• Title/Summary/Keyword: Surface-applied

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Effect of O2, CO, and NO on the Surface Segregation in a Rh50Pd50 Bulk Crystal and a comparison to Rh50Pd50 Nanoparticles

  • Park, Mi-Ta;Grass, Michael E.;Aksoy, Funda;Zhang, Yawen;Liu, Zhi;Mun, Bong-Jin S.
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.08a
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    • pp.84-84
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    • 2010
  • We present an in-situ study of the interaction of a bimetallic Rh50Pd50 bulk crystal with O2, CO, and NO using ambient pressure x-ray photoelectron spectroscopy and compare it to results for 10 nm nanoparticles with the same overall composition. The surface of the bulk crystal has less Rh present under both oxidizing and reducing conditions than the nanoparticles under identical conditions. Segregation and oxidation/reduction proceeds quicker and at lower temperature for nanoparticles than for the bulk crystal. The near surface of the Rh50Pd50 bulk crystal after high temperature vacuum annealing is ca. 9% Rh measured by XPS. Heating in 0.1 Torr O2 to $350^{\circ}C$ increases the Rh surface composition to ca. 40%. The surface can then be reduced by heating in H2 at $150^{\circ}C$, leading to a reduced surface of 30% Rh. Titration of CO from this Rh-rich surface proceeds at a much lower pressure than on the Rh-deficient starting surface.

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A study on the TiN coating applied to a rolling wire probe

  • Song, Young-Sik;S. K. Yang;Kim, J.
    • Proceedings of the Korean Institute of Surface Engineering Conference
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    • 2003.10a
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    • pp.118-118
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    • 2003
  • In a rolling wire probe, a key component of an inspection apparatus for PDP electrode patterns, the electric performance of it is known to be strongly dependent on the surface condition of a collet pin, a needle pin, and a wire. However, the collet and needle pins rotate very rapidly in contact with each other, which results in the degradation of the surface by the heat and friction and finally the formation of black wear marks on the surface after a several hundred hours test. Once the black wear marks appear on the surface, the electric resistance of the probe increases sharply and so the integrity of the probe is severely damaged. In this experiment, TiN coating, which has excellent electric conductances and good wear-resistance, has been applied on the surface of collect and needle pins for preventing the surface damages. In order to achieve the homogeneous coating with a good adhesion property, special coating substrate stages and jigs were designed and applied during coating. TiN has been deposited using 99.999% Titanium target by a DC reactive sputtering method. According to the components and jigs, processing parameters, such as DC power, RF bias and the flow rate ratio of Ar and N$_2$ used as reactive gases, has been controlled to obtain good TiN films. Detailed problems and solutions for applying the new substrate stages and jigs will be discussed.

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Surface Modification Method of Stainless Steel using Electrochemical Etching (전기화학적 에칭을 이용한 스테인리스 스틸의 표면 개질)

  • Lee, Chan;Kim, Joonwon
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.4
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    • pp.353-358
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    • 2014
  • This paper reports a simple, yet effective 1-step surface modification method for stainless steel. Electrochemical etching in dilute Aqua Regia forms hierarchical micro and nanoscale structure on the surface. The surface becomes highly hydrophobic (${\sim}150^{\circ}$) as a result of the etching in terms of static contact angle (CA). However the liquid drops easily pinned on the surface because of high contact angle hysteresis (CAH), which is called a "petal effect": The petal effect occur because of gap between surface microstructures, despite of intrinsic hydrophobicity of the base material. The pore size and period of surface structure can be controlled by applied voltage during the etching. This method can be applied to wide variety of industrial demand for surface modification, while maintaining the advantageous anti-corrosion property of stainless steel.

Analysis of Surface Flashover Depending on Insulator Gap Distance in Vacuum (진공에서 절연체의 연면거리에 따른 파괴전압 분석)

  • Yoon, Jae-Hun;Lim, Jong-Nam;Lim, Kee-Jo;Kang, Seong-Hwa
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1471_1472
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    • 2009
  • In a wide variety of high-voltage applications surface flashover plays major role in the system's performance and yet has not been studied in great detail for vacuum conditions with modern diagnostic tools. surface flashover for both direct current and pulsed voltages in considered. within the setup, parameters such as geometry, material characteristics of the applied voltage can be altered. This paper review surface flashover of insulator, primarily in vacuum. It discusses theories and models relating to surface flashover and experimental results. surface flashover of insulators in vacuum generally is initiated by the emission of electrons from the cathode triple junction point (the region where the electrode, insulator, vacuum). the electrode material was copper, and a AC voltage was applied between the electrodes. these results were compared with the surface flashover characteristic of insulator at results, surface flashover influenced only insulator surface condition. and increasing vacuum pressure was risen breakdown voltage.

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SURFACE DEGRADATION OF GALLIUM-ALLOYS DURING TOOTH BRUSHING IN VITRO

  • Lee, Seok-Hyung
    • Journal of Dental Rehabilitation and Applied Science
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    • v.19 no.4
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    • pp.309-315
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    • 2003
  • When the exposure surface of restoration is brushed with various toothpaste in the mouth, wear or undesirable surface deposit of restoration can occur. Surface change of gallium alloys according to brushing and toothpaste may directly affect oral hygiene. The aim of this study was to evaluate the surface alterations of Gallium alloys during tooth brushing with different prophylactic agents. Two gallium-alloys and an amalgam as a control were investigated. Without and with brushing were applied with three kinds of prophylactic agents on the sample for 0, 1, 5, 10, 60 and 360 minutes. At each time interval, surface roughness was recorded by a profilometer and some pictures were taken by a SEM. All results were analyzed by the one-way ANOVA, followed by Tukey multiple comparisons and the simple linear regression analysis. The results indicate that gallium alloys are more susceptible to surface degradation during tooth brushing than amalgam with respect to the specific prophylactic agent used.

Fatigue Crack Growth, Coalescence Behavior and its Simulation on Multi-Surface Cracks Under the Elevated Temperature (고온하 복수 표면균열의 성장 합체거동과 시뮬레이션에 관한 연구)

  • 서창민;황남성;윤기봉
    • Journal of Ocean Engineering and Technology
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    • v.9 no.1
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    • pp.142-151
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    • 1995
  • A simulation program concerned with multi-surface fatigue cracks which initiated at the semi-circular surface notches has been developed to predict their growth and coalescence behaviors at the elevated temperature. Three kinds of coalescence models such as SPC(surface point connection), ASME and BSI(British Standards Institution) conditions were applied, and the results of the simulation were compared with those of the experiment. This simulation is able to enhance the reliance and integrity of structures especially under the elevated temperature which have lots of difficulties in experiments and applications. This shows that the simulation result has utility for fatigue life prediction. Even though all the specimens were the same shape, the error rate was increased in accordance with the applied stress to the specimen. Among the material constants C and m in the narrow band, the results applied upper values of the band to the simulation has shown quite small error compared with the experiment results.

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Surface-Enhanced Raman Spectroscopic Studies of Oriented Monolayers on Electrode Surfaces

  • Yoon, Wan-Shik;Im, Jung-Hyuk;Kim, Jae-Ho
    • Analytical Science and Technology
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    • v.8 no.4
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    • pp.699-705
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    • 1995
  • Monolayers of hypericin, a photodynamic polycyclic quinoidal compound, were prepared at the air-water interface, and were transferred to metal substrates to form Langmuir-Blodgett (LB) monolayers. The structural characteristics of hypericin LB monolayers and self-assembled (SA) monolayers were investigated using surface-enhanced resonance Raman scattering (SERRS) spectroscopy. Both the spectroscopic data and the surface pressure - area (${\pi}-A$) isotherms suggest that hypericin forms ${\pi}-{\pi}$ aggregates that orient vertically to the subphase surface. Whereas the ordering and orientation of control was less effective in SA monolayers, a higher structural regularity was attained in LB systems. The effect of subphase on the structural integrity of the monolayer was also investigated.

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A $C^2$ SURFACE EXTENSION METHOD USING SEVERAL CONTROL FUNCTIONS

  • Kim, Hoi-Sub;Ko, Kwan-Pyo;Yoon, Gang-Joon
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.7 no.2
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    • pp.1-11
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    • 2003
  • We suggest a method of $C^2$ surface extension with the aid of well-controlled functions. The extended surface is $C^2$ continuous along the old boundary. The function of the extension surface is obtained by replacing the monomials in the quadratic Taylor polynomial of the given surface-representing function by other functions subject to some boundary conditions. We present several sets of control functions. In order to illustrate our suggestion, it is shown that surfaces with a circular boundary and a square boundary can be extended using several base functions.

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A Study on the Application of ANN for Surface Roughness Prediction in Side Milling AL6061-T4 by Endmill (AL6061-T4의 측면 엔드밀 가공에서 표면거칠기 예측을 위한 인공신경망 적용에 관한 연구)

  • Chun, Se-Ho
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.5
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    • pp.55-60
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    • 2021
  • We applied an artificial neural network (ANN) and evaluated surface roughness prediction in lateral milling using an endmill. The selected workpiece was AL6061-T4 to obtain data of surface roughness measurement based on the spindle speed, feed, and depth of cut. The Bayesian optimization algorithm was applied to the number of nodes and the learning rate of each hidden layer to optimize the neural network. Experimental results show that the neural network applied to optimize using the Expected Improvement(EI) algorithm showed the best performance. Additionally, the predicted values do not exactly match during the neural network evaluation; however, the predicted tendency does march. Moreover, it is found that the neural network can be used to predict the surface roughness in the milling of aluminum alloy.