• Title/Summary/Keyword: Aluminum-based composite

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A Surfactant-based Method for Carbon Coating of LiNi0.8Co0.15Al0.05O2 Cathode in Li Ion Batteries

  • Chung, Young-Min;Ryu, Seong-Hyeon;Ju, Jeong-Hun;Bak, Yu-Rim;Hwang, Moon-Jin;Kim, Ki-Won;Cho, Kwon-Koo;Ryu, Kwang-Sun
    • Bulletin of the Korean Chemical Society
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    • v.31 no.8
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    • pp.2304-2308
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    • 2010
  • A $LiNi_{0.8}Co_{0.15}Al_{0.05}O_2$ (LNCAO/C) active material composite cathode was coated with carbon. The conductive carbon coating was obtained by addition of surfactant during synthesis. The addition of surfactant led to the formation of an amorphous carbon coating layer on the pristine LNCAO surface. The layer of carbon coating was clearly detected by FE-TEM analysis. In electrochemical performance, although the LNCAO/C showed similar capacity at low C-rate conditions, the rate capability was improved by the form of the carbon coating at high current discharge state. After 40 cycles of charge-discharge processes, the capacity retention of LNCAO/C was better than that of LNCAO. The carbon coating is effectively protected the surface structure of the pristine LNCAO during Li insertion-extraction.

A Study of the Affected Layer and Stress Corrosion Crack of Ultra-high-strength Steel (300M) for Aircraft Parts (항공기용 초고장력강(300M) 부품의 가공변질층과 응력부식균열에 관한 연구)

  • Ahn, Jinwoo;Kim, Taehwan
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.4
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    • pp.1-8
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    • 2020
  • Mechanical components that support structures in aerospace and power generation industries require high-strength materials. Particularly, in the aerospace industry, aluminum alloys, titanium alloys, and composite materials are increasingly used due to their high maneuverability and durability to withstand low temperature extreme environments; however, ultra-high-strength steel is still used in key components under heavy loads such as landing gears. In this paper, the fault cause analysis and troubleshooting of aircraft parts made of ultra-high-strength steel (300M) broken during normal operation are described. To identify the cause of the defect, a temporary inspection of the same aircraft was performed, and material testing, non-destructive inspection, microstructure examination, and fracture area inspection of the damaged parts were performed. Fracture analysis results showed that a crack in the shape of a branch developed from the tool mark in the direction of the intergranular strain. Based on the results, the cause of fracture was confirmed to be stress corrosion.

Energy absorption characteristics of diamond core columns under axial crushing loads

  • Azad, Nader Vahdat;Ebrahimi, Saeed
    • Steel and Composite Structures
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    • v.21 no.3
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    • pp.605-628
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    • 2016
  • The energy absorption characteristics of diamond core sandwich cylindrical columns under axial crushing process depend greatly on the amount of material which participates in the plastic deformation. Both the single-objective and multi-objective optimizations are performed for columns under axial crushing load with core thickness and helix pitch of the honeycomb core as design variables. Models are optimized by multi-objective particle swarm optimization (MOPSO) algorithm to achieve maximum specific energy absorption (SEA) capacity and minimum peak crushing force (PCF). Results show that optimization improves the energy absorption characteristics with constrained and unconstrained peak crashing load. Also, it is concluded that the aluminum tube has a better energy absorption capability rather than steel tube at a certain peak crushing force. The results justify that the interaction effects between the honeycomb and column walls greatly improve the energy absorption efficiency. A ranking technique for order preference (TOPSIS) is then used to sort the non-dominated solutions by the preference of decision makers. That is, a multi-criteria decision which consists of MOPSO and TOPSIS is presented to find out a compromise solution for decision makers. Furthermore, local and global sensitivity analyses are performed to assess the effect of design variable values on the SEA and PCF functions in design domain. Based on the sensitivity analysis results, it is concluded that for both models, the helix pitch of the honeycomb core has greater effect on the sensitivity of SEA, while, the core thickness has greater effect on the sensitivity of PCF.

Hydrolytic Stability of Cured Urea-Melamine-Formaldehyde Resins Depending on Hydrolysis Conditions and Hardener Types

  • Park, Byung-Dae;Lee, Sang-Min
    • Journal of the Korean Wood Science and Technology
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    • v.43 no.5
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    • pp.672-681
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    • 2015
  • As a part of abating the formaldehyde emission of amino resin-bonded wood-based composite panels, this study was conducted to investigate hydrolytic stability of urea-melamine-formaldehyde (UMF) resin depending on various hydrolysis conditions and hardener types. Commercial UMF resin was cured and ground into a powdered form, and then hydrolyzed with hydrochloric acid. After the acid hydrolysis, the concentration of liberated formaldehyde in the hydrolyzed solution and mass loss of the cured UMF resins were determined to compare their hydrolytic stability. The hydrolysis of cured UMF resin increased with an increase in the acid concentration, time, and temperature and with a decrease in the smaller particle size. An optimum hydrolysis condition for the cured UMF resins was determined as $50^{\circ}C$, 90 minutes, 1.0 M hydrochloric acid and $250{\mu}m$ particle size. Hydrolysis of the UMF resin cured with different hardener types showed different degrees of the hydrolytic stability of cured UMF resins with a descending order of aluminum sulfate, ammonium chloride, and ammonium sulfate. The hydrolytic stability also decreased as the addition level of ammonium chloride increased. These results indicated that hardener types and level also had an impact on the hydrolytic stability of cured UMF resins.

Abrasive Wear of Hybrid Metal Matrix Composites for High Wear Resistance (고 내마모성 혼합 금속복합재료의 연삭마모)

  • 송정일
    • Composites Research
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    • v.12 no.5
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    • pp.12-22
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    • 1999
  • Aluminum based metal matrix composites(MMCs) are well known for their high specific strength, stiffness and hardness. They are gaining further importance because of their high wear resistance. In this study wear behavior of $Al/Al_2O_3/C$ hybrid MMCs fabricated by squeeze infiltration method was characterized by the abrasive wear test under various sliding speeds at room and high temperature. Wear resistance of MMCs was improved due to the presence of reinforcements at high sliding speed. Especially wear resistance of carbon hybrid MMCs was superior to other materials because of its solid lubrication of carbon. The friction coefficient of MMCs was not affected by the sliding speed.

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Surface Treatment of Carbon Fiber by Hydrogen Sulfide (탄소섬유 표면의 H2S 처리에 관한 연구)

  • Shin, Kyoung-Han;Han, Jeong-Ryeon
    • Applied Chemistry for Engineering
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    • v.1 no.2
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    • pp.176-181
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    • 1990
  • For the purpose of the improvement of interfacial shear strength in carbon fiber/aluminum matrix composite material, polyacrylonitrile-based carbon fibers were surface treated by hydrogen sulfide gas continuously between 400 and $600^{\circ}C$. Surface treated carbon fibers were analysed by scanning electron microscope. The existence of sulfur compound on treated carbon fiber surfaces was confirmed, and carbon and oxygen contents of the fiber surfaces were examined by X-ray photoelectron spectroscopy. Optimum treating temperature for the adsorption of sulfur on the carbon fiber surface was $500^{\circ}C$. Sulfur compounds on the carbon fiber surfaces form the structures of disulfide, $(S)_n$ and thiophene. The decrease in the tensile strength of the carbon fibers was observed less than about 5%.

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Damage state evaluation of experimental and simulated bolted joints using chaotic ultrasonic waves

  • Fasel, T.R.;Kennel, M.B.;Todd, M.D.;Clayton, E.H.;Park, G.
    • Smart Structures and Systems
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    • v.5 no.4
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    • pp.329-344
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    • 2009
  • Ultrasonic chaotic excitations combined with sensor prediction algorithms have shown the ability to identify incipient damage (loss of preload) in a bolted joint. In this study we examine a physical experiment on a single-bolt aluminum lap joint as well as a three-dimensional physics-based simulation designed to model the behavior of guided ultrasonic waves through a similarly configured joint. A multiple bolt frame structure is also experimentally examined. In the physical experiment each signal is imparted to the structure through a macro-fiber composite (MFC) patch on one side of the lap joint and sensed using an equivalent MFC patch on the opposite side of the joint. The model applies the waveform via direct nodal displacement and 'senses' the resulting displacement using an average of the nodal strain over an area equivalent to the MFC patch. A novel statistical classification feature is developed from information theory concepts of cross-prediction and interdependence. This damage detection algorithm is used to evaluate multiple damage levels and locations.

Elasticity and Conduction analysis of multi-Phase, Misoriented Metal matrix Composites (방향분포를 가진 다상 금속복합재료의 탄성 및 전도해석에 관한 연구)

  • 정현조
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.9
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    • pp.2181-2193
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    • 1995
  • The effective elasticity and conduction of composite materials containing arbitrarily oriented multiple phases has been analyzed using the concept of orientation-dependent average fields and concentration factors. The analysis provided closed form expressions for the effective stiffnesses and conductivities. Under the prescribed boundary conditions, the concentration factors were evaluated by the equivalent inclusion principle, through which the interaction between various phases is approximated by the Mori-Tanaka mean-field approximation. SiC particulate(SiC$_{p}$) reinforce aluminum(Al) matrix composites were fabricated and their elastic constants and electrical conductivities were measured together with a careful study of their microstructure. The measured properties showed a systematic anisotropy and this behavior could be attributed to the preferred orientation of SiC$_{p}$. The theoretical model developed was applied to the computation of the anisotropic properties of these composites. Both two-phase and three-phase composites were considered based on the microstructural information. The SiC$_{p}$ was modeled as an ellipsoid with planar random orientation distribution in the extruded Al/SiC$_{p}$ composites. The effect of extraneous phase such as intermetallic compounds was also investigated.tigated.

Surface Coating and Electrochemical Properties of LiNi0.8Co0.15Al0.05O2 Polyaniline Composites as an Electrode for Li-ion Batteries

  • Chung, Young-Min;Ryu, Kwang-Sun
    • Bulletin of the Korean Chemical Society
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    • v.30 no.8
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    • pp.1733-1737
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    • 2009
  • A new cathode material based on Li$Ni_{0.8}Co_{0.15}Al_{0.05}O_2$ (LNCA)/polyaniline (Pani) composite was prepared by in situ self-stabilized dispersion polymerization in the presence of LNCA. The materials were characterized by fourier transform infrared spectroscopy (FT-IR), ultraviolet-visible spectroscopy (UV-Vis), X-ray diffraction (XRD), and scanning electron microscopy (SEM). Electrochemical properties including galvanostatic charge-discharge ability, cyclic voltammetry (CV), capacity, cycling performance, and AC impedance were measured. The synthesized LNCA/Pani had a similar particle size to LNCA and exhibited good electrochemical properties at a high C rate. Pani (the emeraldine salt form) interacts with metal-oxide particles to generate good connectivity. This material shows good reversibility for Li insertion in discharge cycles when used as the electrode of lithium ion batteries. Therefore, the Pani coating is beneficial for stabilizing the structure and reducing the resistance of the LNCA. In particular, the LNCA/Pani material has advantageous electrochemical properties.

An intelligent health monitoring method for processing data collected from the sensor network of structure

  • Ghiasi, Ramin;Ghasemi, Mohammad Reza
    • Steel and Composite Structures
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    • v.29 no.6
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    • pp.703-716
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    • 2018
  • Rapid detection of damages in civil engineering structures, in order to assess their possible disorders and as a result produce competent decision making, are crucial to ensure their health and ultimately enhance the level of public safety. In traditional intelligent health monitoring methods, the features are manually extracted depending on prior knowledge and diagnostic expertise. Inspired by the idea of unsupervised feature learning that uses artificial intelligence techniques to learn features from raw data, a two-stage learning method is proposed here for intelligent health monitoring of civil engineering structures. In the first stage, $Nystr{\ddot{o}}m$ method is used for automatic feature extraction from structural vibration signals. In the second stage, Moving Kernel Principal Component Analysis (MKPCA) is employed to classify the health conditions based on the extracted features. In this paper, KPCA has been implemented in a new form as Moving KPCA for effectively segmenting large data and for determining the changes, as data are continuously collected. Numerical results revealed that the proposed health monitoring system has a satisfactory performance for detecting the damage scenarios of a three-story frame aluminum structure. Furthermore, the enhanced version of KPCA methods exhibited a significant improvement in sensitivity, accuracy, and effectiveness over conventional methods.