• 제목/요약/키워드: Surface Analysis

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Effect of sintering programs and surface treatments on monolithic zirconia

  • Seren Nur Dokuzlu ;Meryem Gulce Subasi
    • The Journal of Advanced Prosthodontics
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    • 제16권1호
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    • pp.25-37
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    • 2024
  • PURPOSE. To investigate the effect of sintering programs and surface treatments on surface properties, phase transformation and flexural strength of monolithic zirconia. MATERIALS AND METHODS. Zirconia specimens were sintered using three distinct sintering programs [classic (C), speed (S), and superspeed (SS)] (n = 56, each). One sample from each group underwent scanning electron microscopy (SEM) and grain size analysis following sintering. Remaining samples were divided into five subgroups (n = 11) based on the surface treatments: control (CL), polish (P), glaze (G), grind + polish (GP), and grind + glaze (GG). One sample from each subgroup underwent SEM analysis. Remaining samples were thermally aged. Monoclinic phase volume, surface roughness, and three-point flexural strength were measured. Monoclinic phase volume and surface roughness were analyzed by Kruskal-Wallis and Dunn tests. Flexural strength was analyzed by two-way ANOVA and Weibull analysis. The relationships among the groups were analyzed using Spearman's correlation analysis. RESULTS. Sintering program, surface treatment, and sintering × surface treatment (P ≤ .010) affected the monoclinic phase volume, whereas the type of surface treatment and sintering × surface treatment affected the surface roughness (P < .001). Type of sintering program or surface treatment did not affect the flexural strength. Weibull analysis revealed no significant differences between the m and σo values. Monoclinic phase volume was positively correlated with surface roughness in the SGG and SSP groups. CONCLUSION. After sintering monolithic zirconia in each of the three sintering programs, each of the surface treatments can be used. However, for surface quality and aging resistance, G or GG can be recommended as a surface finishing method.

수치적 방법을 이용한 3차원 거친 표면의 마모 해석 (Numerical Wear Analysis of a Three-dimensional Rough Surface)

  • 김윤지;서준호;김봉준;유용훈
    • Tribology and Lubricants
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    • 제36권4호
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    • pp.232-243
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    • 2020
  • It is essential to predict the amount of wear and surface parameters for a surface where relative motion occurs. In the asperity-based model for wear prediction, only the average contact pressure can be obtained. Hence, the accuracy of wear analysis is poor. In this study, DC-FFT is used to obtain the pressure of each node, and wear analysis is performed by considering the effect of the pressure gradient. The numerical surface generation method is used to create Gaussian, negatively skewed, and positively skewed surfaces for wear analysis. The spatial and height distributions of each surface are analyzed to confirm the effectiveness of the generated surface. Furthermore, wear analysis is performed using DC-FFT and Archard's wear formula. After analysis, it is confirmed that all peaks are removed and only valleys remain on the surface. The RMS roughness and Sk continue to decrease and Ku increases as the cycle progresses. It is observed that the surface parameters are significantly affected by the radius of curvature of the asperity. This analysis method is more accurate than the existing average wear and truncation models because the change in asperity shape during the wear process is reflected in detail.

표면분석용 인증표준물질의 개발 I : 표면조성분석용 합금박막 표준물질 (Development of certified reference material (CRM)s for surface analysis I : alloy thin film for surface compositional analysis)

  • 김경중;박용섭;문대원
    • 한국진공학회지
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    • 제8권3B호
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    • pp.276-282
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    • 1999
  • For the quantitative surface analysis of multicomponent materials, algorithms for the compensation of the matrix effect and surface compositional change by ion beam sputtering must be established and reference materials having certified compositions are necessary. These certified reference material (CRM)s are needed for the improvement of instrument performance, inter-laboratory comparison and quantitative surface analysis. Surface analysis group of KRISS developed alloy thin film CRMs by and ion beam sputter deposition system and in-situ surface analysis system to control the composition of alloy thin films The real compositions of the CRMs were certified by inductively coupled plasma-atomic emission spectroscopy (ICP-AES).

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Daily Changes in Red-Pepper Leaf Surface Temperature with Air and Soil Surface Temperatures

  • Eom, Ki-Cheol;Lee, Byung-Kook;Kim, Young-Sook;Eom, Ho-Yong
    • 한국토양비료학회지
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    • 제47권5호
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    • pp.345-350
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    • 2014
  • This study was conducted to investigate the changes in daily surface temperature of red pepper leaf compared to air and soil surface temperature. The maximum, minimum and average daily temperatures of red pepper leaf were 27.80, 11.40 and $19.01^{\circ}C$, respectively, which were lower by 0.10, 7.60 and $3.86^{\circ}C$ than air temperature, respectively, and lower by 15.00, 0.0 and $4.38^{\circ}C$ than soil surface temperature, respectively. Mean deviations of the difference between measured and estimated temperature by the E&E Model (Eom & Eom, 2013) for the air and surface temperature of red pepper leaf and soil were 0.64, 1.82 and $4.77^{\circ}C$, respectively. The relationships between measured and estimated scaled factor of the air and surface temperature of red pepper leaf and soil were very close to the 1:1 line. Difference between air and surface temperature of red pepper leaf showed a linear decreasing function with the surface temperature of red pepper leaf. Difference between soil surface temperature and air and surface temperature of red pepper leaf linearly increased with the soil surface temperature.

발의 체표면적 특성에 관한 연구 (A Study on the Property of the Foot Form through a Development Figure of the Surface Area)

  • 문명옥
    • 복식
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    • 제36권
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    • pp.43-52
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    • 1998
  • This study was to analyze properties of the foot form through a development figure of the surface area by factor analysis, cluster analysis, and reglation analysis. This study was performed 71 college women between 19 adn 23 years old residing in Pusan urban area. The result was as follows; 1. There are four factors selected by factor analysis. The 1st factor signifies the surface area of the toe. The 2nd factor signifies the surface area between Metatarsal circumfer-ence and Tarsal circumference. The 3rd factor signifies the surface area between Toe circumference and Metatarsal circumference. The 4th factor signifies the surface area between Heel-ankle circumference. 2. There are three clusters selected by fast cluster. Cluster 1 : The foot size, most parts of foot surface area and total foot surface area are relatively small to other clusters, but the surface area between Metatarsal circumference and Tarsal circumference is relatively large to other clusters. Cluster 2 : The foot size, all parts of foot surface area and total foot surface area are relatively large to other clusters as Cluster 1, but the surface area of the sole of the heel and the ankle is relatively large to other clusters. 3. Total surface area of the foot=-274.94+24.01* Foot lengh+9.28*Metatarsal circumference.

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Al합금 PCD 선산가공에서 회귀분석에 의한 표면거칠기 예측 (Prediction of Surface Roughness on the PCD Tool Turned Aluminum Alloys by using Regression Analysis)

  • 이선우;이동주
    • 한국기계가공학회지
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    • 제11권3호
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    • pp.41-47
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    • 2012
  • Surface roughness is widely used as an index for processing degree of accuracy. Recently, regression analysis to predict the machining results are actively used to characterize a cutting operations. In the past, diamond machining had been used for ultra precision cutting operation, but now industrial diamond tools like PCD(Polycrystaline Diamond) has been widely used in ultraprecision machining of nonferrous metals. In this study, the authors focus on the effect of PCD tool property on the surface roughness of different types of aluminum alloy after cutting process by CNC operated lathe. Based on the regression analysis approach on a surface roughness data obtained by experiment, predictive analysis of surface roughness is effective to achieve better surface quality.

Al5083 PCD 선삭가공에서 회귀분석에 의한 표면거칠기 예측 (A Prediction of Surface Roughness on the PCD Tool Turned Al5083 by using Regression Analysis)

  • 이선우;이동주
    • 한국기계가공학회지
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    • 제11권6호
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    • pp.69-74
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    • 2012
  • Surface roughness is widely used as an index for processing degree of accuracy. Recently, regression analysis to predict the machining results are actively used to characterize a cutting operations. In the past, diamond machining had been used for ultra precision cutting operation, but now industrial diamond tools like PCD(Polycrystalline Diamond) have been widely used in ultraprecision machining of nonferrous metals. In this study, the authors focus on the effect of PCD tool property on the surface roughness of Al5083 aluminum alloy after cutting process by CNC operated lathe. Based on the regression analysis approach on a surface roughness data obtained by experiment, predictive analysis of surface roughness is effective to achieve better surface quality.

1차원 표면유동의 정량화에 따른 직사각형 용기내의 정상유동 해석 (Analysis of Steady Flows in a Rectangular Container with a Characterization of the Free Surface by One-Dimensional Motion)

  • 변민수;서용권
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2001년도 추계학술대회 논문집
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    • pp.227-231
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    • 2001
  • Analysis of two-dimensional unsteady flows with a free surface in a rectangular container subject to a linear reciprocating force is performed by numerical and experimental methods. FVM is used for the numerical computation of the two-dimensional flows. We consider the surface tension as well as the viscous/elastic properties of the free surface. One-dimensional analysis as well as experiment is used in establishing the free surface properties. The steady recirculatory flow is visualized by a laser sheet. It is shown that the one-dimensional analysis provides useful informations associated with the free surface properties.

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Road Surface Data Collection and Analysis using A2B Communication in Vehicles from Bearings and Deep Learning Research

  • Young-Min KIM;Jae-Yong HWANG;Sun-Kyoung KANG
    • 한국인공지능학회지
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    • 제11권4호
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    • pp.21-27
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    • 2023
  • This paper discusses a deep learning-based road surface analysis system that collects data by installing vibration sensors on the 4-axis wheel bearings of a vehicle, analyzes the data, and appropriately classifies the characteristics of the current driving road surface for use in the vehicle's control system. The data used for road surface analysis is real-time large-capacity data, with 48K samples per second, and the A2B protocol, which is used for large-capacity real-time data communication in modern vehicles, was used to collect the data. CAN and CAN-FD commonly used in vehicle communication, are unable to perform real-time road surface analysis due to bandwidth limitations. By using A2B communication, data was collected at a maximum bandwidth for real-time analysis, requiring a minimum of 24K samples/sec for evaluation. Based on the data collected for real-time analysis, performance was assessed using deep learning models such as LSTM, GRU, and RNN. The results showed similar road surface classification performance across all models. It was also observed that the quality of data used during the training process had an impact on the performance of each model.

Development of Ion Implanted Standards

  • Kim, Hyun-Kyung;Kim, Kyung-Joong;Moon, Dae-Won
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 1996년도 제10회 학술발표회 논문개요집
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    • pp.178-178
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    • 1996
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