Industrial hazards and safety measures – An empirical study

Thangam, J. Anna; Jeshurun, Subramania Bala; Thangapoo, A.; Gnanaraj, S. Joe Patrick; Appadurai, M.

doi:10.1016/j.matpr.2021.09.451

Cited by 10 publications

(4 citation statements)

References 12 publications

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“… Using square tests the relationship between two independent variables is identified. Reject H0, If the value of P <= 0.05 Here the value of P = <0.05 [32] , [33] , [34] , [35] , [36] , [37] , [38] …”

Section: Resultsmentioning

confidence: 99%

Study on the effect of COVID − 19 pandemic on the savings and investment pattern of the manufacturing sector

Nirmala¹,

K.A.Bhalaji²,

Kumar³

et al. 2022

Materials Today: Proceedings

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Section: Resultsmentioning

confidence: 99%

Study on the effect of COVID − 19 pandemic on the savings and investment pattern of the manufacturing sector

Nirmala¹,

K.A.Bhalaji²,

Kumar³

et al. 2022

Materials Today: Proceedings

Self Cite

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“…The filament has the diameter of 1.75 mm. The main aims to use neat PLA filament was environmental friendly material, totally biodegradable after disposal as compared to the petroleum based polymers such as ABS, polypropylene and polyethylene [56] , [57] , [58] , [59] , [60] , [61] , [62] , [63] , [64] , [65] . In addition, lower thermal shrinkage during solidification was decisive in the choice of the first material tested compared with other possible materials such as ABS.…”

Section: Materials and Methodologymentioning

confidence: 99%

An exclusive hand protection device made of fused deposition modelling process using poly (lactic acid) polymer

Selvan¹,

Mohandass

Vairavel

et al. 2022

Materials Today: Proceedings

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“…These accidents range from machinery malfunctions to slips, trips, and falls. [50,51] Thus, real-time monitoring of mechanical impact in industrial areas can provide invaluable insights into real-time accident monitoring, thus enabling timely interventions and immediate medical assistance to the workforce. As PI-STENG has ultra-wide pressure range sensing ability with high sensitivity, it can be utilized as an intellisensor for the future workforce to detect low to high impact, thus ensuring the safety of the workforce.…”

Section: Machine Learning Enabled Pi-steng-based Intellisensor For Th...mentioning

confidence: 99%

Polarization‐Induced Mechanically Socketed Ultra‐Stretchable and Breathable Textile‐Based Nanogenerator and Pressure Sensor

Garg,

Majhi,

et al. 2024

Adv Funct Materials

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Textile‐based wearable triboelectric nanogenerators (TENGs) have emerged as viable power sources for wearable electronics. However, it is still a daunting challenge to realize a high‐performing textile‐based nanogenerator without compromising its intrinsic textile‐like properties, such as stretchability, breathability, and conformability. The above challenge is addressed by fabricating a record high‐performing wearable, breathable and stretchable nanogenerator based on polarization‐induced ultra‐stretchable EVA/Nylon‐11 micro/nano‐fibers (1250%) as the triboelectric positive layer and polarization‐induced ultra‐stretchable EVA/PVDF/BA2CsAgBiBr7 micro/nano‐fibers (1480%) as the triboelectric negative layer. The excellent stretchability, breathability (1.15 Kgm−2d−1) and high energy‐harvesting performance (650 V, 19.5 µAcm−2) are attributed to the mechanically‐socketed structure of the aligned stretchable EVA microfibers with the polarized nanofibers, thus providing a universal framework to fabricate stretchable piezoelectric fibers. Compositional engineering and polarization‐induced surface charges coupled with triboelectric‐induced surface charges enabled enhanced performance compared to other wearable stretchable textile‐based nanogenerators. Additionally, it is utilized as a stretchable self‐powered pressure sensor with an ultra‐wide pressure sensing range (0.05–500 kPa) and high sensitivity (2.5 VkPa−1) even under deformations. To the best of the knowledge, PI‐STENG stands out amongst various stretchable self‐powered pressure sensors in terms of pressure sensing range and stretchability. The PI‐STENG is demonstrated as a machine learning‐enabled intellisensor for workforce safety monitoring.

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Industrial hazards and safety measures – An empirical study

Cited by 10 publications

References 12 publications

Study on the effect of COVID − 19 pandemic on the savings and investment pattern of the manufacturing sector

Study on the effect of COVID − 19 pandemic on the savings and investment pattern of the manufacturing sector

An exclusive hand protection device made of fused deposition modelling process using poly (lactic acid) polymer

Polarization‐Induced Mechanically Socketed Ultra‐Stretchable and Breathable Textile‐Based Nanogenerator and Pressure Sensor

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