulator.…”

Section: Methodsmentioning

confidence: 99%

Investigating the Effect of Cloud Cover on Radiative Cooling Potential With Artificial Neural Network Modeling

2021

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Radiative cooling is a novel and promising technology in which, heat is radiated through the infrared wavelength (8–13 μm) to the cold outer space, while the incident solar radiation (0.3–4 μm) is reflected. This leads to a temperature reduction in the material that can be utilized as a free and renewable resource of cooling for different applications. For the sake of increasing the efficiency and the cooling potential of these systems, scientists have precisely studied the affecting parameters and developed analytical equations. The sky cloud coverage is one of the major affecting parameters that is challenging to model due to its inherent complexity and diversity. Therefore, in this article, we investigated the effect of cloud cover on the radiative cooling potential by utilizing machine learning techniques. In this regard, a non-linear autoregressive with exogenous feedback (NARX) neural network has been developed to predict the temperature of the system in different climate conditions by taking cloud coverage into account. Results of this investigation indicate that there is an intensely indirect relationship between cloud coverage and the performance of the system. Accordingly, a cloudy sky can lead to 15°C inaccuracy in the modeling of the system and may even lead to a temperature increase relative to the ambient, which inhibits the applicability of the system. It was eventually concluded that the cloud cover, as one of the major parameters that determine the performance of the system, must be taken into account in radiative cooling system designs.

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Section: Methodsmentioning

confidence: 99%

Investigating the Effect of Cloud Cover on Radiative Cooling Potential With Artificial Neural Network Modeling

2021

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“…Thermally conductive polymer fibers are also being explored for wearables to help body temperature regulation, energy harvesting and sensing. 252,253 Organic thermoelectric materials have also attracted research attention since they inherently have low thermal conductivity to start with. 254 With novel applications, we hope to see thermal conductivity to be at the driving seat for polymer innovations.…”

Section: Multi-functionalitymentioning

confidence: 99%

Thermal Transport in Polymers: A Review

Wei

Wang

Tian

et al. 2021

Journal of Heat Transfer

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In this article, we review thermal transport in polymers with different morphologies from aligned fibers to bulk amorphous states. We survey early and recent efforts in engineering polymers with high thermal conductivity by fabricating polymers with large-scale molecular alignments. The experimentally realized extremely high thermal conductivity of polymer nanofibers are highlighted, and understanding of thermal transport physics from molecular simulations are discussed. We then transition to the discussion of bulk amorphous polymers with an emphasize on the physics of thermal transport and its relation with the conformation of molecular chains in polymers. We also discuss the current understanding of how the chemistry of polymers would influence thermal transport in amorphous polymers and some limited, but important chemistry-structural-property relationships. Lastly, challenges, perspectives and outlook of this field are presented. We hope this review will inspire more fundamental and applied research in the polymer thermal transport field to advance scientific understanding and engineering applications.

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“…PE has a simple basic structure of (CH2) n and is constructed exclusively from C-C single bonds [4]. PE demonstrates a lot of excellent properties, including low cost, light weight, good flexibility, long durability, optical transparency, electrical insulation, corrosion resistance, good processability and high toughness [5,6]. Due to its superior performance, PE is widely used in daily products [7,8], construction materials [9,10], electronic devices [11], automotive vehicles [12], biomedical devices [13], etc.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Performance of 3D-Printed Polyethylene Fibers and Their Durability against Degradation

et al. 2023

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Polyethylene (PE), one of the most popular thermoplastic polymers, is widely used in various areas, such as materials engineering and biomedical engineering, due to its superior performance, while 3D printing via fused deposition modeling (FDM) provides a facile method of preparing PE products. To optimize the performance and assess the degradation of FDM-printed PE materials, we systematically investigate the influences of printing parameters, such as fiber diameter (stretching) and printer head temperature, and degradation, such as UV exposure and thermal degradation, on the mechanical performance of FDM-printed PE fibers. When FDM-printed PE fibers with a smaller diameter are prepared under a higher collecting speed, they undergo stronger stretching, and thus, show higher tensile strength and Young’s modulus values. Meanwhile, the tensile strength and Young’s modulus decrease as the printer head temperature increases, due to the lower viscosity, and thus, weaker shearing at high temperatures. However, degradation, such as UV exposure and thermal degradation, cause a decrease in all four mechanical properties, including tensile strength, Young’s modulus, tensile strain and toughness. These results will guide the optimization of FDM-printed PE materials and help to assess the durability of PE products against degradation for their practical application.

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An ode to polyethylene

Abstract: ABSTRACT

Cited by 18 publications

References 77 publications

Investigating the Effect of Cloud Cover on Radiative Cooling Potential With Artificial Neural Network Modeling

Investigating the Effect of Cloud Cover on Radiative Cooling Potential With Artificial Neural Network Modeling

Thermal Transport in Polymers: A Review

Mechanical Performance of 3D-Printed Polyethylene Fibers and Their Durability against Degradation

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