• Title/Summary/Keyword: Metallurgical modeling

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Prediction of removal percentage and adsorption capacity of activated red mud for removal of cyanide by artificial neural network

  • Deihimi, Nazanin;Irannajad, Mehdi;Rezai, Bahram
    • Geosystem Engineering
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    • v.21 no.5
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    • pp.273-281
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    • 2018
  • In this study, the activated red mud was used as a new and appropriate adsorbent for the removal of ferrocyanide and ferricyanide from aqueous solution. Predicting the removal percentage and adsorption capacity of ferro-ferricyanide by activated red mud during the adsorption process is necessary which has been done by modeling and simulation. The artificial neural network (ANN) was used to develop new models for the predictions. A back propagation algorithm model was trained to develop a predictive model. The effective variables including pH, absorbent amount, absorbent type, ionic strength, stirring rate, time, adsorbate type, and adsorbate dosage were considered as inputs of the models. The correlation coefficient value ($R^2$) and root mean square error (RMSE) values of the testing data for the removal percentage and adsorption capacity using ANN models were 0.8560, 12.5667, 0.9329, and 10.8117, respectively. The results showed that the proposed ANN models can be used to predict the removal percentage and adsorption capacity of activated red mud for the removal of ferrocyanide and ferricyanide with reasonable error.

Prediction of the Behavior of dynamic Recrystallization in Inconel 718 during Hot Forging using Finite Element Method (유한요소법을 이용한 Inconel 718의 열간단조공정시 동적재결정거동 예측)

  • Choi, Min-Shik;Kang, Beom-Soo;Yum, Jong-Taek;Park, Noh-Kwang
    • Transactions of Materials Processing
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    • v.7 no.3
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    • pp.197-206
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    • 1998
  • This paper presents the prediction of dynamic recrystallization behavior during hot forging of Inconel 718. Another experiment of pancake forging was also carried out to examine the recrystallization ration dynamically recrystallizaed grain size, and grain growth in the forging. In experiments cylindrical billets were forged by two operations with variations of forging temperature, reduction ration of deformation. and preheating process at each forging step. Also the finite element program, developed here for the prediction using the metallurgical models was used for the analysis of to Inconel 718 upsetting and the results were compared with experimental ones.

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Modeling of Microstructural Evolution in Squeeze Casting of an Al-4.5wt%Cu Alloy (용탕단조시 Al-4.5%Cu합금의 조직예측)

  • Cho, In-Sung;Hong, Chun-Pyo;Lee, Ho-In
    • Journal of Korea Foundry Society
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    • v.16 no.6
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    • pp.550-555
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    • 1996
  • A stochastic model, based on the coupling of the finite volume(FV) method for macroscopic heat flow calculation and a two-dimensional cellular automaton(CA) model for treating microstructural evolution was applied-for the prediction of microstructural evolution in squeeze casting. The interfacial heat transfer coefficient at the casting/die interface was evaluated as a function of time using an inverse problem method in order to provide a quantitative simulation of solidification sequences under high pressure. The effects of casting process variables on the formation of solidification grain structures and on the columnar to equiaxed transition of an Al-4.5wt%Cu alloy in squeeze casting were investigated. The calculated solidification grain structures were in good agreement with those obtained experimentally.

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A Study on the 2-D Melt Fluid Flow Analysis by SMAC Method (SMAC법을 이용한 2차원 탕류해석에 관한 연구)

  • Choi, Jeong-Kil;Kim, Seoung-Bin;Hong, Chun-Pyo
    • Journal of Korea Foundry Society
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    • v.12 no.1
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    • pp.40-50
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    • 1992
  • A computer simulation of mold filling has been performed in order to analyze the fluid flow pattern in a mold cavity since casting defects such as cold shut formation, entrapment of air or gas, and inclusions are closely related to the fluid flow phenomena. The flow of molten metal entering the mold cavity with free surface has been modeled by SMAC(Simplified Marker and Cell) method. Two dimensional analysis was carried out on plate shape castings with two types of gate system. The calculation results were compared with those of water modeling experiments and showed relatively good agreement.

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A Study on the Prediction Modeling of Phase Transformation in the CGHAZ of Structural Steel Weld (구조용강 용접부 CGHAZ의 상변태 예측 Modeling에 관한 연구)

  • 조일영;이경종;이창희
    • Journal of Welding and Joining
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    • v.16 no.3
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    • pp.74-84
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    • 1998
  • The microstructures of the HAZ (Heat Affected Zone) are generally different from the base metal due to rapid thermal cycle during welding process. Particuraly, CGHAZ (Coarsened Grain Heat Affected Zone) near the fusion line is the most concerned region in which many metallurgical and mechanical discontinuities have been normally generated. A computer program by the numerical formularization of phase transformation during cooling with different rates was developed to generate the CCT diagram, and to predict microstructural (phase) changes in the CGHAZ. In order to verify simulated results, isothermal and continuous cooling transformation experiments were conducted. The simulated and experimental results showed that the developed computer model could successfully predict the room temperature microstructural changes (changes in volume fraction of phases) under various welding conditions (heat input & cooling rate $(Δt_{8/5})$).

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A refined HSDT for bending and dynamic analysis of FGM plates

  • Zaoui, Fatima Zohra;Tounsi, Abdelouahed;Ouinas, Djamel;Olay, Jaime A. Vina
    • Structural Engineering and Mechanics
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    • v.74 no.1
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    • pp.105-119
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    • 2020
  • In this work, a novel higher-order shear deformation theory (HSDT) for static and free vibration analysis of functionally graded (FG) plates is proposed. Unlike the conventional HSDTs, the proposed theory has a novel displacement field which includes undetermined integral terms and contains fewer unknowns. Equations of motion are obtained by using Hamilton's principle. Analytical solutions for the bending and dynamic investigation are determined for simply supported FG plates. The computed results are compared with 3D and quasi-3D solutions and those provided by other plate theories. Numerical results demonstrate that the proposed HSDT can achieve the same accuracy of the conventional HSDTs which have more number of variables.

Lab scale electrochemical codeposition experiments for comparison to computational predictions

  • Lafreniere, Philip;Zhang, Chao;Simpson, Michael;Blandford, Edward D.
    • Nuclear Engineering and Technology
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    • v.52 no.9
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    • pp.2025-2033
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    • 2020
  • Signature-based safeguards (SBS) is being developed to assist tradition nuclear material accountancy methods in tracking material in pyroprocessing facilities. SBS involves identifying off-normal scenarios that would result in improper movement of material in a pyroprocessing facilities and determining associated sensor response signatures. SBS investigations are undertaken in the computational space utilizing an electrochemical transport code known as enhanced REFIN with anodic dissolution (ERAD) to calculate the affect of off-normal conditions in the electrorefiner (ER) on material movement. Work is undertaken to experimentally validate the predictions and assumptions made by ERAD for off-normal occurrences. These experiments were undertaken on a benchtop scale and involved operating an electrochemical cell at 10 separate current densities for constant current operations to deposit U and Gd at a W cathode. These experiments were then modeled using ERAD to compare calculated predictions versus analytical experimental results it was found. It was discovered both the experimental and calculated results reflect a trend of increased codeposition of U and Gd with increasing current density. ERAD was thus demonstrated to be useful for predicting trends from anomalous operation but will require further optimization to be utilized as a quantitative design tool.

A Study on the Heat and Mass Balance of Smelting Reduction Process for Manganese Nodules (망간단괴 용융환원 제련공정의 물질 및 열수지 모델링)

  • Cho, Moon Kyung;Park, Kyung Ho;Min, Dong Joon
    • Korean Journal of Metals and Materials
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    • v.47 no.5
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    • pp.304-310
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    • 2009
  • Recently, manganese nodule has been focused on alternative resources because of its high grade of noble metallic elements such as Co, Ni, and Cu etc. From the viewpoint of an optimization the operating variables for energy efficiency of smelting reduction process, thermodynamic model for smelting reduction process of Manganese nodule was developed by using energy and material balance concept. This model provided that specific consumption of pure oxygen and coke was strongly depended on post combustion ratio (PCR) and heat transfer efficiency (HTE). The dressing and dehydrating process of low grade manganese can be proposed an essential process to minimize the specific energy consumption with decreasing slag volume. The effect of electricity coal base smelting reduction process was also discussed from the energy optimizing point of view.

FIND THE ROOT CAUSE OF WELDING-INDUCED DISTORTION BY NUMERICAL MODELING METHOD

  • Tsai, Chon L.
    • Proceedings of the KWS Conference
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    • 2002.10a
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    • pp.681-687
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    • 2002
  • The cumulative, shrinkage plastic strains and their distributions in the weld joint after completion of the welding process determine welding-induced distortion. Although the weldment undergoes many complex physical and metallurgical changes during welding, only the material plastic temperature range and its cooling history below this temperature range influence the [mal state of the cumulative shrinkage plastic strains. In addition, for structural welds, these plastic strains are uniform, except in the arc start and stop regions, along the weld. Therefore, the plastic strain-based "inherent shrinkage model" is effective and accurate to describe welding-induced distortion. This paper presents the theoretical background and numerical verification of this root cause.

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