Thermal Reaction of 2,4-Dibromopyridine on Cu(100)

In the present work the reinforcing potential of nanofibrillated cellulose (NFC) from five different non-woody plants, namely; abaca, sisal, hemp, jute and flax was investigated. Nanocomposite materials were prepared by casting a mixture of NFC suspension and a polymer waterborne latex dispersion, and their mechanical properties in both linear and nonlinear ranges as well as the optical properties of the ensuing films were analyzed. Irrespective of their origin, the incorporation of the NFC within the polymer matrix brings about a huge reinforcing effect above the glass transition. The percolation approach has been shown to give a reasonably accurate prediction of the stiffness over the whole range of volume fraction investigated. The evolution of the magnitude of tan d vs. the NFC content was also analyzed and discussed in term of the effective interfacial thickness. The optical transparency of the nanocomposite film at different NFC content was also studied and compared according to the NFC origin. POLYM. COMPOS.,

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“…The percolation volume threshold (

ϕ_{normalp}

) can be determined by applying a power law function to the

E'

versus NFC loading according to Eq . , as predicted from the percolation theory .

\begin{matrix} \frac{E'}{ϕ} \propto {true(\frac{ϕ - ϕ_{normalp}}{1 - ϕ_{normalp}} true)}^{b} & For ϕ > ϕ_{normalp} \end{matrix}

…”

Section: Resultsmentioning

confidence: 74%

Reinforcing potential of nanofibrillated cellulose from nonwoody plants

et al. 2013

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“…The relative permittivity ε r of the AgNWs-PU composites is shown as the black curve in Fig. 23,24 On the other hand, the ε r of PU film without AgNW fillers did not show notable increase in ε r. It was 5.4 and 6.0, respectively, before and after compress. The ε r was always increased with the addition of AgNWs in composites.…”

Section: Resultsmentioning

confidence: 97%

A highly sensitive and flexible pressure sensor with electrodes and elastomeric interlayer containing silver nanowires

et al. 2015

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The next-generation application of pressure sensors is gradually being extended to include electronic artificial skin (e-skin), wearable devices, humanoid robotics and smart prosthetics. In these advanced applications, high sensing capability is an essential feature for high performance. Although surface patterning treatments and some special elastomeric interlayers have been applied to improve sensitivity, the process is complex and this inevitably raises the cost and is an obstacle to large-scale production. In the present study a simple printing process without complex patterning has been used for constructing the sensor, and an interlayer is employed comprising elastomeric composites filled with silver nanowires. By increasing the relative permittivity, εr, of the composite interlayer induced by compression at high nanowire concentration, it has been possible to achieve a maximum sensitivity of 5.54 kPa(-1). The improvement in sensitivity did not sacrifice or undermine the other features of the sensor. Thanks to the silver nanowire electrodes, the sensor is flexible and stable after 200 cycles at a bending radius of 2 mm, and exhibits outstanding reproducibility without hysteresis under similar pressure pulses. The sensor has been readily integrated onto an adhesive bandage and has been successful in detecting human movements. In addition to measuring pressure in direct contact, non-contact pressures such as air flow can also be detected.

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“…The design structure of each factor consists of three levels, and the number of required runs is only one more than twice the number of factors. [33][34][35] Moreover, the factors in experiments should be confirmed on the principle that it is easy to control. Here, 10 initial design parameters are selected and their values are shown in Table 2.…”

Section: Definitive Screen Designmentioning

confidence: 99%

An Optimization Approach for Improving Comprehensive Performance of PHET Based on Evolutionary Many‐Objective Optimization

Chai

Zhao

et al. 2022

Advcd Theory and Sims

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The parameter optimization coupled with the control strategy and target driving cycle directly affects the performance of vehicles. This paper proposes an optimization approach for a plug‐in hybrid electric truck (PHET), which considers comprehensive performances including fuel economy, emissions, vehicle drivability, safety, and dynamics. First, 10 initial design parameters are selected from powertrain components and a real‐time energy management strategy (EMS). Then, a definitive screening design (DSD) is proposed to simplify the design parameters. Finally, non‐dominated sorting genetic algorithm‐III (NSGA‐III) is proposed to solve a constrained many‐objective optimization problem with 9 objectives, and the design space is refined through a sensitivity analysis. Simulation results demonstrate that the proposed optimization approach can achieve significant improvements regarding both the comprehensive performances, power repartition, and system efficiency. The simulation is conducted both on Chinese Heavy‐Duty Commercial Vehicle Test Cycle (CHTC) and Urban Dynamometer Driving Schedule for Heavy‐Duty Vehicles (UDDSHDV). In addition, to guide a decision maker (DM) to make trade‐offs among many objectives, preferences are also incorporated into the solutions.

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Thermal Reaction of 2,4-Dibromopyridine on Cu(100)

Cited by 16 publications

References 59 publications

Reinforcing potential of nanofibrillated cellulose from nonwoody plants

Reinforcing potential of nanofibrillated cellulose from nonwoody plants

A highly sensitive and flexible pressure sensor with electrodes and elastomeric interlayer containing silver nanowires

An Optimization Approach for Improving Comprehensive Performance of PHET Based on Evolutionary Many‐Objective Optimization

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