• Title/Summary/Keyword: Flake

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A Study on the Solidification Characteristics of CV Graphite Cast Iron (CV흑연주철(黑鉛鑄鐵)의 응고특성(凝固特性)에 관한 연구(硏究))

  • Chun, C.C.;Kim, S.Y.;Lee, G.W.
    • Journal of Korea Foundry Society
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    • v.5 no.3
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    • pp.5-12
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    • 1985
  • Many researchers have studied the eutectic solidification of CV Graphite Cast Iron qualitatively. However quantative studies have not been done. The type of eutectic solidification of CV Graphite Cast Iron treated with CG Alloy (Fe-Si-Mg-5Ti-Ca-Ce) was studied quantitatively through M.D.E. value (Mushy Degree of Eutectic Solidification) = $t_2/t_1)$, where $t_1$ is the difference of the eutectic solidification starting time between surface and center part of the casting sample, and $t_2$ is the time of eutectic solidification of the center part. Following results were obtained. (1) The M.D.E. value of CV graphite cast iron lies between that of spheroidal graphite and that of flake graphite cast iron but is closer to that of Flake graphite cast iron. (2) The M.D.E. value of CV graphite cast iron depends upon CV ratio. (3) The time required for eutectic solidification increases as graphite form is changed from Flake, CV. to spheroidal graphite. (4) The M.D.E. value increases as cooling rate increases.

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Highly Economic and High Quality Zinc-flake Manufacturing by High Kinetic Processing

  • Ren, H.;Benz, H.U.;Chimal V., O.;Corral G., M.S.;Zhang, Y.;Jaramillo V., D.;Zoz, H.
    • Proceedings of the Korean Powder Metallurgy Institute Conference
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    • 2006.09b
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    • pp.975-976
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    • 2006
  • The present paper is a parameter study of zinc flake production using a Simoloyer CM01 horizontal high energy rotary ball mill. The manufactured flakes have a dimension in thickness (t) < $1{\mu}m$ and diameters (d) 5-100 ${\mu}m$, consequently a ratio d/t up to 200. The flake geometry is mainly controlled by the variation of process parameters such as rotary speed of the rotor, ratio of powder/ball charge, load ratio of the system, process temperature, operating model and the quantity of process control agent (PCA). The Zn flakes were characterized by SEM, tap densitometry, laser diffraction and water coverage measurement.

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Black Phosphorus Nano Flake Lithium Ion Battery Using Electrophoretic Deposition (전기영동 증착법을 이용한 Black Phosphorus Nano Flake 리튬이온 배터리)

  • Kim, Juyun;Park, Byoungnam
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.32 no.3
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    • pp.252-255
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    • 2019
  • Black phosphorus (BP) is a potential candidate for an anode in lithium ion batteries due to its high theoretical capacity and the large interlayer spacing in the monolayered phosphorene form, allowing for lithium intercalation/deintercalation. In this study, large-scale exfoliation of bulk BP was accomplished using a solution of NaOH and N-methyl-2-pyrrolidone (NMP), yielding phosphorene, which can be assembled into nanoflakes using electrophoretic deposition (EPD). Through the systematic addition of NaOH and subsequent sonication, BP nanoflakes were obtained in high yields by EPD, allowing for the integration of these nanoflakes into an anode in the film state. Anodes with a charge/discharge capacity of 172 mAh/g at a rate of 200 mA/g were obtained, which are promising for battery applications through various post-film treatments.

An Artificial Neural Network for Efficiently Learning and Representation the Advection and Remove of Fire-Flake Particles (불똥 입자의 이류과 삭제를 효율적으로 학습 표현하는 인공신경망)

  • Kim, Donghui;Kim, Jong-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.345-348
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    • 2022
  • 본 논문에서는 유체 시뮬레이션(Fluid simulation)중 화염에서 표현되는 불똥 입자(Fire-flake particle)의 생성, 움직임과 삭제를 효율적으로 학습하고 표현할 수 있는 인공지능 기법에 대해 소개한다. 유체 시뮬레이션을 계산하기 위해서는 일반적으로 수치해석학과 같은 학문의 이해가 필요하며 불똥이나 거품과 같은 유체의 2차 효과(Secondary effect)는 기반유체(Underlying fluids)를 통해 추출되기 때문에 복잡하고 계산양이 많아진다. 이러한 문제를 완화하고자 본 논문에서는 인공신경망을 이용한 분류 모델 학습을 통해 격자 내에서 표현되어야 하는 불똥 입자의 생성을 학습하고, 다항 회귀 모델 학습을 통해 불똥 입자의 움직임을 예측한다. 또한, 불똥 입자가 삭제되어야하는 상태를 네트워크 학습을 통해 얻어내며, 수명(Lifespan) 임계값 조절하여 다양한 장면에서 불똥을 제어할 수 있다. 결과적으로 화염의 움직임을 기반으로 불똥의 움직임을 복잡한 수학식이나 디자이너에게 의존하지 않고 인공지능 학습을 통해 쉽게 제어하고 예측하는 결과를 보여준다.

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Efficient Learning Representation of Fire-Flake Particle Generation with Linear Regression (불똥 입자 생성을 효율적으로 학습 표현하기 위한 선형 회귀)

  • Kim, Sumi;Kim, Donghui;Kim, Jong-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.615-616
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    • 2022
  • 본 논문에서는 간단한 선형 회귀를 이용하여 복잡한 불 시뮬레이션(Fire simulation)에서 표현되는 불똥 입자(Fire-flake particle)을 효율적으로 생성할 수 있는 방법을 제안한다. 일반적으로 불 시뮬레이션에서 불꽃은 격자기반으로 표현하고, 불똥은 입자로 표현하는 입자-격자 하이브리드 시스템을 이용한다. 이러한 방식을 그대로 인공신경망에 사용을 하게 되면 상대적으로 메모리가 많이 필요하며 계산양도 증가된다. 특히, 불똥 입자가 존재하지 않는 부분에서도 격자 공간에 대한 메모리를 할당해야 되기 때문에 고해상도 불똥 효과를 학습하는데 있어서 많은 문제점을 가지고 있다. 이러한 문제를 완화하기 위해 본 논문에서는 격자 단위가 아닌, 입자 단위로 불똥 입자 생성을 학습할 수 있는 방법을 제안한다.

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Functional Characteristics of Job's-tears Flakes Subjected to Varying Degree of Heating (율무 flake 제조시 가열정도에 따른 특성)

  • Lee, Young-Tack;Seog, Ho-Moon;Kim, Sung-Soo;Hong, Hee-Do;Kim, Kyung-Tack
    • Korean Journal of Food Science and Technology
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    • v.27 no.5
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    • pp.640-645
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    • 1995
  • Job's-tears(Coix lachryma-jobi L. var. Ma-yuen Stapf) seeds were processed to flakes by soaking, heat treatment, intermediate-moisture drying, flaking, drying, and cooking. Some functional properties of job's-tears flakes subjected to varing degree of heating were characterized by specific volume, texture, water absorption index(WAI), water solubility index(WSI), and viscosity. As degree of gelitinization increased within the intermediate range of $60{\sim}70%$, steam-cooked Job's-tears demonstrated appropriate rheological properties for further processes, resulting in increased specific volume and decreased breaking strength. However, excessive heat treatment rendered Job's-tears undesirably sticky for flaking, which caused adverse effects on the functional properties of flakes such as specific volume and breaking strength. Increasing steaming time$(5{\sim}30\;min)$ caused an increase in WAI and WSI values. Apparent viscosity of powdered flakes was increased with the extent of gelitinization as a function of heat processing. Viscosity of powdered flakes determined using the amylograph increased with the degree of heating applied to Job's-tears at low pasting temperatures, accompanied by a decrease in maximum viscosity as the pasting temperature increased.

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Influence of Precursor on the Electrochemical Properties of Li(Ni0.5Co0.2Mn0.3)O2 Cathode for the Lithium Secondary Battery (전구체의 물성에 따른 리튬 2차전지용 Li(Ni0.5Co0.2Mn0.3)O2의 전기화학적 특성 변화)

  • Kang, Donghyun;Arailym, Nurpeissova;Chae, Jeong Eun;Kim, Sung-Soo
    • Journal of the Korean Electrochemical Society
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    • v.16 no.4
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    • pp.191-197
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    • 2013
  • The one of the cathode material, $Li(Ni_{0.5}Co_{0.2}Mn_{0.3})O_2$, was synthesized by the precursor, $Ni_{0.5}Co_{0.2}Mn_{0.3}(OH)_2$, from the co-precipitation method and the morphologies of the primary particle of precursors were flake and needle-shape by controlling the precipitation parameters. Identical powder properties, such as particle size, tap density, chemical composition, were obtained by same process of lithiation and heat-treatment. The relation between electrochemical performances of $Li(Ni_{0.5}Co_{0.2}Mn_{0.3})O_2$ and the primary particle morphology of precursors was analyzed by SEM, XRD and EELS. In the $Li(Ni_{0.5}Co_{0.2}Mn_{0.3})O_2$ cathode from the needle-shape precursor, the primary particle size was smaller than that from flake-shape precursor and high Li concentration at grain edge comparing grain center. The cycle and rate performances of the cathode from needle-shape precursor shows superior to those from flake-shape precursor, which might be attributed to low charge-transfer resistance by impedance measurement.

Manufacturing of Hemp Seed Flake by Using Extrusion Process (압출성형공정을 이용한 삼 종자 후레이크 제조)

  • Tie, Jin;Gu, Bon-Jae;Ryu, Gi-Hyung
    • Food Engineering Progress
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    • v.14 no.2
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    • pp.99-105
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    • 2010
  • Proximate composition of whole hemp seed, paste viscosity of whole hemp seed pellets, bulk density, color, compression force, water solubility and absorption index and bowl life of whole hemp seed flakes manufactured by extrusion process were determined to evaluate whole hemp seed as flake additive. Extrusion process conditions were 35% of moisture content and 90, 100 and 110$^{\circ}C$ of barrel temperature. Content of moisture content, crude protein, crude fat, crude ash from whole hemp seed were 5.67${\pm}$0.02%, 25.93${\pm}$0.16%, 28.21${\pm}$0.56% and 7.70${\pm}$0.08%, respectively. The pellets hemp seed at 100 or 110$^{\circ}C$ had higher paste viscosity as compared to those pellet at 90$^{\circ}C$. The bulk density values of all hemp seed flakes were between 0.24 to 0.43 g/mL, depending on the barrel temperatures. The hardness of flake increased with decreasing percentage of hemp seed in flakes. An increase in barrel temperature from 90$^{\circ}C$ to 110$^{\circ}C$ resulted in increase of WSI and decrease of WAI. The bowl life of hemp seed flakes was increased from 5.8 to 15.5 min with the decrease in percentage of hemp seed. The highest overall quality was showed in flake added with 20% of hemp seed.

A Study of Dynamic Properties of Graphene-Nanoribbon Memory (그래핀 나노리본 메모리의 동적 특성에 대한 연구)

  • Lee, Jun Ha
    • Journal of the Semiconductor & Display Technology
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    • v.13 no.2
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    • pp.53-56
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    • 2014
  • In this work, we investigate the operational properties of this proposed device in detail via classical MD simulations. The bi-stability of the GNF(Graphene Nano-flake) shuttle encapsulated in bi-layer GNR could be achieved from the increase of the attractive energy between the GNRs when the GNF approached the edges of the GNRs. This result showed the potential application of the nano-electromechanical GNR memory as a NVRAM.