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The calculation is chained such that the resultant microstructure of the previous event, such as casting, is used as the initial condition of the following event, ensuring the tracking of the component history and maintaining a high level of accuracy across metallurgical stages. After specifying the alloy chemical composition, solidification process, and heat treatment parameters, the model predicts the microstructure and potential defects through various stages of the component lifecycle:

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The paper discusses the analysis methodology and trials of two very different cores with experimental validations. The calculation is chained such that the resultant microstructure of the previous event, such as casting, is used as the initial condition of the following event, ensuring the tracking of the component history and maintaining a high level of accuracy across metallurgical stages. As casting knowledge continues to expand, the percentage of scrap due to mold preparation will continue to increase, establishing a need to understand the creation of the mold components. After specifying the alloy chemical composition, solidification process, and heat treatment parameters, the model predicts the microstructure and potential defects through various stages of the component lifecycle:

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The paper discusses the analysis methodology and trials of two very different cores with experimental validations. The presentations, given by ESI, will cover four different facets of metal casting simulation and will be given during the diverse congress technical sessions throughout the 3-day event by Sam Scott, ESI's Casting Lead Engineer. A comprehensive numerical model has been developed for the calculation of the final microstructure and mechanical properties of aluminum casting alloys after heat treatment. The calculation is chained such that the resultant microstructure of the previous event, such as casting, is used as the initial condition of the following event, ensuring the tracking of the component history and maintaining a high level of accuracy across metallurgical stages.

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In case you have any questions about the content, kindly refer to the contact person mentioned in the text of the release. In this paper, ESI's casting simulation software ProCAST is used to demonstrate new functionality which automatically optimizes the casting process parameters. After specifying the alloy chemical composition, solidification process, and heat treatment parameters, the model predicts the microstructure and potential defects through various stages of the component lifecycle: A comprehensive numerical model has been developed for the calculation of the final microstructure and mechanical properties of aluminum casting alloys after heat treatment.

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By treating the sand injection as a non-Newtonian flow, much insight is gained into the core manufacturing process, allowing engineers to properly design the core box, venting locations and sizes, and injection pressures. The paper discusses the analysis methodology and trials of two very different cores with experimental validations.

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By treating the sand injection as a non-Newtonian flow, much insight is gained into the core manufacturing process, allowing engineers to properly design the core box, venting locations and sizes, and injection pressures. HPDC foundries currently rely on experience, trial-and-error or computer simulation to help determine working process parameters for manufacturing their cast parts.

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After specifying the alloy chemical composition, solidification process, and heat treatment parameters, the model predicts the microstructure and potential defects through various stages of the component lifecycle: In this paper, ESI's casting simulation software ProCAST is used to demonstrate new functionality which automatically optimizes the casting process parameters. The calculation is chained such that the resultant microstructure of the previous event, such as casting, is used as the initial condition of the following event, ensuring the tracking of the component history and maintaining a high level of accuracy across metallurgical stages.

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By treating the sand injection as a non-Newtonian flow, much insight is gained into the core manufacturing process, allowing engineers to properly design the core box, venting locations and sizes, and injection pressures. Casting parameters such as cycle time, shot profile, cooling line temperature and flow rate, and spray thickness may be optimized to determine a robust process with maximum productivity. The calculation is chained such that the resultant microstructure of the previous event, such as casting, is used as the initial condition of the following event, ensuring the tracking of the component history and maintaining a high level of accuracy across metallurgical stages.

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  1. Faugul says:

    After specifying the alloy chemical composition, solidification process, and heat treatment parameters, the model predicts the microstructure and potential defects through various stages of the component lifecycle:

  2. Zulkibar says:

    As casting knowledge continues to expand, the percentage of scrap due to mold preparation will continue to increase, establishing a need to understand the creation of the mold components.

  3. Doukasa says:

    The paper discusses the analysis methodology and trials of two very different cores with experimental validations. In this paper, ESI's casting simulation software ProCAST is used to demonstrate new functionality which automatically optimizes the casting process parameters.

  4. Bajar says:

    A comprehensive numerical model has been developed for the calculation of the final microstructure and mechanical properties of aluminum casting alloys after heat treatment. The calculation is chained such that the resultant microstructure of the previous event, such as casting, is used as the initial condition of the following event, ensuring the tracking of the component history and maintaining a high level of accuracy across metallurgical stages.

  5. Gadal says:

    The paper discusses the analysis methodology and trials of two very different cores with experimental validations.

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