POM Mechanical Properties

Bédoui, Fahmi; Fayolle, Bruno

doi:10.1002/9781118914458.ch9

Cited by 9 publications

(3 citation statements)

References 28 publications

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“…Conversely, concerning the strength deviation, the tensile and compress strengths of POM and its composites is stable under seawater hydrostatic pressure while the flexural strength slightly increases. The stability in mechanical strengths is possibly associated with its increased crystalline fraction of the POM matrix because the mechanical strength is highly dependent on the crystallinity of POM matrix . It is worthy to note that the elongation at tensile break is significantly decreased as hydrostatic pressure elevates.…”

Section: Resultsmentioning

confidence: 99%

“…The stability in mechanical strengths is possibly associated with its increased crystalline fraction of the POM matrix because the mechanical strength is highly dependent on the crystallinity of POM matrix. 52 It is worthy to note that the elongation at tensile break is significantly decreased as hydrostatic pressure elevates. That is, a phenomenon of embrittlement occurred on the POM-based materials when immersed seawater, which was further accelerated by higher seawater pressure.…”

Section: Mechanical Performancementioning

confidence: 99%

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Durability of fiber‐reinforced polyoxymethylene composites under the high hydrostatic pressure in the deep sea

Líu

Wang

Jiang

2019

J of Applied Polymer Sci

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The effect of hydrostatic pressure of up to 40 MPa on the seawater permeation, crystalline structure, and mechanical strength of carbon fiber and glass fiber‐reinforced polyoxymethylene (POM) composites was investigated. The experimental results reveal that hydrostatic pressure slightly promotes seawater permeation throughout the POM composites and degrades the bonding strength of the matrix–fiber interface. In the POM matrix, the seawater hydrostatic pressure does not influence the chemical stability but induces a physical chain scission process, which is characterized by linearly decreased molecular weight. The chain scissions initially entangled in the amorphous region are supposed to have sufficient mobility to join the crystalline phase. The increased crystallinity, albeit slight, together with the compress effect of hydrostatic pressure may possibly account for the stable mechanical strengths of the POM composites. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 137, 48686.

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Section: Resultsmentioning

confidence: 99%

Section: Mechanical Performancementioning

confidence: 99%

Durability of fiber‐reinforced polyoxymethylene composites under the high hydrostatic pressure in the deep sea

Líu

Wang

Jiang

2019

J of Applied Polymer Sci

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“…When a driver enters a fatigue state, there are usually a series of physiological reactions, such as yawning and closing the eyes. According to YOLOv5-fatigue, multiple states of the eyes and mouth are acquired and the driver's fatigue state is assessed by the following indicators: PERCLOS [29]for eye closure and POM [30]for mouth opening per unit time. As thresholds are related to different methods used in different studies, existing fatigue judgements cannot be used directly, and this paper will use extensive experiments to determine thresholds for the above assessment metrics.…”

Section: Fatigue Analysis Methodsmentioning

confidence: 99%

Real-time facial state recognition and fatigue analysis based on deep neural networks

yan,

2023

Preprint

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Aiming at the problems such as large parameter count of facial state recognition model in driver fatigue detection which is difficult to be deployed, low accuracy, slow speed, etc., a lightweight real-time facial state recognition model YOLOv5-fatigue based on YOLOv5n is proposed; Firstly, a bilateral convolution (BConv) is proposed, which can fully utilize the feature information in the channel; Then an innovative deep convolution module (DBS) is proposed, which utilizes the module to reduce the number of network parameters as well as the amount of computation; Lastly, the NAM attention mechanism is added to solve the problem of accuracy degradation due to the lightweighting of the model; In this paper, we first recognize the facial state by YOLOv5-fatigue, and then use the proportion of eyes closed per unit of time (PERCLOS) and the proportion of mouth closed per unit of time (POM) to determine fatigue. Experiments on the self-built VIGP-fatigue dataset show that the AP50 of the proposed method is improved to 92.6%, the inference time is reduced to 2.1ms,and the amount of parameters is reduced to 1.01M.By comparing with the driving video in real situation, it is found that the accuracy of fatigue detection reaches 94.7%.

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Flexural, impact, rheological and physical characterizations of POM reinforced by carbon nanotubes and paraffin oil

Yousef

Visco

Galtieri

et al. 2016

Polymers for Advanced Techs

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The paraffin oil dispersion technique innovated in the recent years to synthesize bulk polymer nanocomposite materials has a uniform dispersion. This research work aims to study the effect of added carbon nanotubes (CNTs) on flexural, impact and rheology behaviors of polyoxymethylene (POM) reinforced by 0–0.03 wt% of CNT using paraffin oil dispersion technique. The wettability and lamellar thickness were measured and rheological performance investigated using a parallel plate rheometer. The flexural and impact mechanical properties were also evaluated. The fracture surfaces were then examined by microscopy. The results showed that the energy to break, flexural strength and modulus increased proportionally with the addition of the amount of CNT in the matrix. For the rheology behavior, the viscosity decreased at the low percentage of CNT and then increased with increase in the percentage weight ratio of CNT in the POM matrix. It was also noted that the water contact angle rose with the increase the CNT percentages. Copyright © 2016 John Wiley & Sons, Ltd.

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POM Mechanical Properties

Cited by 9 publications

References 28 publications

Durability of fiber‐reinforced polyoxymethylene composites under the high hydrostatic pressure in the deep sea

Durability of fiber‐reinforced polyoxymethylene composites under the high hydrostatic pressure in the deep sea

Real-time facial state recognition and fatigue analysis based on deep neural networks

Flexural, impact, rheological and physical characterizations of POM reinforced by carbon nanotubes and paraffin oil

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