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<p>Optimizing the investment casting process is crucial for enhancing casting quality, reducing production costs, and improving production efficiency. Incoloy 825, as a nickel-based alloy, was selected as the research subject to address the prevalent issues of shrinkage cavities, shrinkage porosity, and deformation observed in investment casting production. Using ProCAST software and gray correlation analysis, the study explores the production process of this alloy. Simulation and prediction of the casting process were conducted to analyze the underlying causes of defects in the initial scheme. Orthogonal tests were designed with shrinkage amount, cavity formation, and deformation as quality targets, and gray correlation analysis was applied to determine the theoretical optimal process parameters by evaluating the significance of various factors on casting quality. The findings indicate that gray correlation analysis is an effective tool for optimizing investment casting process parameters. Among the examined factors, the pouring system had the most substantial effect on casting quality, followed by shell baking temperature, with pouring temperature and pouring time having lesser effects. The optimal process parameters were identified as follows: a pouring temperature of 1620 °C, a shell baking temperature of 1050 °C, and a pouring time of 6 s.</p>

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Modeling and Process Optimization of Investment Casting for Nickel-Based Alloys Based on Improved Gray Relational Analysis

  • 期刊论文

  • 发表日期：

    2025年6月25日

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  • Wei Wang,
  • Jingbing Wang,
  • Luning Sun,
  • Yizhi Ma,
  • Sainan Wei

摘要

Optimizing the investment casting process is crucial for enhancing casting quality, reducing production costs, and improving production efficiency. Incoloy 825, as a nickel-based alloy, was selected as the research subject to address the prevalent issues of shrinkage cavities, shrinkage porosity, and deformation observed in investment casting production. Using ProCAST software and gray correlation analysis, the study explores the production process of this alloy. Simulation and prediction of the casting process were conducted to analyze the underlying causes of defects in the initial scheme. Orthogonal tests were designed with shrinkage amount, cavity formation, and deformation as quality targets, and gray correlation analysis was applied to determine the theoretical optimal process parameters by evaluating the significance of various factors on casting quality. The findings indicate that gray correlation analysis is an effective tool for optimizing investment casting process parameters. Among the examined factors, the pouring system had the most substantial effect on casting quality, followed by shell baking temperature, with pouring temperature and pouring time having lesser effects. The optimal process parameters were identified as follows: a pouring temperature of 1620 °C, a shell baking temperature of 1050 °C, and a pouring time of 6 s.