• Title/Summary/Keyword: Alloying

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Sintering and Heat Treatment Characteristics of Al-Cu-Mg Powder Metallurgy Alloy for Lightweight Automotive Parts (자동차 경량 부품 제조를 위한 Al-Cu-Mg 분말 합금의 소결 및 열처리 특성)

  • Ahn, Byungmin
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.23 no.2
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    • pp.152-156
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    • 2014
  • Lightweight materials such as aluminum and magnesium have recently received much attention in the automotive industries because of environmental and fuel-efficiency concerns. Using the powder metallurgy (PM) process for these materials creates significant opportunities for the cost-effective manufacture of lightweight automotive parts. In the present study, an Al-Cu-Mg alloy was fabricated using conventional PM processes. Primarily, the effects of the alloying elements on the sintering characteristics and mechanical behavior after heat treatment were investigated. A microstructural analysis was performed using an optical microscope and a scanning electron microscope to investigate the behavior of liquid phase sintering, including the formation of precipitates. The dependence of the mechanical behavior on the alloying elements was evaluated based on the transverse rupture strength.

Assessment of mechanical Properties of Thixotropic Al-Si Materials in Semi-Solid Forming Process (반용융 성형공정에서 Thixotropic Al-Si 소재의 기계적 성질 평가)

  • 허재찬
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2000.04a
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    • pp.56-62
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    • 2000
  • Semi-solid forming process has some advantages such as successful manufacturing of high quality components with less inner defects suitable for less machining high productivity and energy-saving effect. the thixotropic behavior(solid-like in the unperturbed state and liquid-like during shearing) has been the basis for the semi-solid forming process. The main focus of this article is the investigation of the effect of T6 heat treatment and alloying elements on the mechanical properties in the semi-solid formed products using thixotropic hypoeutectic (A357 and ALTHIX 86S) and hypereutectic(A390) materials. The new methods to produce semi-solid formed components with high quality are also proposed and discussed in terms of a die design and the development of a lubricant.

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Synthesis and Microstructural Characterization of Cu-C Composite Metal Powder by Mechanical Alloying (기계적 합금화 방법에 의한 Cu-C계 복합금속분말의 제조 및 미세구조 제어 특성)

  • 이광민
    • Journal of Powder Materials
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    • v.4 no.1
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    • pp.42-47
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    • 1997
  • It was investigated whether mechanical alloying (MA) processing could be more effective to the formation of metallic composite powder in Cu-C system. Elemental powder mixtures of Cu-70vo1.%C were mechanically alloyed with an attritor in an argon atmosphere and microstructural evolution was examined by X-ray diffraction analysis, scanning electron microscopy and transmission electron microscopy. It has been found that even with the high volume fraction of immiscible graphite in Cu-C system, the refinement with a few ten nanometer size as well as the highly uniform distribution of copper phases have been achieved by the MA processing.

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Determination of Carbon Equivalent Equation by Using Neural Network for Roll Force Prediction in hot Strip Mill (신경망을 이용한 열간 압연하중 예측용 탄소당량식의 개발)

  • 김필호;문영훈;이준정
    • Transactions of Materials Processing
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    • v.6 no.6
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    • pp.482-488
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    • 1997
  • New carbon equivalent equation for the better prediction for the better prediction of roll force in a continuous hot strip mill has been formulated by applying a neural network method. In predicting roll force of steel strip, carbon equivalent equation which normalize the effects of various alloying elements by a carbon equivalent content is very critical for the accurate prediction of roll force. To overcome the complex relationships between alloying elements and operational variables such as temperature, strain, strain rate and so forth, a neural network method which is effective for multi-variable analysis was adopted in the present work as a tool to determine a proper carbon equivalent equation. The application of newly formulated carbon equivalent equation has increased prediction accuracy of roll force significantly and the effectiveness of neural network method is well confirmed in this study.

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Prediction of Jominy Curve using Artificial Neural Network (인공 신경망 모델을 활용한 조미니 곡선 예측)

  • Lee, Woonjae;Lee, Seok-Jae
    • Journal of the Korean Society for Heat Treatment
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    • v.31 no.1
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    • pp.1-5
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    • 2018
  • This work demonstrated the application of an artificial neural network model for predicting the Jominy hardness curve by considering 13 alloying elements in low alloy steels. End-quench Jominy tests were carried out according to ASTM A255 standard method for 1197 samples. The hardness values of Jominy sample were measured at different points from the quenched end. The developed artificial neural network model predicted the Jominy curve with high accuracy ($R^2=0.9969$ for training and $R^2=0.9956$ for verification). In addition, the model was used to investigate the average sensitivity of input variables to hardness change.

Shape and Chemical Composition of Laser Surface Alloyed Layer under Moving Laser Source (공정변수에 따른 레이저표면합금층의 형상 및 성분변화에 관한 연구)

  • 최정영;이창희
    • Laser Solutions
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    • v.2 no.2
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    • pp.8-17
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    • 1999
  • This study includes a basic feature of laser surface alloying for enhancing the surface properties of materials. Effects of laser processing parameters such as beam power, beam size, scanning speed on the shape and composition of alloyed layer was simulated in case of moving beam conditions (2-dimensional numerical methods). Simulated results were compared with experiments, in which the plasma coating of 80% Ni + 20% Cr deposited on the SS41 substrate was remelted with CO2 laser with Gaussian energy distribution. Simulation and experiments revealed that the shape (dimension)and composition of laser alloyed layer were strongly dependent upon the process parameters, especially interaction time (travel speed) as compared to beam diameter, beam power and absorptivity. The shape and composition of alloyed layervaried more or less exponentially with parameters.

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Development of Fe-12%Cr Mechanical-Alloyed Nano-Sized ODS Heat-Resistant Ferritic Alloys

  • 김익수;최병영
    • Transactions of Materials Processing
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    • v.8 no.3
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    • pp.265-265
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    • 1999
  • The development of mechanical alloying (MA)-oxide dispersion strengthened (ODS) heat-resistant ferritic alloys of Fe-12%Cr with W, Ti and Y₂O₃additions were carried out. Fe-12%Cr alloys with 3%W, 0.4%Ti and 0.25% Y₂O₃additions showed a much finer and more uniform dispersion of oxide particles among the alloy system studied. Nano-sized oxides dispersed in the alloys suppress the grain growth during annealing at a high temperature and resulted in the remarkable improvement of creep strength. The oxide phase was identified as a complex oxide type of Y-Ti-O.

The Effect of Small Additions of Zr, Cr, Mg, Al, and Si on the Oxidation of 6:4 Brass

  • 이동복;문재진
    • Transactions of Materials Processing
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    • v.8 no.3
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    • pp.327-327
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    • 1999
  • The oxidation behavior of 60%Cu-40%Zn brass haying small amounts of Zr, Cr, Mg, Al, and Si was studied between 873 and 1043 K in air. The alloying element of Mg was harmful, while other alloying elements were beneficial to oxidation resistance. Particularly, the simultaneous addition of Al and Si decreased the oxidation rate drastically. During oxidation, Zr formed ZrO₂, Cr formed CuCr₂O₄, Mg formed MgO, Al formed A1₂CuO₄, and Si formed amorphous SiO₂. These oxides were incorporated in the oxide scale composed predominantly of ZnO. The oxide scales formed on all the tested alloyswere prone to cracking, wrinkling, and spallation.