Relevant bibliographies by topics / Casting process selection

Contents

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

Academic literature on the topic 'Casting process selection'

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

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Journal articles on the topic "Casting process selection"

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Zimmermann, Juliana Ilha, Danielle Bond, and Régis Kovacs Scalice. "Web platform for casting process selection." Product Management & Development 16, no. 1 (2018): 7–15. http://dx.doi.org/10.4322/pmd.2018.002.

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Lovatt, A. M., D. Bassetti, H. R. Shercliff, and Y. Bréchet. "Process and alloy selection for aluminium casting." International Journal of Cast Metals Research 12, no. 4 (January 2000): 211–25. http://dx.doi.org/10.1080/13640461.2000.11819358.

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Mizera-Pęczek, Patrycja. "Specificity of organizing casting in the selection process of artists." Studia i Prace WNEiZ 52 (2018): 101–10. http://dx.doi.org/10.18276/sip.2018.52/3-10.

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Pan, Dong, Qing Yan Xu, and Bai Cheng Liu. "Numerical Simulation of Grain Selection Behavior of Single Crystal Ni3Al Based Superalloy Casting." Materials Science Forum 654-656 (June 2010): 1482–85. http://dx.doi.org/10.4028/www.scientific.net/msf.654-656.1482.

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Ni3Al based superalloy has recently been used for the single crystal gas turbine blade. The grain selection behavior in grain selector directly determines the casting’s final microstructure and properties. A mathematical model based on the modified CA-FD method was developed for the three-dimensional simulation of directional solidification process of Ni3Al based single crystal superalloy castings. The microstructure evolution was simulated with the modified Cellular Automaton method. The grain selection process in the grain selector and final microstructure of casting were simulated. The results indicate that the stray grain is easy to nucleate at the middle part of the pigtail because of the discontinuous mushy zones formation. This agrees with previous published experimental results. Based on simulated results, a newly designed grain selector with optimized geometry was proposed to avoid stray grains.
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Darwish, S. M., and A. M. El-Tamimi. "The selection of the casting process using an expert system." Computers in Industry 30, no. 2 (September 1996): 77–86. http://dx.doi.org/10.1016/0166-3615(95)00089-5.

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Sirilertworakul, N., P. D. Webster, and T. A. Dean. "A knowledge base for alloy and process selection for casting." International Journal of Machine Tools and Manufacture 33, no. 3 (June 1993): 401–16. http://dx.doi.org/10.1016/0890-6955(93)90048-y.

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Kumar, Rajesh, Rupinder Singh, and IPS Ahuja. "Process capability study of three dimensional printing as casting solution for non ferrous alloys." Rapid Prototyping Journal 22, no. 3 (April 18, 2016): 474–86. http://dx.doi.org/10.1108/rpj-05-2014-0063.

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Purpose The purpose of this paper is to investigate the process capability of three-dimensional printing (3DP)-based casting solutions for non-ferrous alloy (NFA) components. Design/methodology/approach After selection and design of benchmark, prototypes for six different NFA materials were prepared by using 3DP (ZCast process)-based shell moulds. Coordinate measuring machine has been used for calculating the dimensional tolerances of the NFA components. Consistency with the tolerance grades of the castings has been checked as per IT grades. Findings The results of process capability investigation highlight that the 3DP process as a casting solution for NFA component lies in ±5sigma (s) limit, as regards to dimensional accuracy is concerned. Further, this process ensures rapid production of pre-series industrial prototypes for NFA. Final components prepared are also acceptable as per ISO standard UNI EN 20,286-I (1995). Originality/value This research work presents capability of the 3DP process supported with experimental data on basis of various process parameters for the tolerance grade of NFA castings. These statistics can help to enhance the application of 3DP-based NFA casting process in commercial foundry industry.
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Pałyga, Ł., M. Stachowicz, and K. Granat. "Effect of parameters of high-pressure die casting on occurrence of casting nonconformities in sleeves of silumin alloy EN AB 47100." Archives of Metallurgy and Materials 62, no. 1 (March 1, 2017): 373–78. http://dx.doi.org/10.1515/amm-2017-0058.

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Abstract The paper presents a research on the effect of extreme - for the technology of the considered silumin EN AB 47100 - parameters of high-pressure die casting on occurrence of casting nonconformities. Considered was influence of the way of assembling the mould cooled-down to 140-160°C, non-standard for the selected casting, and pouring temperature in the range of 705 to 720°C (higher than the recommended) of non-refined alloy. The castings were prepared with use of a high-pressure casting machine made by Kirov with mould closing force of 2500 kN. Occurrence of nonconformities was evaluated on properly prepared specimens taken from the castings manufactured with various parameters of the injection piston and various multiplication pressures. The results were subjected to quantitative and qualitative analyses of casting nonconformities and distribution of major alloying elements. It was found that proper selection of working parameters of the casting machine, in spite of disadvantageous pouring conditions, makes it possible to reduce occurrence of some casting defects, like shrinkage cavities and porosity, to improve tightness of castings even when the alloy refining process is omitted.
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Falkus, J., and K. Miłkowska-Piszczek. "Strategy of Cooling Parameters Selection in the Continuous Casting of Steel." Archives of Metallurgy and Materials 61, no. 1 (March 1, 2016): 329–34. http://dx.doi.org/10.1515/amm-2016-0061.

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This paper presents a strategy of the cooling parameters selection in the process of continuous steel casting. Industrial tests were performed at a slab casting machine at the Arcelor Mittal Poland Unit in Krakow. The tests covered 55 heats for 7 various steel grades. Based on the existing casting technology a numerical model of the continuous steel casting process was formulated. The numerical calculations were performed for three casting speeds - 0.6, 0.8 and 1 m min-1. An algorithm was presented that allows us to compute the values of the heat transfer coefficients for the secondary cooling zone. The correctness of the cooling parameter strategy was evaluated by inspecting the shell thickness, the length of the liquid core and the strand surface temperature. The ProCAST software package was used to construct the numerical model of continuous casting of steel.
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Zhang, Li Qiang, and Rong Ji Wang. "Numerical Simulation of LPDC Process for Thin-Walled Aluminum Alloy." Advanced Materials Research 538-541 (June 2012): 474–78. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.474.

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In general, the thin-walled casting with the thickness less than 2mm is not easy to be prepared using low-pressure die casting (LPDC) technology because of its poor filling-ability. In this paper, the LPDC process of A356 thin-walled aluminum alloy was simulated based on the selection of appropriate boundary conditions in order to save the cost. The simulation results compared with experimental results indicate the numerical simulation technology is an effective tool for reducing the manufacturing cost and improving the casting quality.
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Dissertations / Theses on the topic "Casting process selection"

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Karni, Yiftah. "Selection of process variables for die casting /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487688507504379.

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Marcos, Rebal, and Endrias Teklu. "ANALYSIS OF CASTING PROCESS FORCOMPLEX ELECTRONIC UNIT." Thesis, Jönköping University, JTH, Mechanical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-11545.

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Most aircraft component are currently being manufactured by machining, forging, welding and also assembling such parts. However, the possibilities of cutting cost from a single component has brought about a growing trend towards looking into casting as a possible option for manufacturing aircraft parts.

This thesis was done at the request of Saab Avitronics. It evaluates the possibilities of one aircraft part, a chassis for an electronic unit that was first designed to be machined from a blank, to be cast. The thesis goes through the multifaceted tasks of product development. Casting process selection, cast alloy selection as well as geometry modification were some of these tasks that were performed in this thesis. It also evaluates the performances of chosen casting processes, the design of gating systems as well as various process parameters set, by simulating the casting processes.

The alloy chosen was A356.0 with a T6 temper and the casting processes chosen were plaster mold casting and rheocasting. The geometry of the original chassis, which had very thin sections and undercuts which were complex to cast, was modified and made easier to cast with an acceptable slight increase of mass and size. The modification done on the geometry as well as the gating systems used had proven to be worthwhile, as the simulation of both process showed that such a part can be casted with no crucial defects foreseen. However, probable cavities might occur at the very tip of the chassis’s thin-fins – that it has for carrying away heat. Minor subsurface porosities might also be formed, which would not impair the function of the chassis. The modified chassis was made as close to as finished piece as possible, for the purpose of reducing machining costs. The cost of producing such a part by casting was also seen to be much less than machining it from blank. This could be taken as rationale for casting the chassis with thicker sections, to avoid problems that may arise in casting, and to subsequently machine these faces later, as it would still be cheaper than machining the chassis from a blank.

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Elsilä, U. (Ulla). "Knowledge discovery method for deriving conditional probabilities from large datasets." Doctoral thesis, University of Oulu, 2007. http://urn.fi/urn:isbn:9789514286698.

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Abstract In today's world, enormous amounts of data are being collected everyday. Thus, the problems of storing, handling, and utilizing the data are faced constantly. As the human mind itself can no longer interpret the vast datasets, methods for extracting useful and novel information from the data are needed and developed. These methods are collectively called knowledge discovery methods. In this thesis, a novel combination of feature selection and data modeling methods is presented in order to help with this task. This combination includes the methods of basic statistical analysis, linear correlation, self-organizing map, parallel coordinates, and k-means clustering. The presented method can be used, first, to select the most relevant features from even hundreds of them and, then, to model the complex inter-correlations within the selected ones. The capability to handle hundreds of features opens up the possibility to study more extensive processes instead of just looking at smaller parts of them. The results of k-nearest-neighbors study show that the presented feature selection procedure is valid and appropriate. A second advantage of the presented method is the possibility to use thousands of samples. Whereas the current rules of selecting appropriate limits for utilizing the methods are theoretically proved only for small sample sizes, especially in the case of linear correlation, this thesis gives the guidelines for feature selection with thousands of samples. A third positive aspect is the nature of the results: given that the outcome of the method is a set of conditional probabilities, the derived model is highly unrestrictive and rather easy to interpret. In order to test the presented method in practice, it was applied to study two different cases of steel manufacturing with hot strip rolling. In the first case, the conditional probabilities for different types of retentions were derived and, in the second case, the rolling conditions for the occurrence of wedge were revealed. The results of both of these studies show that steel manufacturing processes are indeed very complex and highly dependent on the various stages of the manufacturing. This was further confirmed by the fact that with studies of k-nearest-neighbors and C4.5, it was impossible to derive useful models concerning the datasets as a whole. It is believed that the reason for this lies in the nature of these two methods, meaning that they are unable to grasp such manifold inter-correlations in the data. On the contrary, the presented method of conditional probabilities allowed new knowledge to be gained of the studied processes, which will help to better understand these processes and to enhance them.
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Setti, Dalmarino. "Método multicriterial para seleção de processos de fundição de metais." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/28785.

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O objetivo principal da tese foi desenvolver um método multicriterial de seleção de processos de fundição de metais (MMSPF) para fabricação de componentes, considerando-se critérios técnicos, ambientais e econômicos para ser aplicado nas fases iniciais do desenvolvimento do componente. O MMSPF é constituído pelos módulos de seleção técnica e econômica. O módulo de seleção técnica é destinado a antecipar as atividades de seleção de processos, a serem desenvolvidas na fase de projeto preliminar, enquanto o módulo de seleção econômica é destinado a antecipar as atividades de seleção de processos, necessárias à fase de projeto detalhado. O MMSPF realiza a seleção de processos de forma sequencial. Inicialmente, avaliando aspectos técnicos e, posteriormente, considerando aspectos econômicos. O MMSPF contempla as seis classes de ligas metálicas mais utilizadas na produção de componentes fundidos: aços, ferros fundidos, ligas de alumínio, ligas de cobre, ligas de magnésio e ligas de zinco, apropriadas aos processos de fundição de metais destinados à produção de peças. O MMSPF contempla os quinze principais processos de fundição de metais destinados a produção de peças: areia verde – manual (P1), areia verde – mecanizada (P2), areia verde – automatizada (P3), areia silicato - CO2 (P4), areia com resina – cura frio (P5), areia com resina – shell molding (P6), processo molde de gesso – plaster molding (P7), processo molde cerâmico (P8), investment casting (P9), molde cheio - lost foam (P10), fundição centrífuga - molde metálico (P11), molde permanente – gravidade (P12), molde permanente - baixa pressão (P13), fundição sob pressão - die casting (P14) e squeeze casting (P15) como conjunto solução da seleção. As inovações propostas pelo MMSPF foram: (i) consolidação das diferentes fontes de informação dos processos a serem utilizadas no MMSPF, por meio de uma função de agregação; (ii) utilização de aspectos ambientais como critérios para seleção de processos de fundição de metais; (iii) consideração da estimação de custos de fabricação para realizar a seleção de processos de fundição de metais a partir de um índice de custo de fabricação, relativo ao desempenho técnico. Também foi desenvolvido um aplicativo computacional para implementar o MMSPF composto por três elementos principais: um software de planilha eletrônica (Microsoft Excel), no qual são realizadas todas as operações matemáticas necessárias ao desenvolvimento das etapas operacionais do MMSPF; um banco de dados, o software livre SQLite, responsável por armazenar as informações utilizadas no aplicativo computacional do MMSPF; e a interface gráfica do usuário, que atua como elemento de conexão entre o banco de dados, o software de planilha eletrônica e o usuário.
The main objective of this thesis was to develop a Multi-criteria Method for metal Casting Process Selection (MMCPS) to manufacturing components, considering technical criteria, environmental and economic to be applied in the early stages of design of the component. The MMCPS consists modules for the technical and economic selection. The technique selection module is designed to anticipate the activities of processes selection to be developed in the embodiment design, while the economic selection module is designed to anticipate selection process activities, necessary the detailed design phase. The MMCPS conducts the selection process sequentially. Initially, evaluating technical aspects and, subsequently, considering economic aspects. The MMCPS includes the six classes of metal alloys more used in the production of cast components: steel, cast iron, aluminum alloys, copper alloys, magnesium alloys and zinc alloys, suitable for metal shape casting processes. The MMCPS covers the fifteen main metal shape casting processes: green sand – hand molding (P1), green sand – mechanized molding (P2), green sand - automatic molding (P3), silicate-CO2 (P4), air-set/nobake (P5), shell molding (P6), plaster molding (P7), ceramic mold (P8), investment casting (P9), lost foam (P10), centrifugal casting – metallic mold (P11), permanent mold-gravity (P12), permanent mold-low pressure (P13), die casting (P14) and squeeze casting (P15) as the set solution for the selection process. The innovations proposed by MMCPS were: (i) consolidation of different sources of information processes to be used in MMCPS through an aggregation function; (ii) use of environmental aspects as criteria for selection of metal casting processes; (iii) consideration of the cost estimation of manufacturing to make the metal casting process selection from an index of manufacturing cost on the technical performance. Also developed a computational tool to implement the MMCPS composed of three main elements: a spreadsheet software (Microsoft Excel), which are held every mathematical operations necessary for the development of operational steps MMCPS; a database, freeware SQLite, responsible for storing information used in the application of computational MMCPS, and the graphical user interface, which acts as a link between the database, the spreadsheet software and the user.
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Pereira, Rodrigo Lemos. "Uso de método de decisão multi-critério para seleção de um fornecedor de moldes para fundição de autopeças." Universidade de Taubaté, 2011. http://www.bdtd.unitau.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=315.

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The complexity in the vehicles production process is due mainly to the large number of Assembled components that are generally characterized by a high technological content. The castings, one of these components, fit perfectly in this category and they only can be made at a competitive quality and cost level if a proper tooling is available. The molds and dies manufacturing process requires modern computer technologies and materials of high reliability and performance. Although made to mass production, toolings are unique products whose manufacturing requires technical knowledge and familiarity with the casting process where they will be employed. The selection of a casting tooling supplier is usually a complicated and time- consuming issue. The decision process is based on several criteria that can be conflicting or superposed, objective or subjective. In the present paper the analytic hierarchy process (AHP) was used to select a tooling supplier for the manufacturing of a transmission housing by the die casting process. Several qualitative and quantitative criteria for the tooling supplier selection were identified through the technical literature review and discussion with foundry specialists. Subsequently, the criteria hierarchy was established in three levels and comparison matrixes were developed to determine the priorities among them. The consistency ratio for each matrix was calculated and the final score of each potential supplier was determined. The study was concluded with a sensitivity analysis that contributed to confirm the choice of the selected supplier. The application of the methodology improved the selection process by reducing the subjectivity and by weighing the major selection criteria.
A complexidade no processo de produção de veículos deve-se, entre outras razões, aos inúmeros componentes utilizados na montagem, que em geral tem elevado conteúdo tecnológico. Os fundidos enquadram-se perfeitamente nesta categoria e somente podem ser produzidos com qualidade e custo competitivo com o emprego de moldes apropriados. A fabricação destes moldes é feita usando-se modernas tecnologias computacionais e materiais de alto desempenho e confiabilidade. Embora destinados à produção em massa, cada molde é um produto único cuja manufatura requer conhecimento técnico específico e familiaridade com o processo de fundição onde serão utilizados. A escolha de um fornecedor para moldes de fundição é normalmente um problema complicado e que consome tempo, a análise envolve múltiplos critérios, que podem ser conflitantes ou superpostos, objetivos ou subjetivos. O objetivo deste trabalho é mostrar a utilização do processo hierárquico analítico (AHP) para selecionar um fornecedor de um molde para uso no processo de fundição sob pressão, para produção de uma carcaça de transmissão. Através da revisão de literatura técnica e contatos com especialistas, diversos critérios qualitativos e quantitativos foram identificados para a escolha do fornecedor. Posteriormente estes critérios foram hierarquizados em três níveis e as prioridades entre eles identificadas em matrizes de comparação. A seguir, calculou-se a razão de consistência para cada uma das matrizes e obteve-se o escore final de cada fornecedor em potencial. O estudo foi concluído com uma análise de sensibilidade, que contribuiu para ratificar a escolha do fornecedor selecionado. A aplicação do método melhorou o processo de seleção pela redução da subjetividade e pela ponderação dos critérios julgados importantes em um fabricante de moldes complexos.
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Ferguson, Lucian Garret. "Spectrally selective, matched emitters for thermophotovoltaic energy conversion fabricated by tape casting process /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/10589.

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Books on the topic "Casting process selection"

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Miller, Brett A., Roch J. Shipley, Ronald J. Parrington, and Daniel P. Dennies, eds. Analysis and Prevention of Component and Equipment Failures. ASM International, 2021. http://dx.doi.org/10.31399/asm.hb.v11a.9781627083294.

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Volume 11A provides information and insights on the factors that determine the useful service life of engineering components and the likely timing and mode of failure. It addresses nearly every stage of the product lifecycle from materials selection and design to manufacturing, operation, maintenance, and repair. It explains how to use life assessment methods to evaluate the effect of corrosion, fatigue, brittle fracture, elevated temperature, and other forms of damage. It also includes a section that examines the effects of casting, forming, welding, heat treating, and other manufacturing processes on component lifetime and performance. The final and by far largest section in the volume presents and analyzes the failure of metal shafts, fasteners, bearings, springs, and gears as well as pressure vessels, boilers, heat exchangers, pipelines, bridges, cranes, rail equipment, and medical devices. For information on the print version of Volume 11A, ISBN: 978-1-62708-327-0, follow this link.
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Book chapters on the topic "Casting process selection"

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Swift, K. G., and J. D. Booker. "Casting processes." In Process Selection, 35–61. Elsevier, 2003. http://dx.doi.org/10.1016/b978-075065437-1/50005-6.

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Swift, K. G., and J. D. Booker. "Casting Processes." In Manufacturing Process Selection Handbook, 61–91. Elsevier, 2013. http://dx.doi.org/10.1016/b978-0-08-099360-7.00003-3.

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Rosato, Dominick V., Donald V. Rosato, and Matthew V. Rosato. "CASTING." In Plastic Product Material and Process Selection Handbook, 394–405. Elsevier, 2004. http://dx.doi.org/10.1016/b978-185617431-2/50014-1.

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"Aluminum Casting Processes." In Aluminum Alloy Castings, 21–37. ASM International, 2004. http://dx.doi.org/10.31399/asm.tb.aacppa.t51140021.

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Abstract This chapter begins with information on the historical development of aluminum alloy castings. It then covers the basic factors involved in the selection of a casting process. This is followed by sections describing the various categories of casting processes and their variants: expendable mold gravity-feed casting, nonexpendable (permanent) mold gravity feed casting, and pressure die casting. Next, the chapter describes the technologies used to produce premium engineered castings and when such castings may be relevant. The chapter concludes with descriptions of other process technologies used with castings, including metallurgical bonding, metal-matrix composites, and hot isostatic pressing.
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Goodwin, Frank E. "Die Casting Process Design." In Encyclopedia of Aluminum and Its Alloys. Boca Raton: CRC Press, 2019. http://dx.doi.org/10.1201/9781351045636-140000406.

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Pressure die casting is a process in which molten metal is forced under high pressure into a cavity in a metal die after which it rapidly solidifies. This high speed process allows complex shapes to be cast into net shape requiring minimal machining and finishing. This article reviews: basic die casting processes, shot system design, construction and use of the P-Q2 Diagram, feed system and overflow design, die machine selection, runner and gate systems, cooling systems and heat transfer, determining input values for water line placement, and application examples.
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"Introduction." In Aluminum Alloy Castings, 1–6. ASM International, 2004. http://dx.doi.org/10.31399/asm.tb.aacppa.t51140001.

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Abstract This chapter first introduces the various factors that may alter the physical and mechanical properties of aluminum castings that are addressed in the other chapters in the book. Then, it presents the historical development of aluminum castings, followed by a discussion on the advantages and limitations of aluminum castings. Next, the chapter describes the major trends that are influencing the increased use of aluminum castings. Finally, it introduces the considerations involved in the selection of an appropriate aluminum alloy and casting process for a given application.
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"Fundamentals of Process Control." In Elements of Induction Heating, 143–83. ASM International, 1988. http://dx.doi.org/10.31399/asm.tb.eihdca.t65220143.

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Abstract This chapter discusses the selection, use, and integration of methods to control process variables in induction heating, including control of workpiece and processing temperature and materials handling systems. The discussion of temperature control includes a review of proportional controllers and heat-regulating devices. Integration of control functions is illustrated with examples related to heating of steel slabs, surface hardening of steel parts, vacuum induction melting for casting operations, and process optimization for electric-demand control. Distributed control within larger manufacturing systems is discussed. The chapter also covers nondestructive techniques for process control and methods for process simulation.
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"Process Selection Guidelines." In Aluminum Castings Engineering Guide, 247–52. ASM International, 2018. http://dx.doi.org/10.31399/asm.tb.aceg.t68410247.

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Liu, James H., and Dario Páez. "Social Representations of History as Common Ground for Processes of Intergroup Relations and the Content of Social Identities." In The Handbook of Culture and Psychology, 586–614. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190679743.003.0018.

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Social representations of history (SRH) provide symbolic resources enabling a society or culture to communicate what has worked for it in the past when facing challenges today. SRH (or collective memories) enrich process-oriented psychology with content that moderates and provides mediators for culture-general theories. They are produced by nation-states to provide a “warrant of antiquity” that legitimizes their claims to sovereignty. SRH are considered as a form of narrative for national or global identity, with schematic narrative templates casting groups or individuals as heroes and villains in the psyche of peoples, from which lessons can be drawn. Through the World History Survey and national case studies, this chapter illustrates how collective memory retains from the past only that which is still capable of living in the consciousness of the groups in the present, and, through a continual process of selection, interpretation, and retention enables both continuity and change in managing social identities.
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Stolt, Roland, and Anders E. W. Jarfors. "Manufacturing of High Pressure Die Casting Die Inserts Using SLM." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200206.

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Dies for high pressure die casting are normally manufactured by machining of slabs of tool steel to the required dimensions. This manufacturing requires several steps such as rough machining, heat-treatment, EDM (electro discharge machining) and polishing. With the AM (additive manufacturing) method SLM (Selective Laser Melting) it has become possible to print the dies fully or in part. Several advantages are expected, such as a better thermal distribution in the die in service and thereby extended die life and better component quality. This is due to the possibility of making the cooling channels conformal. There are also expectations of reduced time and cost in the manufacturing process due to fewer manufacturing steps and better material utilisation. Hopes are to print a net shape or near net shape that can be used directly as a die component. In this paper it is investigated to what extent this can be fulfilled by printing two die inserts to be used for casting fatigue test samples of aluminium. They were printed on a 3D Systems ProX DMP 300 in maraging steel powder. The result is that it is possible to obtain a sufficiently smooth surface die surface. However, the current design with an SLM insert fitted in a machined die makes extensive post printing manufacturing necessary.
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Conference papers on the topic "Casting process selection"

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Wolfe, Robert, and Rob Bailey. "High Integrity Structural Aluminum Casting Process Selection." In SAE 2000 World Congress. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-0760.

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Fletcher, R. "Process selection and casting v cutting - the topography of choice." In 4th International Conference on Advanced Factory Automation (Factory 2000). IEE, 1994. http://dx.doi.org/10.1049/cp:19940912.

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Yu, Jyh-Cheng, Sherveen Lotfi, Kos Ishii, and Andrew Trageser. "Process Selection for the Design of Aluminum Components." In ASME 1993 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/cie1993-0023.

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Abstract This paper describes a method for process selection of aluminum components in the early stages of design. Aluminum has many advantages in a variety of applications in its manufacturability and recyclability. Yet, engineers who are trained to design steel components do not take full advantage of this material. The main reason is that engineers tend to be unaware of the many economical processing methods for aluminum. We have developed a program that combines preliminary screening of processes with normalized cost analysis. Design compatibility analysis (DCA) ranks each process based on its feasibility with the basic geometry, material, and production requirements. For top candidates, the program employs external cost routines for detailed comparisons. The primary processes considered are extrusion, sheet forming, forging, die casting, and sand casting. The program extends its compatibility and cost analysis to secondary operations such as bending and machining. The program should be useful for engineer training and as a preliminary design tool. The program uses HyperCard as a front-end, Prolog for logic-based analysis, and Excel for cost calculations.
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4

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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Chung, Chan W., Joon Hong, Alex Lee, Karthik Ramani, and Mileta Tomovic. "Methodology for Selection of Rapid Tooling Process for Manufacturing Applications." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41974.

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Digital representation of geometry is transforming the methods for the manufacturing of products. Such transformations include a significant reduction in cost and leadtime to produce products and to increase the variety of products. The ability to produce tooling from material removal and additive processes has led to new methods to produce tooling from digital geometry representations. These include processes that are grouped together as fast-free-form-fabrication (FFFF) methods. In addition, other possibilities exist in modular tooling for generating variety and new processes/methods for producing such geometries. Also, conventional machining processes have improved significantly. As a result of these transformations, a tooling designer faces many choices of methods, materials, and lead-times to produce tooling. These decisions involve geometric reasoning coupled with other requirements based on production needs, cost constraints, and individual casting shop capabilities. This paper discusses a methodology for selection of rapid tooling (RT) processes based on a number of user-specified attributes and relative cost and lead-time comparisons across a wide spectrum of available RT processes. The method is based on a combination of weighted functionals and on the approximate mathematical models of metalcasting process costs and their lead-time. The method has been put on the Internet for easy access. It is currently limited to only several of the most common RT processes and materials. However, the database will be expanded in the future to include a majority if not all of the metalcasting processes.
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Kavicka, Frantisek, Josef Stetina, Karel Stransky, Jana Dobrovska, Bohumil Sekanina, and Jaromir Heger. "A Numerical Model of Solidification of a Massive Casting From Malleable Cast-Iron." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56043.

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A numerical model of the temperature field associated with solidifying castings aims to achieve two general goals: directed solidification (as the primary condition for a healthy casting), and optimisation of the technology of casting together with the preservation of optimum utility properties of the product. A specific goal of this model is the selection and optimisation of the method of cooling to shorten the solidification time to obtain a spherical graphite structure with good nodular properties, and with a sufficient density of graphite spheres (cells). The speed of cooling during solidification and cooling in the mould is therefore a significant quantity influencing the formation of the structure. The achievement of these goals depends on the ability to analyse and, successively, to control the effect of the main factors which characterise the solidification process or accompany it. The analysis of the quantities is focused on determining the causes of the formation of the heterogenic temperature field during casting, considering the phase and structural changes. It is also focused on the thermokinetics of the formation of shrinkage porosities and cavities and on the prediction of their formation. This leads to the optimisation of the shape and sizes of the risers, the method of insulation, the treatment of the level. The model is applicable to various shapes of castings. The software is capable of analysing the temperature field of the actual casting, as well as the temperature field of the mould and cores, including the dependence of their material. It is also capable of considering non-linearity, i.e. the dependence of the thermophysical properties—namely the material of the casting and mould on the temperature, as well as the dependence of the heat transfer coefficients on the surface and interface temperature. The model is also equipped with an original network generator (pre-processing) as well as graphical output (post-processing).
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7

Martens, Thomas, Laine Mears, Mike Dotson, Monty Graham, and Phillip Sanger. "Requirements Selection for Rapid Prototyping: Polyphenylsulfone as a Mold Material for Spin Casting Polyurethane Resin." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84361.

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For the development of a rotational symmetrical polyurethane part with a steel reinforcement, a requirement/constraint driven approach to process design has been taken. In this approach a scale model of the process was built using fused deposition modeling rapid prototyping technique, then used to validate design, material and process parameters. After selection and testing on the scaled prototype, results were used to define a full-sized spin casting mold built using Polyphenylsulfone.
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8

Kavicka, Frantisek, Josef Stetina, Karel Stransky, Jana Dobrovska, Bohumil Sekanina, and Jaromir Heger. "A Numerical Model of Solidification of a Massive Casting From Malleable Cast-Iron." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2587.

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This numerical model of the temperature field of solidifying castings aims to achieve two general goals: directed solidification (as the primary condition for a healthy casting) and optimization of the technology of casting together with the preservation of optimum utility properties of the product. A specific goal of this model is the selection and optimization of the method of cooling to shorten the solidification time in order to obtain a spherical graphite structure with good nodular properties and with a sufficient density of graphite spheres (cells). The speed of cooling during solidification and cooling in the mould is therefore a significant quantity influencing the formation of the structure. The achievement of these goals depends on the ability to analyze and, successively, to control the effect of the main factors which characterize the solidification process or accompany it. The analysis of the quantities is focused on determining the causes of the formation of the heterogenic temperature field within the actual casting during casting, considering the phase and structural changes. It is also focused on the thermokinetics of the formation of shrinkage porosities and cavities and on the prediction of their formation. This leads to the optimization of the shape and sizes of the risers, the method of insulation, the treatment of the level, etc. The model is applicable to various shapes of castings. The software is capable of analyzing the temperature field of the actual casting, as well as the temperature field of the mould and cores, including the dependence of their material. It is also capable of considering non-linearity, i.e. the dependence of the thermophysical properties—namely the material of the casting and mould on the temperature, as well as the dependence of the heat transfer coefficients on the surface and interface temperature. The model is also equipped with an original network generator (pre-processing) as well as graphical output (post-processing).
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9

Hayes, Austin C., and Gregory L. Whiting. "Powder-Binder Jetting Large-Scale, Metal Direct-Drive Generators: Selecting the Powder, Binder, and Process Parameters." In ASME 2019 Power Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/power2019-1853.

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Abstract Additive manufacturing enables the production of complex geometries extremely difficult to create with conventional subtractive methods. While good at producing complex parts, its limitations can be seen through its penetration into everyday manufacturing markets. Throughput limitations, poor surface roughness, limited material selection, and repeatability concerns hinder additive manufacturing from revolutionizing all but the low-volume, high-value markets. This work characterizes combining powder-binder jetting with traditional casting techniques to create large, complex metal parts. Specifically, we extend this technology to wind turbine generators and provide initial feasibility of producing complex direct-drive generator rotor and stator designs. In this process, thermal inkjet printer heads selectively deposit binder on hydroperm casting powder. This powder is selectively solidified and baked to remove moisture before being cast through traditional methods. This work identifies a scalable manufacturing process to print large-scale wind turbine direct drive generators. As direct-drive generators are substantially larger than their synchronous counterparts, a printing process must be able to be scaled for a 2–5 MW 2–6m machine. For this study, research on the powder, binder, and printing parameters is conducted and evaluated for scalability.
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Pollinger, J., B. Busovne, M. Meiser, and J. Nick. "Selection, Development, and Application of Forming and Densification Techniques for Silicon Nitride Heat Engine Components." In ASME 1992 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/92-gt-385.

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A wide variety of silicon nitride structural ceramic components are currently being developed and evaluated for advanced heat engine applications. The size, geometry, and performance requirements of these components are the criteria driving the selection of the appropriate forming process and densification process. The different forming and densification processes have unique forming and resulting property advantages and limitations which must be considered during the selection process. Specific heat engine component applications, including gas turbine components such as hot section wheels and stators, and internal combustion engine cam rollers will be discussed and the rationale for selection of the material, forming process, and densification process will be presented. Performance of the components will be related to the material, forming, and densification techniques used. The forming techniques discussed are slip casting, injection molding, and compaction/ isostatic pressing. The densification techniques discussed are sintering, sinter-HIP, and glass-encapsulation-HIP.
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