Abstract
During the cooling and solidification process of investment casting, the material experiences shrinkage due to its thermal properties. However, the shrinkage of castings often exhibits non-uniform distribution when the mold shell is removed. The reason is a contractive tendency of casting which is constrained by the mold shell, leading to uneven stress distribution. The residual stress will release when the constraint is removed, which induces the inhomogeneous shrinkage distribution. The inhomogeneous shrinkage distribution is not conducive to the control of dimension accuracy of castings. Thus, it is necessary to predict the inhomogeneous shrinkage for the subsequent compensation of cavity contour in the mold cavity design process. In the current relevant research, predicting nonlinear shrinkage in advance based on the geometric structure is also inadequacy. A shrinkage prediction method based on model automated self-correction strategy is proposed to predict nonlinear shrinkage with high accuracy in advance. The innovation of this article is to present a prediction model modeling method for geometric structure and shrinkage and to improve accuracy based on the deviation correction prediction model. The model automated self-correction strategy was correct model parameters according to the modeling prediction deviation. Besides, the shrinkage of the verification pieces was measured. The measured and predicted values of the verification piece were compared. The result shows that the predicted values by the shrinkage prediction method are in agreement with the measured values, and it is better than that without self-correction.
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Funding
The Science and Technology Foundation of Xi’an Aeronautical Institute (Fund No.2020KY0210); Natural Science Basic Research Program of Shaanxi (Fund No.2023-JC-YB-079); and Natural Science Basic Research Program of Shaanxi (Fund No.2023-JC-QN-0625).
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Tian, G., Bu, K., Tian, Q. et al. A Casting Shrinkage Prediction Method Based on Model Automated Self-correction Strategy. Inter Metalcast 18, 1052–1061 (2024). https://doi.org/10.1007/s40962-023-01108-4
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DOI: https://doi.org/10.1007/s40962-023-01108-4