Fabrication of Eco-Friendly Graphene Nanoplatelet Electrode for Electropolishing and Its Properties

Jeong, Junyoung; Yoon, Wanjun; Chung, Bongjin; Jeon, Giyoung; Ryu, Seongwoo

doi:10.3390/app11073224

Cited by 4 publications

(2 citation statements)

References 28 publications

(35 reference statements)

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“…While there exists a tolerance of approximately 2 mm in certain sections of the gap, it does not significantly influence the outcomes that are the primary focus of this study, specifically those concerning the presence or absence of PECP [35]. In the PECP process, a semi-permanent electrode surface that had not undergone oxidation was utilized, and it did not influence the polishing results [36]. The PECP process time was limited to 720 s, which is shorter than traditional post-processing times.…”

Section: Pecp Process For the Tf Moldmentioning

confidence: 99%

Lubricant-Free Thermoforming Mold Using Pulse Electrochemical Polishing

Kwak,

Kim,

Park

2023

Lubricants

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Thermoforming (TF) is a process used for fabricating products by applying heat and vacuum pressure to a plastic film or plate. Typically, TF molds require post-processing, resulting in additional costs and time consumption. Furthermore, continuous application of lubricant is necessary to prevent corrosion and facilitate mold release. Electrochemical polishing (ECP) is a technique used to achieve a polished surface on metal through an electrochemical reaction. In this research, a novel approach is proposed as a solution to the need for lubricants and manual post-processing in mold preparation, utilizing pulse electrochemical polishing (PECP). A comparative analysis is conducted on the reproducibility of products and the forces required for mold release among molds prepared using PECP, lubricated molds, and unpolished molds. To assess product reproducibility, the radii of curvature of all mold steps and grooves are determined and compared. Furthermore, peeling tests are conducted to estimate the forces required for mold release. Product surface evaluation is performed using atomic force microscopy, while lateral force microscopy is employed to measure the reductions in surface frictional force achieved by PECP.

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Section: Pecp Process For the Tf Moldmentioning

confidence: 99%

Lubricant-Free Thermoforming Mold Using Pulse Electrochemical Polishing

Kwak,

Kim,

Park

2023

Lubricants

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“…With the support of the Fe-Mg oxide composite, homogeneous absorbent nanoparticles used with graphene nanoplates to improve the efficiency of electrodes [21]. To reduce the pollution through the electropolishing process of the material GNP/FE, the performance of the electrode can be improved [22]. High contact impedance as well as a low signal-to-noise ratio can be achieved using this GNP/Fe material while using the scalp electroencephalogram (EEG) recording [23].…”

Section: Introductionmentioning

confidence: 99%

Nanocomposite-Based Electrode Structures for EEG Signal Acquisition

et al. 2022

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Objective: To fabricate a lightweight, breathable, comfortable, and able to contour to the curvilinear body shape, electrodes built on a flexible substrate are a significant growth in wearable health monitoring. This research aims to create a GNP/FE electrode-based EEG signal acquisition system that is both efficient and inexpensive. Methodology: Three distinct electrode concentrations were developed for EEG signal acquisition, three distinct electrode concentrations (1.5:1.5, 2:1, and 3:0). The high strength-to-weight ratio to form the tribofilm in the fabrication of the electrode will provide good efficiency. The EEG signal is first subjected to a wavelet transform, which serves as a preliminary analysis. The use of biopotential signals in wearable systems as biofeedback or control commands is expected to substantially impact point-of-care health monitoring systems, rehabilitation devices, human–computer/machine interfaces (HCI/HMI), and brain–computer interfaces (BCIs). The graphene oxide (GO), glycerol (GL), and polyvinyl alcohol (PVA) GO/GL/PVA plastic electrodes were measured and compared to that of a commercially available electrode using the biopic equipment. The GO/GL/PVA plastic electrode was able to detect EEG signals satisfactorily after being used for two months, demonstrating good conductivity and lower noise than the commercial electrode. The GO/GL/PVA nanocomposite mixture was put into the electrode mold as soon as it was ready and then rapidly chilled. Results: The quality of an acquired EEG signal could be measured in several ways including by its error percentage, correlation coefficient, and signal-to-noise ratio (SNR). The fabricated electrode yield detection ranged from 0.81 kPa−1 % to 34.90 kPa−1%. The performance was estimated up to the response of 54 ms. Linear heating at the rate of 40 °C per minute was implemented on the sample ranges from 0 °C to 240 °C. During the sample electrode testing in EEG signal analysis, it obtained low impedance with a good quality of signal acquisition when compared to a conventional wet type of electrode. Conclusions: A large database was frequently built from all of the simulated signals in MATLAB code. Through the experiment, all of the required data were collected, checked against all other signals, and proven that they were accurate representations of the intended database. Evidence suggests that graphene nanoplatelets (GNP) hematite (FE2O3) polyvinylidene fluoride (PVDF) GNP/FE2O3@PVDF electrodes with a 3:0 concentration yielded the best outcomes.

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