Relevant bibliographies by topics / Metal castings Solidification

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Metal castings Solidification'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Metal castings Solidification"

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Zhengwuvi, L. B., and A. O. Akii Ibhadode. "Risering of a Four-Cavity Die Production Mould by Convectional Method." Advanced Materials Research 62-64 (February 2009): 664–70. http://dx.doi.org/10.4028/www.scientific.net/amr.62-64.664.

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This paper demonstrates the possibility of developing skill in producing sound metal casting from a four-cavity die production mould by assessing the riser design criteria and the castings. The assessment takes into account the location of the casting’s hot spots, casting modulus, liquid metal mass in the risers and the principle of directional solidification. The mould flask is oriented in such a way that a riser is placed directly on top of the casting’s hot spots for proper feeding during solidification. The assessment result of casting modulus shows that the feeder modulus Mf = 5.85 x 10-3 M and the casting hot spot modulus Mh = 1.88 x 10-3 M .The assessment result of castings solidification time shows that the castings solidify within 12 seconds while the feeders solidify within 30 seconds. From the assessment results it is observed that the risers hold liquid metal, feed the castings to full solidification and solidify later than the castings which they feed. Examinations at the cross sections of the finished castings revealed the absence of void formation which is a clear indication of effective and functional risers. Thus, the risers have achieved the desired requirement.
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Prikhod’ko, O. G., V. B. Deev, E. S. Prusov, and A. I. Kutsenko. "Influence of thermophysical characteristics of alloy and mold material on castings solidification rate." Izvestiya. Ferrous Metallurgy 63, no. 5 (July 1, 2020): 327–34. http://dx.doi.org/10.17073/0368-0797-2020-5-327-334.

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Obtaining castings of given quality is the main task of foundry production. One of the stages of casting technology is solidification of melt in the mold. When studying the process of castings solidification, it is necessary to fully take into account all the features of heat transfer between casting and mold. Influence of various thermophysical parameters of alloy and mold material on casting formation is considered. In the analysis, original mathematical models were used to calculate the coefficient and time of complete solidification of castings in sand-clay and metal forms. These models take into account geometric parameters of casting, main thermophysical parameters of casting metal and mold material, heat transfer conditions at crystallization front, on casting-mold boundary and on the mold surface. Analysis of dependence of time and rate of castings solidification on thermophysical parameters (heat capacity, density, heat conductivity of casting material and mold, specific heat of metal crystallization) was carried out. Storage capacity and process of heat storage are quite fully characterized by the value of heat storage coefficient. This coefficient practically determines the rate of heat loss by the casting which plays a decisive role in its properties forming. Therefore, this parameter is selected for a comprehensive analysis of thermal processes occurring in casting and mold. The influence of thickness and thermal conductivity of chill paint layer on solidification of castings in metal molds is considered. The basic calculation formulas and initial data are presented. Calculations were carried out for castings of the following types: endless plate, endless cylinder, ball. The results of simulation of solidification process parameters are presented in graphic form. Using various alloys as an example, it has been shown by calculation that when changing composition and properties of mold material, it is possible to change time and speed of alloys solidification in a wide range. In this case, processes of forming the structure and properties of castings are controlled.
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Rvachev, V. L., T. I. Sheiko, V. Shapiro, and J. J. Uicker. "Implicit Function Modeling of Solidification in Metal Castings." Journal of Mechanical Design 119, no. 4 (December 1, 1997): 466–73. http://dx.doi.org/10.1115/1.2826391.

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Solidification of metal castings can be modeled by an implicit real-valued function whose behavior is determined by physical parameters prescribed on the boundary of a casting. We show how to construct such functions using theory of R-functions for two-dimensional castings represented by their boundaries. The parameterized form of the constructed functions is convenient for studying, controlling, and optimizing their behavior in terms of the physical parameters specified on the boundary of the casting. The proposed approach can also be used for modeling multiple cavities in a same sand mold, generalizes to three-dimensional castings, and is applicable to other physical phenomena that may be suitable for analysis based on empirical knowledge.
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Fecko, D., I. Vasková, Ľ. Eperješi, and M. Závodný. "Usage of Connor Inlets to Eliminate Shrinkage." Archives of Foundry Engineering 12, no. 3 (September 1, 2012): 25–28. http://dx.doi.org/10.2478/v10266-012-0076-0.

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Abstract The demand for castings of high quality and sound work is nowadays very high. The production of sound castings without foundry errors is the big issue in modern foundries. Foundry simulation software can do a lot to help improve the disposition of castings, gating system and feeder system, and assure good filling and solidification conditions, and also produce sound casting without the need of the old method of "try and error". One can easily change a lot of parameters for filling and solidification, and create the best proposal for production. Connor inlets have two functions. One is that it serves as an ingate, through which molten metal passes and comes into the mould cavity. The second function is that it serves as a feeder and substitutes the metal contracted during solidification and cooling of the castings. It can also save quite a lot of metal in comparison to classic feeders.
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Maekawa, Tatsuya, Mitsuaki Furui, Susumu Ikeno, Tomoyasu Yamaguchi, and Seiji Saikawa. "Microstructure Observation of AM60 Magnesium Alloy Solidified by Rapidly Quench." Advanced Materials Research 409 (November 2011): 339–42. http://dx.doi.org/10.4028/www.scientific.net/amr.409.339.

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In solidification theory, with a slow cooling rate such as sand mold casting, it is easy to segregate the solute aluminum near the grain boundary of primary α-Mg phase under the solidification in Mg-Al system alloys. Thus, volume fraction of none-equilibrium crystallized β-Mg17Al12 phase showed the higher value compared with metal mold casting with faster cooling rate. However, in our microstructure observation results, the volume fraction of β phase in permanent mold castings was larger than that of sand mold castings. In the present study, these contradictory behavior was investigated by observation of as-solidified microstructure obtained from rapid cooling castings at the just below the solidus temperature of 723, 773 and 823K.
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Madhan Kumar, P., Elizabeth Jacob, S. Savithri, and G. S. Suneeth. "Quantitative Feeder Design for Metal Castings." Materials Science Forum 830-831 (September 2015): 49–52. http://dx.doi.org/10.4028/www.scientific.net/msf.830-831.49.

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Casting simulation packages are used to check a design for its castability. A better starting design should need fewer simulation cycles to arrive at a defect-free component thus cutting computation and manpower costs. Quantitative design of the feeding system is done by an analysis of the solidification pattern of the 3D model of the cast component. A clustering algorithm uses the solidification time/temperature data from the simulation to divide the casting into 3D feeding sections. The sections are created by following hotspots surrounded by areas of decreasing solidification time. Feeders are built by the feeder design module of AutoCAST casting design software. The initial simulation as well as the efficacy of the rigging is tested through the advanced simulation module FLOW+ of AutoCAST X. An industrial case study illustrates the software pipeline in a virtual foundry trial.
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Suresh, N., and P. Chandrasekar. "Microstructure and Mechanical Properties of Castings under Vibration Techniques - A Review." Applied Mechanics and Materials 550 (May 2014): 71–80. http://dx.doi.org/10.4028/www.scientific.net/amm.550.71.

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The challenging problems for designers and engineers in the material science are to enhance the quality of the castings. The several numbers of methods using external forces have been applied to introduce fluid flow during solidification of molten metal in casting process. These include mechanical, electromagnetic and ultrasonic vibration. Many technical journals describe the improvement in mechanical properties of castings under the vibration during solidification. In this paper, an attempt has been made to review the casting process to refine the microstructure of cast product. The awareness gain of these processes and application of the procedures offer the scope for better cost savings in design and manufacturing of cast products.
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Domeij, Björn, and Attila Diószegi. "Solidification Chronology of the Metal Matrix and a Study of Conditions for Micropore Formation in Cast Irons Using EPMA and FTA." Materials Science Forum 925 (June 2018): 436–43. http://dx.doi.org/10.4028/www.scientific.net/msf.925.436.

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Microsegregation is intimately coupled with solidification, the development of microstructure, and involved in the formation of various casting defects. This paper demonstrates how the local composition of the metal matrix of graphitic cast irons, measured using quantitative electron microprobe analysis, can be used to determine its solidification chronology. The method is applied in combination with Fourier thermal analysis to investigate the formation of micropores in cast irons with varying proportions of compacted and spheroidal graphite produced by remelting. The results indicate that micropores formed at mass fractions of solid between 0.77 and 0.91, which corresponded to a stage of solidification when the temperature decline of the castings was large and increasing. In 4 out of the 5 castings, pores appear to have formed soon after the rate of solidification and heat dissipation had reached their maximum and were decreasing. While the freezing point depression due to build-up of microsegregation and the transition from compacted to spheroidal type growth of the eutectic both influencing solidification kinetics and the temperature evolution of the casting, the results did not indicate a clear relation to the observed late deceleration of solidification.
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Teng, Hai Tao, Bai Qing Xiong, Yon Gan Zhang, and Ting Ju Li. "Investigation on Sub-Rapid Solidification Behavior of Semi-Solid Magnesium Alloy Metal." Advanced Materials Research 320 (August 2011): 156–62. http://dx.doi.org/10.4028/www.scientific.net/amr.320.156.

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In order to investigate sub-rapid solidification behavior of semi-solid magnesium alloy metal, a novel semi-solid processing technique, called new vacuum suction casting (NVSC), is used to manufacture thin castings of AZ91D Mg-alloy directly from a liquid metal. The resulting microstructures of castings are characterized in detail and linked to the solidification behavior. In the microstructure of the sub-rapidly solidified SSM sheet, the “preexisting” primary solid particles, with the morphology of near-globules or rosettes, disperse in the homogeneous matrix consisting of fine near-equiaxed secondary α-Mg grains and fine precipitates of β-Mg17Al12 intermetallics. Owing to rapid solidification rate, the volume fraction of the β phase in the sub-rapidly solidified SSM sheets is much lower than that in the as-cast ingot. In addition, the content of alloying elements of Al and Zn was higher in the grain boundaries and the eutectic structure than that in the primary solid particles and in the second α-grains.
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Sturm, Jörg C., and Wilfried Schäfer. ""Cast Iron - A Predictable Material” 25 Years of Modeling the Manufacture, Structures and Properties of Cast Iron." Materials Science Forum 925 (June 2018): 451–64. http://dx.doi.org/10.4028/www.scientific.net/msf.925.451.

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During the last 25 years, casting process simulation has developed from predicting hot spots and solidification paths to an integral assessment and optimization tool for foundries for the entire manufacturing route of castings. Modeling cast irons has always been a special challenge due to the strong interdependency between the alloy composition, applied metallurgy and metal treatment with the solidification, phases and structures which form and the resulting properties of the material.
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Dissertations / Theses on the topic "Metal castings Solidification"

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Dewhirst, Brian A. "Castability Control in Metal Casting via Fluidity Measures: Application of Error Analysis to Variations in Fluidity Testing." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-121608-125755/.

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Thesis (Ph. D.)--Worcester Polytechnic Institute.
Keywords: castability; metal casting; error analysis; casting fluidity; a356; solidification processing; fluidity. Includes bibliographical references (leaves 85-90).
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Hong, Fangjun. "Droplet spreading, substrate remelting and variable thermal contact resistance in microcasting /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?MECH%202005%20HONG.

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Ajayi, Frederick Adegbola. "A transient multi-physics algorithm for solidification residual stress in metal components." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287951.

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Ahmad, Nadiah. "Riser Feeding Evaluation Method for Metal Castings Using Numerical Analysis." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1447845668.

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Moosbrugger, John C. "Numerical computation of metal/mold boundary heat flux in sand castings using a finite element enthalpy model." Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/16365.

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Kayikci, Ramazan. "Metal-mould contact and heat transfer during casting solidification." Thesis, University of Manchester, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681341.

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Kennedy, Andrew Richard. "The redistribution of reinforcements during the solidification processing of metal matrix composites." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307106.

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Moussa, Nadine. "Multi scale modelling and numerical simulation of metal foam manufacturing process via casting." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC021/document.

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L'objectif est d'élaborer un nouveau procédé de fabrication de mousses métalliques par voie de fonderie en modélisant l'infiltration et la solidification d'un métal liquide dans un milieu poreux. La modélisation est faite en deux étapes.Tout d'abord, à l'échelle locale un brin de la mousse métallique est considéré comme un tube capillaire et l'infiltration et solidification d'un métal liquide dans un moule cylindrique est étudiée. Deuxièmement,le modèle macroscopique de la solidification diffusive d'un métal liquide dans un milieu poreux est obtenu par prise de moyenne volumique. Le modèle local est codée dans un outil CFD opensource et trois études paramétriques ont été faites permettant la détermination des relations de la longueur et le temps d'infiltration en fonction de paramètres de fonctionnement. La modélisation de la solidification d’un métal liquide dans un milieu poreux est simplifié en considérant que le moule est complètement saturé par un métal liquide au repos,par suite la solidification se produit par diffusion pure (pas de convection). L'équilibre thermique local (LTE) est considéré entre les phases solide et liquide du métal tandis qu'un non équilibre thermique local (LTNE) est retenue entre la phase métallique et le moule. Les problèmes de fermeture associés ainsi que le problème macroscopique ont été résolus numériquement
The objective of this work is to elaborate a new manufacturing process of metal foams via casting by modelling the infiltration and solidification of liquid metal inside a porous medium.However, due to the complexity of this problem the study is divided into two steps. First, at local scale one strut of the metal foam is considered as a capillary tube and the infiltration and solidification of liquid metal inside a cylindrical mould is studied. Second, a macroscopic model of diffusive solidification is derived using the volume average method. The local model is coded in an open source CFD tool and three parametric studies were done where the relations between the infiltration length and time as function of the operating parameters are determined. The modelling of the solidification of liquid metal inside a porous medium is simplified by considering that the mould is fully saturated by liquid metal at rest, solidification occurs by pure diffusion. Local thermal equilibrium (LTE) is considered between the solid and liquid phases of the metal while local thermal non equilibrium (LTNE) is retained between the metallic mixture and the mould. The associated closure problems as well as the macroscopic problem were numerically solved
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Khalajzadeh, Vahid. "Modeling of shrinkage porosity defect formation during alloy solidification." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6155.

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Among all casting defects, shrinkage porosities could significantly reduce the strength of metal parts. As several critical components in aerospace and automotive industries are manufactured through casting processes, ensuring these parts are free of defects and are structurally sound is an important issue. This study investigates the formation of shrinkage-related defects in alloy solidification. To have a better understanding about the defect formation mechanisms, three sets of experimental studies were performed. In the first experiment, a real-time video radiography technique is used for the observation of pore nucleation and growth in a wedge-shaped A356 aluminum casting. An image-processing technique is developed to quantify the amount of through-thickness porosity observed in the real-time radiographic video. Experimental results reveal that the formation of shrinkage porosity in castings has two stages: 1-surface sink formation and 2- internal porosity evolution. The transition from surface sink to internal porosity is defined by a critical coherency limit of . In the second and third experimental sets, two Manganese-Steel (Mn-Steel) castings with different geometries are selected. Several thermocouples are placed at different locations in the sand molds and castings to capture the cooling of different parts during solidification. At the end of solidification, castings are sectioned to observe the porosity distributions on the cut surfaces. To develop alloys’ thermo-physical properties, MAGMAsoft (a casting simulation software package) is used for the thermal simulations. To assure that the thermal simulations are accurate, the properties are adjusted to get a good agreement between simulated and measured temperatures by thermocouples. Based on the knowledge obtained from the experimental observations, a mathematical model is developed for the prediction of shrinkage porosity in castings. The model, called “advanced feeding model”, includes 3D multi-phase continuity, momentum and pore growth rate equations which inputs the material properties and transient temperature fields, and outputs the feeding velocity, liquid pressure and porosity distributions in castings. To solve the model equations, a computational code with a finite-volume approach is developed for the flow calculations. To validate the model, predicted results are compared with the experimental data. The comparison results show that the advanced feeding model can accurately predict the occurrence of shrinkage porosity defects in metal castings. Finally, the model is optimized by performing several parametric studies on the model variables.
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Yamasaki, Márcio Iuji [UNESP]. "Fabricação e caracterização metalográfica e mecânica de tiras de ligas metálicas fundidas e tixolaminadas no estado semi-sólido de diferentes intervalos de solidificação." Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/94487.

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Made available in DSpace on 2014-06-11T19:27:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-09-03Bitstream added on 2014-06-13T18:31:04Z : No. of bitstreams: 1 yamasaki_mi_me_ilha.pdf: 16778400 bytes, checksum: 6afbdce5c51d7a7040bbcdba50a7949f (MD5)
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É apresentado um estudo experimental da laminação de tiras fundidas a partir do material semi-sólido obtido na calha de resfriamento que alimenta continuamente um laminador duo. Os cilindros do laminador estão posicionados horizontalmente e podem ser operados na velocidade de 0,25 m/s, 0,47 m/s, 0,73 m/s e 1,07 m/s. A velocidade de 0,25 m/s produziu uma tira de melhor qualidade. Ligas hipoeutéticas Pb/Sn (Pb–30%Sn, Pb-40%Sn, Pb-50%Sn) e próxima ao ponto eutético (Pb-63%Sn), respectivamente, com intervalo de solidificação de 75 °C, 56 °C, 31 °C e 6 °C de acordo com o diagrama de fases, foram utilizadas nos ensaios experimentais para obter tiras semi-sólidas fundidas e tixoconformadas para comparação. As diversas simulações usando as ligas de Pb/Sn têm revelado a importância do intervalo de solidificação e temperatura de vazamento da liga, da velocidade dos cilindros, da temperatura do bocal junto ao cilindro inferior, da superfície de acabamento dos cilindros e da geometria da panela intermediária (tundish), sobre a qualidade do produto final. A liga Pb-30%Sn com alto intervalo de solidificação em comparação com outras ligas testadas, apresentou maior dificuldade para ser tixolaminada. Isso ocorreu, porque as ligas de alto intervalo de solidificação tendem a formar trincas à quente no final da solidificação. Como resultado, uma pasta metálica plástica é difícil de formar. O caminho provável para obter uma tira semi-sólida fundida de boa qualidade neste caso, é aplicar uma inoculação que produz grãos finos antes do vazamento. O controle para a tixolaminação empregando a liga Sn-37%Pb com intervalo de solidificação menor, e elevada fluidez, é mais rigoroso para obter uma tira contínua. Conseqüentemente, foram utilizadas diferentes temperaturas de vazamento (260, 240 e 220 ºC) para controlar a fluidez e obter o tempo de contato...
This is an experimental study of cast strip rolling from semi-solid material employing a cooling slope which continuously feeds a rolling mill. The cylinders of the rolling mill are positioned horizontally and can be operated at speeds of 0.25 m/s, 0.47 m/s, 0.73 m/s and 1.07 m/s. The lower speed of 0,25 m/s produces a strip of better quality. Hypoeutectic Pb/Sn alloys (Pb-30%Sn, Pb-40%Sn, Pb-50%Sn) and near eutectic point alloys (Pb-63%Sn), with solidification intervals of 75°C, 56°C, 31°C and 6°C respectively, according to the phase diagram, were used in experimental tests to obtain cast semi-solid and thixorolled strips for comparison. Simulations highlighted the necessary control parameters required to obtain good quality of the strip. These were: control alloy solidification interval, pouring temperature, roll speeds, ceramic nozzle temperature at the lower roll, quality of the roll surface finishing and tundish geometry. The Pb-30%Sn alloy, which has a much higher solidification interval in comparison with the other alloys tested, was difficult to thixoroll. This is because alloys with a high solidification interval tend to form hot tears at the end of solidification, and prevent a plastic metallic mush from forming. The probable solution to obtaining a semi-solid fused strip of good quality with this material, is to apply an inoculation that produces fine grains just before the pouring. In contrast, the parameter control for thixorolling of the Sn-37%Pb alloy, with lesser solidification interval and elevated fluidity, needed to be rigorous to obtain a continuous strip. Consequently, several pouring temperatures (260, 240 and 220ºC) were used to vary the fluidity and obtain sufficient alloy-inferior cylinder contact time for complete solidification. The strips obtained by the twin and single roll processing, and conventional rolling were characterized... (Complete abstract click electronic access below)
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Books on the topic "Metal castings Solidification"

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Brian, Cantor, and O'Reilly Keyna, eds. Solidification and casting. Bristol [England]: Institute of Physics Pub., 2003.

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Kurz, W. Fundamentals of solidification. Aedermannsdorf, Switzerland: Trans Tech Publications, 1986.

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Kurz, W. Fundamentals of solidification. 3rd ed. Aedermannsdorf: Trans Tech, 1989.

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Kurz, W. Fundamentals of solidification. 4th ed. Uetikon-Zuerich, Switzerland: Trans Tech Publications, 1998.

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Ignaszak, Zenon. Właściwości termofizyczne materiałów formy w aspekcie sterowania procesem krzepnięcia odlewów. Poznań: Politechnika Poznańska, 1989.

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Automotive Materials Symposium (18th 1991 Michigan State University). Numerical simulation of casting solidification in automotive applications: Proceedings of the 18th Annual Automotive Materials Symposium sponsored by the Detroit Section of TMS ... symposium was held on May 1-2, 1991, at the Kellogg Center of the Michigan State University. Warrendale, Pa: Minerals, Metals & Materials Society, 1991.

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Shape Casting Symposium (4th 2011 San Diego, Calif.). Shape casting: 4th International Symposium, 2011, in honor of Prof. John T. Berry : proceedings of a symposium sponsored by the Aluminum Committee of the Light Metals Division and the Solidification Committee of the Materials Processing & Manufacturing Division of TMS (The minerals, Metals & Materials Society), held during the TMS 2011 Annual Meeting & Exhibition, San Diego, California, USA, February 27-March 3, 2011. Hoboken, N.J: John Wiley & Sons Inc. [for] TMS, 2011.

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Dargusch, M. S. (Matt S.), Keay, S. M. (Sue M.), Global Light Metals Alliance, Cooperative Research Centre for Alloy and Solidification Technology (Australia), and International Light Metals Technology Conference, eds. Light Metals Technology 2009: Selected peer reviewed papers from the 4th International Conference organized by the CAST CRC, on behalf of the Global Light Metals Alliance, held from 29 June -1st July 2009 on the Gold Coast, Queensland, Australia. Zurich, Switzerland: Trans Tech Publications, 2009.

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Principles of solidification: An introduction to modern casting and crystal growth concepts. New York: Springer Verlag, 2011.

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Conference on Modeling of Casting and Welding Processes. (4th 1988 Palm Coast, Fla.). Modeling and control of casting and welding processes IV: Proceedings of the Fourth International Conference on Modeling of Casting and Welding Processes, sponsored by the Engineering Foundation and co-sponsored by The Minerals, Metals & Materials Society, The American Society for Metals and the American Welding Society, held in Palm Coast, Florida April 17-22, 1988. Warrendale, PA: Minerals, Metals & Materials Society, 1988.

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Book chapters on the topic "Metal castings Solidification"

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Wu, M., J. Li, A. Kharicha, and A. Ludwig. "Using a Three-Phase Mixed Columnar-Equiaxed Solidification Model to Study Macrosegregation in Ingot Castings: Perspectives and Limitations." In Proceedings of the 2013 International Symposium on Liquid Metal Processing and Casting, 171–80. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118830857.ch26.

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Wu, M., J. Li, A. Kharicha, and A. Ludwig. "Using a Three-Phase Mixed Columnar-Equiaxed Solidification Model to Study Macrosegregation in Ingot Castings: Perspectives and Limitations." In Proceedings of the 2013 International Symposium on Liquid Metal Processing & Casting, 171–80. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-48102-9_26.

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Stefanescu, Doru Michael. "Solidification of Metal Matrix Composites." In Science and Engineering of Casting Solidification, 305–41. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15693-4_15.

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Flood, S. C., and J. D. Hunt. "A model of a casting." In Modelling the Flow and Solidification of Metals, 27–42. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3617-1_3.

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Martinez, G., M. Garnier, and F. Durand. "Stirring phenomena in centrifugal casting of pipes." In Modelling the Flow and Solidification of Metals, 225–39. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3617-1_14.

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Nikrityuk, P. A., K. Eckert, and R. Grundmann. "Numerical Study of the Influence of an Applied Electrical Potential on the Solidification of a Binary Metal Alloy." In Continuous Casting, 296–308. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/9783527607969.ch41.

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Fredriksson, Hasse. "On the Solidification of Metal Alloys during Microgravity Conditions." In Advances in the Science and Engineering of Casting Solidification, 9–13. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119093367.ch2.

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Fredriksson, Hasse. "On the Solidification of Metal Alloys during Microgravity Conditions." In Advances in the Science and Engineering of Casting Solidification, 9–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-48117-3_2.

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Smith, T. J., and D. B. Welbourn. "The integration of geometric modelling with finite element analysis for the computer-aided design of castings." In Modelling the Flow and Solidification of Metals, 139–60. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3617-1_9.

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Lebon, G. S. Bruno, Koulis Pericleous, Iakovos Tzanakis, and Dmitry Eskin. "A Model of Cavitation for the Treatment of a Moving Liquid Metal Volume." In Advances in the Science and Engineering of Casting Solidification, 23–30. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119093367.ch4.

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Conference papers on the topic "Metal castings Solidification"

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Woolley, Jonathan W., Michal Pohanka, and Keith A. Woodbury. "From Experimentation to Analysis: Considerations for Determination of the Metal/Mold Interfacial Heat Transfer Coefficient via Solution of the Inverse Heat Conduction Problem." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15710.

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Casting solidification simulation has been established as an effective tool used to improve the efficiency of the casting design process. Knowledge of the interfacial heat transfer coefficient at the metal/mold interface of metal castings is crucial to the simulation of casting solidification. The characterization of the heat transfer from metal to mold has been the focus of many researchers. The solution of the inverse method has been used to determine the interfacial heat flux and/or the interfacial heat transfer coefficient (IHTC) and has been applied to a variety of casting techniques and geometries. While the inverse method is a legitimate technique to determine the metal/mold interfacial heat transfer coefficient, there are a number of important issues to consider before applying the method to actual castings. The present work is a discussion of practical and important issues related to various common casting techniques that must be considered when collecting temperature measurements to be used in an inverse calculation and when developing a heat transfer model of the system.
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Felicelli, Sergio D., and David R. Poirier. "Modeling of Solidification and Filling of Thin-Section Castings." In ASME 2005 Summer Heat Transfer Conference collocated with the ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems. ASMEDC, 2005. http://dx.doi.org/10.1115/ht2005-72682.

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A finite element model for simulating dendritic solidification of multicomponent-alloy castings is used to study the filling and solidification of castings of thin cross section. The model solves the conservation equations of mass, momentum, energy, and alloy components and couples the solution with the thermodynamic of the multicomponent alloy through a phase diagram equation. The transport of mass and energy in the mushy zone is done considering the mushy zone as a porous medium of variable porosity. The same set of conservations equations are used for the liquid, solid and mushy zones, in which the volume fraction of liquid acts as the variable that makes the equations transition continuously from one zone to another (Felicelli et al. [1]). During filling, the model tracks the advancing front as the metal flows into the thin mold, and solidification is calculated as the metal loses energy by convection and radiation to the mold, including the dynamic calculation of view factors. The code supports two fluid models that emulate the flow behavior under equiaxed or columnar solidification. In the former case a slurry fluid model is used in which the viscosity is determined by the volume fraction of solid. In this slurry state, the solid and liquid move at the same velocity. For the case of columnar solidification, the solid is fixed and the liquid flows through a porous structure of dendrictic solid. The model development is based on the work by Felicelli et al. [2], to which several features were added, including a front-tracking technique (Gao [3]) and thermal radiation boundary conditions. Calculations for Ni and Al alloys were performed to illustrate the effect of several physical and operation parameters in the filling of a horizontal channel of thin thickness. A wide range of process parameters was tested in order to determine how much of the channel length could be filled before blockage of flow by solidification occurred. In a separate section, the effect of alloy concentration on the fluidity was studied using a Pb-Sn hypoeutectic system, and the importance that the dendrite breaking phenomenon can have on the results is shown. Conclusions about the parameters that most influence the filling process are presented, as well as recommendations on which experimental data are more critical in order to conduct a proper validation of this type of models.
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Sutaria, M., D. Joshi, M. Jagdishwar, and B. Ravi. "Automatic Optimization of Casting Feeders Using Feed-Paths Generated by VEM." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65074.

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Feeding or risering system of a casting significantly affects the internal quality as well as the yield of a casting. It is however, quite difficult to predict the effect of a particular set of feeder design parameters (such as location, shape and dimensions) on casting quality. Hence feeding system design is iterative in practice, involving tooling modification, foundry trials and inspection. Computer simulation can save material and production resources involved in foundry trials, but requires a higher level of human effort for preparing the inputs and interpreting the results properly. In this work, we have evolved a new approach to evaluate and optimize casting feeding system design using feed-paths. The feed-paths are computed by Vector Element Method (VEM). It is possible to automatically track the direction of the feed metal flow from a given point, and to check if a feeder is effective. The convergence of the feed-paths provides a clear indication of directional solidification and location of shrinkage defects. Further, this takes a fraction of the time taken by FEM-based simulation, making it more useful for practical application. The proposed approach is demonstrated by automatically optimizing the feeder size for a benchmark casting, and validated by pouring and sectioning Al-alloy castings made in sand molds.
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Woolley, Jonathan W., and Keith A. Woodbury. "Aluminum Sand Casting Interfacial Heat Flux Estimation Based on Corrected Temperature Measurements." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68027.

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The estimation of the heat flux at the interface between a solidifying metal casting and mold is a frequently investigated topic. Accurate knowledge of the interfacial heat transfer can be used in solidification simulation to reduce the time and cost of the casting design process. A common and well-established approach to estimating the interfacial heat flux is the solution of the inverse heat conduction problem. Temperature measurements from thermocouples imbedded in the sand mold are used as inputs to the inverse solver. It is well-documented that imbedded thermocouples which are subjected to high temperature gradients will yield biased temperature measurements. By accounting for the sensor dynamics with an appropriate model, the measured temperatures can be corrected to mitigate the effect of the bias error in the estimation of the heat flux. In a previous work, experimentally measured temperatures were obtained from aluminum sand castings and the interfacial heat transfer was evaluated. In other works, the temperature measurement error was demonstrated and the kernel method for correcting measured temperatures was demonstrated with a numerical experiment. In this paper, the simulation of the response of a thermocouple with a three-dimensional computational model is used with the kernel method to correct the experimentally measured temperatures. The previous interfacial heat flux estimates are updated by solving the inverse heat conduction problem with the corrected temperatures as the inputs.
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Xu, Q. Y., W. M. Feng, and B. C. Liu. "3D Stochastic Modeling of As-Cast Microstructure for Aluminum Alloy Casting." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32894.

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A 3D stochastic modeling was carried out to simulate the dendritic grains during solidification process of aluminum alloy, including time-dependent calculations for temperature field, solute redistribution in liquid, curvature of the dendritic tip, and growth anisotropy. The nucleation process was calculated by continuous nucleation. A 3D simplified grain shape model was established to represent the equiaxed dendritic grain. Based on the Cellular Automaton method, a grain growth model was proposed to capture the neighbor cells of the nucleated cell. On growing, each grain continues to capture the nearest neighbor cells to form the final shape. When a neighboring cell has been captured by the other grains, the grain growth along this direction is stopped. Three-dimensional calculations were performed to simulate the evolution of dendritic grain. In order to verify the modeling results, aluminum alloy sample castings were cast in sand and metal mold.
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PIĄTKOWSKI, Jarosław, Paweł GRADOŃ, and Martyna LACHOWSKA. "Solidification analysis of Aluminum-based medium entropy casting alloy." In METAL 2019. TANGER Ltd., 2019. http://dx.doi.org/10.37904/metal.2019.744.

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Heringer, Romulo, Ma´rio Boccalini, Marcelo A. Martorano, and Cla´udia R. Serantoni. "Measurement of Cooling Curves in Centrifugal Casting of a Ferrous Alloy." In ASME 2008 Heat Transfer Summer Conference collocated with the Fluids Engineering, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/ht2008-56103.

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A sensor was developed to measure the cooling curves inside a ferrous alloy during its solidification as centrifugally cast tubes. The temperature evolution at some points within the alloy is necessary to evaluate the heat transfer through the outer surface of the tube during the centrifugal casting process. Serious difficulties exist in this type of measurement, because of the rotation of the mold and the relatively high temperature at which the ferrous alloy is poured. The sensor consists of sheathed thermocouples positioned by a convenient support internally to the rotating mold, within the metal layer. Although the sensor is subjected to thermal and mechanical stresses during the melt pouring and solidification, it must maintain its mechanical and thermal characteristics to temperatures of the order of the melting point of the ferrous alloy. Therefore, the thermocouple sheaths and support have been made of refractory metals, namely, tantalum and niobium, to resist the high temperature. Moreover, the sensor was designed to have low thermal inertia, allowing its temperature to increase above the liquidus temperature of the alloy before solidification of the surrounding liquid metal. Because the sensor is embedded in the solidified tube after solidification, a special design was necessary to allow stripping the tube out of the mold without disturbing the system.
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Lins, Erb, Gianfranco Stieven, Daniele Soares, and EDILMA OLIVEIRA. "Numerical Simulation of Temperature Distribution on Metal Casting in Vertical Solidification." In 24th ABCM International Congress of Mechanical Engineering. ABCM, 2017. http://dx.doi.org/10.26678/abcm.cobem2017.cob17-1880.

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Cook, Daniel P., Sachin S. Deshmukh, and David P. Carey. "Modeling Permanent Mold Casting of Aluminum." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42409.

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Modeling the complex, coupled fluid flow, heat transfer and solidification phenomena taking place in metal casting is a challenging task. The quality of any metal casting depends on many parameters such as the type of mould, rate of filling, and rate of solidification. Optimization of these operational parameters is very important in reducing casting defects such as oxide inclusions and porosity. This paper addresses the first steps in validating a computational fluid dynamics (CFD) model of permanent mold casting of aluminum. A mathematical model of the casting system has been developed using the commercial CFD package StarCD. A physical model of the system has been used to validate the mold filling phenomena in the process. Comparison of the results from these models will be presented.
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Mun, Jiwon, Jaehyung Ju, and James Thurman. "Indirect Additive Manufacturing Based Casting (I AM Casting) of a Lattice Structure." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38055.

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Direct-metal additive manufacturing (AM) processes such as Selective Laser Melting (SLM) and Electron Beam Melting (EBM) methods are being used to fabricate complex metallic cellular structures with a laser or electron beam over a metal powder bed. Even though these processes have excellent capabilities to fabricate parts with cellular mesostructures, there exist several constraints in the processes and applications: limited selection of materials, high thermal stress by the high local energy source, poor surface finish, and anisotropic properties of parts caused by combined effects of one-dimensional (1D) energy based patterning mechanism, the deposition layer thickness, powder size, power and travel speed of laser or electron beam. In addition, manufacturing cost is still high with the Direct-metal AM processes. As an alternative for manufacturing metallic 3D cellular structures, which can overcome the disadvantages of direct-metal AM techniques, polymer AM methods may be combined with metal casting. We may call this “Indirect AM based Casting (I AM casting)”. The objective of this study is to explore the potential of I AM Casting associated with development of a novel manufacturing process — Indirect 3D Printing based centrifugal casting which is capable of producing multifunctional metallic cellular structures with internal cooling channels having a 2mm inner diameter and 0.5mm wall thickness. We characterize polymers by making expendable patterns with a polyjet type 3D printer; e.g., modulus, strength, melting and glass transition temperatures and thermal expansion coefficients. A transient flow and heat-transfer analysis of molten metal through 3D cellular network mold will be conducted. Solidification of molten metal through cellular mold during casting will be simulated with temperature dependent properties of molten metal and mold over a range of running temperatures. The volume of fluid (VOF) method will be implemented to simulate the solidification of molten metal together with a user defined function (UDF) of ANSYS/FLUENT. Finally, experimental validation will be conducted.
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