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Effect of Milling Time on Pore Size and Distribution of Ti-Nb-Zr Biomaterials with Space Holder Consolidated by Spark Plasma Sintering

  • Kim, Dong-Gun;Woo, Kee-Do;Kang, Dong-Soo;Lee, Tack
    • Korean Journal of Materials Research
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    • v.24 no.2
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    • pp.111-115
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    • 2014
  • Titanium and its alloys are useful for implant materials. In this study, porous Ti-Nb-Zr biomaterials were successfully synthesized by powder metallurgy using a $NH_4HCO_3$ as space holder and $TiH_2$ as foaming agent. Consolidation of powder was accomplished by spark plasma sintering process(SPS) at $850^{\circ}C$ under 30 MPa condition. The effect of high energy milling time on pore size and distribution in Ti-Nb-Zr alloys with space holder($NH_4HCO_3$) was investigated by optical microscope(OM), scanning electron microscope(SEM) & energy dispersive spectroscopy(EDS) and X-ray diffraction(XRD). Microstructure observation revealed that, a lot of pores were uniformly distributed in the Ti-Nb-Zr alloys as size of about $30-100{\mu}m$ using mixed powder and milled powders. In addition, the pore ratio was found to be about 5-20% by image analysis, using an image analyzer(Image Pro Plus). Furthermore, the physical properties of specimens were improved with increasing milling time as results of hardness, relative density, compressive strength and Young's modulus. Particularly Young's modulus of the sintered alloy using 4h milled powder reached 52 GPa which is similar to bone elastic modulus.

Damage detection in structures using modal curvatures gapped smoothing method and deep learning

  • Nguyen, Duong Huong;Bui-Tien, T.;Roeck, Guido De;Wahab, Magd Abdel
    • Structural Engineering and Mechanics
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    • v.77 no.1
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    • pp.47-56
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    • 2021
  • This paper deals with damage detection using a Gapped Smoothing Method (GSM) combined with deep learning. Convolutional Neural Network (CNN) is a model of deep learning. CNN has an input layer, an output layer, and a number of hidden layers that consist of convolutional layers. The input layer is a tensor with shape (number of images) × (image width) × (image height) × (image depth). An activation function is applied each time to this tensor passing through a hidden layer and the last layer is the fully connected layer. After the fully connected layer, the output layer, which is the final layer, is predicted by CNN. In this paper, a complete machine learning system is introduced. The training data was taken from a Finite Element (FE) model. The input images are the contour plots of curvature gapped smooth damage index. A free-free beam is used as a case study. In the first step, the FE model of the beam was used to generate data. The collected data were then divided into two parts, i.e. 70% for training and 30% for validation. In the second step, the proposed CNN was trained using training data and then validated using available data. Furthermore, a vibration experiment on steel damaged beam in free-free support condition was carried out in the laboratory to test the method. A total number of 15 accelerometers were set up to measure the mode shapes and calculate the curvature gapped smooth of the damaged beam. Two scenarios were introduced with different severities of the damage. The results showed that the trained CNN was successful in detecting the location as well as the severity of the damage in the experimental damaged beam.

The Effects of Brand Attachment, Brand Name, and Brand Image Congruence on Brand Attitude, WOM and Revisit Intentions in the Restaurant Sector (브랜드 애착, 브랜드 네임, 브랜드 이미지 일치성이 태도, 구전 및 재방문의도에 미치는 영향)

  • KIM, Eun-Jung
    • The Korean Journal of Franchise Management
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    • v.13 no.2
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    • pp.53-66
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    • 2022
  • Purpose: How to build the attitude on brand is very important, because it affects the positive word of mouth and revisit intention. Brand attachment, brand name, and image congruence play important role on consumer behavior in terms of reinforcing consumers' perception of food service companies and differentiating them from competing brands. Following the planned behavior theory, this paper examines the effect of linking brand attitude to word-of-mouth and revisit intentions in the restaurant sector. Research design, data, and methodology: This paper examines the structural relationship among brand attachment, brand name, image congruence, brand attitude, WOM, and revisit intention. In order to test the purposes of this study, research model and hypotheses were developed. The questionnaire items were modified and used according to the content of this study based on previous studies. All constructs were measured by multiple items tested and developed in the previous research. The study is based on the quantitative method and considered 519 questionnaires fulfilled by customers of restaurants. The data were explored employing the partial least square-structural equation modelling (PLS-SEM). Frequency analysis was conducted to identify the general characteristics of the survey subjects. To measure the reliability and validity of the measurement tools, confirmatory factor analysis was conducted. Structural model analysis was conducted to verify the research model. Result: The findings demonstrate that brand attachment and brand name had positive effects on attitude while image congruence did not have. Also, attitude had positive effect on WOM and revisit intention. Conclusions: This study expands the literature about WOM and revisit intentions. This study expands prior research in a similar field to which the theory of planned behavior (TPB) is applied, and reveals that brand attachment, brand name, and brand image congruence play an important role in developing brand attitude that affect revisit intention and WOM. And provide guidelines on how to enhance competitiveness in the restaurant sector based on understanding of linking brand attitude to customer loyalty and repeat business. By putting into practice these suggestions in the restaurant industry, brands can easily build up their attitude and boost a positive WOM and the intention to revisit.

Preparation of Novel PS-zeolite Beads Immobilized Zeolite with Polysulfone for Radioactive Materials (Polysulfone으로 제올라이트 A를 고정화한 방사성 물질제거용 PS-zeolite 비드 제조)

  • Lee, Chang-Han;Park, Jeong-Min;Kam, Sang-Kyu;Lee, Min-Gyu
    • Journal of Korean Society of Environmental Engineers
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    • v.37 no.3
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    • pp.145-151
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    • 2015
  • In order to remove Sr ions and Cs ions from aqueous solution, PS-zeolite beads were prepared by immobilizing zeolite with polysulfone (PS). The prepared PS-zeolite beads were characterized by SEM, XRD, FT-IR, and TGA. The optimum condition to prepare PS-zeolite beads was 1.25 g of PS content and 2 g of zeolite A. The removal efficiencies of Sr and Cs ions by the PS-zeolite beads increased as the solution pH increases and nearly reached a plateau at pH 4. The PS-zeolite beads prepared in this study showed a remarkably high selectivity for Sr ion and Cs ion under the coexistence of ions such as $Na^+$, $K^+$, $Mg^{2+}$, and $Ca^{2+}$. Zeolite particles detached from the PS-zeolite beads were not observed on this experiments, and also the PS-zeolite beads maintained the morphological structure on a SEM image. The removal efficiencies of Sr ions and Cs ions by PS-zeolite beads were maintained over 90% even after five adsorption-desorption cycles. These results implied that the prepared PS-zeolite beads could be an available adsorbent for the adsorption of Sr and Cs ions. These results suggest that the PS-zeolite can potentially be used as an adsorbent in radioactive ions removal for the treatment of industrial wastewater.

A Study on the Damage Degree of Hair Dye Treatments and the Impact of Heavy Metals (트리트먼트(Treatment)를 이용한 모발 염색이 손상도와 중금속 함량에 미치는 영향)

  • Lee, Tae-Sook;Kim, Younghee
    • Journal of Digital Convergence
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    • v.15 no.10
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    • pp.551-557
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    • 2017
  • Hair beauty treatments that can express individuality have increased and diversified. However, their repetitive use has also brought about hair damage. To reduce such damage, the importance of hair treatments when receiving chemotherapy has magnified greatly. In this study, the hair (normal hair, NH) of 5 people in their 20s has been collected and observed with SEM before dyeing (NH), after dyeing (DH) and after dyed and treated (DTH) to measure the hair's morphological damage and mineral content. SEM observation results revealed that, in DTH, a cuticle-like arrangement appears almost uniformly, the hair settles, the lines are smooth, and the damage degree is low. Regarding mineral content, the concentration of minerals was generally balanced. However, in the observation of toxic minerals and minerals found in large amounts, the concentration of Ba, Na, Ca, and Mg was higher than the balance range in NH, DH, and DTH.

Ornamented Dagger Sheath from Gyerim-ro Tomb No.14, Gyeongju: On the Joining Process of Gold Granules (경주 계림로 14호분 장식보검 금립의 접합방법에 관한 고찰)

  • Yu, Heisun
    • Conservation Science in Museum
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    • v.16
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    • pp.4-13
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    • 2015
  • In most gold objects crafted using the granulation technique that have been thus far discovered in the Korean Peninsula, granules were joined using a soldering alloy of gold and silver. However, it was recently revealed through SEM-EDS analysis performed on the ornamented dagger sheath from Gyerim-ro Tomb No.14 in Gyeongju that the gold granules were joined to the surface of this sheath using an entirely different technique. The gold granules on the Gyerim-ro dagger sheath are evenly sized and shaped, the surface has a dendritic texture. Dendritic textures are a characteristic feature of metal alloys, not observed in pure metals. As a matter of fact, the gold granules were made of a ternary alloy of 77wt% Au, 18wt% Ag and 4wt% Cu. Due to this component, the alloy has a melting point below 1000℃ (approximately 980℃), which is significantly lower than 1064℃, the melting temperature of pure gold. This makes it possible to join the gold granules directly to the surface of the sheath by briefly heating them to high temperature, without the use of soldering or any other media. When examined through SEM image, the surface of the sheath showed no traces of soldering, it suggests that the granules were joined through unaided fusion.

Surface Modification of Poly(vinylidene fluoride) Membranes using Surface Modifying Macromolecules (SMMs) and Their Application to Pervaporation Separation (SMMs을 이용한 고분자막의 표면개질과 이의 투과증발분리 연구)

  • Rhim, Ji-Won;Lee, Byung-Seong;Kim, Dae-Hoon;Lee, Bo-Sung;Yoon, Seok-Won;Im, Hyeon-Soo;Moon, Go-Young;Nam, Sang-Yong;Byun, Hong-Sik
    • Membrane Journal
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    • v.18 no.3
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    • pp.206-213
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    • 2008
  • Poly(vinylidene fluoride) (PVDF) membrane surfaces were modified using surface modifying macromolecules (SMMs). The Zonyl BA-L as SMM was used and the various PVDF membranes containing 0 to 2 wt% SMM were prepared. The resulting membranes were characterized through SEM, contact angle measurements and pervaporation separation of water-ethanol system. SMM layers were created in the surface regions of PVDF membranes by SEM images and the contact angles were increased more than untreated PVDF membranes. The pervaporation was carried out at 50, 60 and $70^{\circ}C$, and the PVDF membranes containing 1 and 2 wt% SMM were used for 10, 20, 50 wt% water in the binary water/ethanol mixtures and pure water. PVDF/2 wt% Zrlnyl BA-L membrane showed the permeability 5.3 $g/m^2hr$ and separation factor 287 at $50^{\circ}C$ for water : ethanol = 10 : 50 solution.

The Effect of the Mixing Order on PVA Fiber-Reinforced Cementitious Composites with CNTs (CNT 혼입 PVA 섬유보강 시멘트 복합체에서의 배합 순서에 따른 영향)

  • Seong-Hyun Park;Dongmin Lee;Seong-Cheol Lee
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.11 no.2
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    • pp.130-137
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    • 2023
  • This study analyzed the effect of mixing order on the flowability, compressive strength, and flexural strength of cement composites reinforced with polyvinyl alcohol(PVA) fibers and multi-walled carbon nanotubes(MWCNTs). The experimental results showed that the addition of CNTs significantly reduced the flowability, and the flowability was considerably affected by the mixing order when CNTs were added. The compressive strength was most effectively improved when water and CNTs solution were mixed first before adding PVA fibers, and the flexural strength was highest when water and CNTs solution were mixed with PVA fibers after dry mixing. However, there was no clear correlation between the flexural toughness and the mixing order. In addition, scanning electron microscopy(SEM) image analysis was conducted to analyze the microstructure. The SEM images showed that CNTs were randomly dispersed through the specimens and contributed to the strength improvement, but the effect of the mixing order was not clearly observed. The main results of this study are expected to be useful for evaluations of workability and material performance of PVA fiber-reinforced cement composites with CNTs.

Effect of argon dilution on diamond nucleation with bias enhancement (바이어스 부가에 따른 다이아몬드 핵생성에서 아르곤 혼합의 효과)

  • 서형기;안사리S.G.;트란란안;신형식
    • Proceedings of the Materials Research Society of Korea Conference
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    • 2002.05a
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    • pp.132-132
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    • 2002
  • Diamond is well known as the hardest material in nature. It also has other unique bulk physical and mechanical properties, such as very high thermal conductivity and broad optical transparency, which enable a number of new applications now that large areas of diamond can be fabricated by the new diamond plasma chemical vapor deposition (CVD) technologies. A study on the effects of growth kinetics and properties of diamond films obtained by addition of argon (~7 vol. %) into the methane/hydrogen mixture is carried out using HFCVD system. A negative bias was used as a nucleation enhancement method in addition to the argon dilution. The scanning electron microscopy (SEM) image of surface morphology shows well faceted crystallites with a predominance of angular shapes corresponding to <100> and <110> crystalline surfaces. The nucleation density and growth rate with argon dilution is two orders of magnitude higher than without argon deposition. The Raman spectra show a good quality film whereas XPS spectra show existence of only diamond phase.

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Effects of Oxide Layer Formed on TiN Coated Silicon Wafer on the Friction and Wear Characteristics in Sliding (미끄럼운동 시 TiN 코팅에 형성되는 산화막이 마찰 및 마멸 특성에 미치는 영향)

  • 조정우;이영제
    • Tribology and Lubricants
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    • v.18 no.4
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    • pp.260-266
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    • 2002
  • In this study, the effects of oxide layer farmed on the wear tracks of TiN coated silicon wafer on friction and wear characteristics were investigated. Silicon wafer was used for the substrate of coated disk specimens, which were prepared by depositing TiN coating with 1 ${\mu}{\textrm}{m}$ in coating thickness. AISI 52100 steel ball was used fur the counterpart. The tests were performed both in air for forming oxide layer on the wear track and in nitrogen to avoid oxidation. This paper reports characterization of the oxide layer effects on friction and wear characteristics using X-ray diffraction(XRD), Auger electron spectroscopy(AES), scanning electron microscopy (SEM) and multi-mode atomic force microscope(AFM).