Key Takeaways & Executive Findings
- •• An automated gating and riser design framework integrates parametric 3D modeling with simulation, enabling real-time process control and optimization. • Larger gate neck (24 mm) and external risers improve temperature uniformity and flow stability, eliminating shrinkage cavities. • The optimized design increases process yield by 15%, demonstrating significant industrial benefit. • The methodology provides a quantitative evaluation approach for investment casting process design, overcoming limitations of traditional trial-and-error.
Abstract
Automation and intelligence have become the primary trends in the design of investment casting processes. However, the design of gating and riser systems still lacks precise quantitative evaluation criteria. Numerical simulation plays a significant role in quantitatively evaluating current processes and making targeted improvements, but its limitations lie in the inability to dynamically reflect the formation outcomes of castings under varying process conditions, making real-time adjustments to gating and riser designs challenging. In this study, an automated design model for gating and riser systems based on integrated parametric 3D modeling-simulation framework is proposed, which enhances the flexibility and usability of evaluating the casting process by simulation. Firstly, geometric feature extraction technology is employed to obtain the geometric information of the target casting. Based on this information, an automated design framework for gating and riser systems is established, incorporating multiple structural parameters for real-time process control. Subsequently, the simulation results for various structural parameters are analyzed, and the influence of these parameters on casting formation is thoroughly investigated. Finally, the optimal design scheme is generated and validated through experimental verification. Simulation analysis and experimental results show that using a larger gate neck (24 mm in side length) and external risers promotes a more uniform temperature distribution and a more stable flow state, effectively eliminating shrinkage cavities and enhancing process yield by 15%.
1. Introduction
Investment casting is one of the most important casting processes, widely utilized in manufacturing complex-structured components such as cases, aero-engines, turbine blades, and pumps. The mold shell in investment casting offers a high degree of design freedom and exceptional processing accuracy, making it particularly suitable for producing castings with intricate curved surfaces and thin walls. Guide blade castings, typical examples of complex structures, are employed in oxygen pump shells. Their primary function is to direct gas flow, which requires them to exhibit high surface accuracy, superior mechanical properties, and strong corrosion resistance. With the large-scale production of superalloy investment castings, improving the qualification rate has become essential.
Numerical simulation is widely used in optimizing the investment casting process. Hu et al. investigated the directional solidification and heat treatment processes of turbine blades using simulation. Wei et al. employed simulation to study the lattice sandwich structure of nickel-based superalloys. Li et al. predicted deformation in investment casting through simulation. The above-mentioned work has demonstrated the effectiveness of numerical simulation in studying the forming mechanism of castings. Various physical processes of investment casting, including shell deformation, secondary dendrite arm spacing, core mechanical properties, thermal cracking, residual stress, and recrystallization, have been quantitatively analyzed using numerical simulation.
The design of gating and riser systems is critical to the success of investment casting processes. The gating system influences casting quality by regulating the position and flow rate during the filling process, while the riser system impacts defect formation, such as shrinkage cavities, by controlling the solidification and shrinkage behavior of castings. In recent years, some new design techniques of gating and riser system have been proposed. Wang et al. established a design model of response surface method to design the gating and riser system of open impellers. Compared with the conventional modulus method, the riser volume was reduced by 47.85% and the casting yield was increased by 15.02%. Wang et al. proposed a new optimization method for gating system design using fruit fly optimization algorithm. Wang et al. used numerical simulation technology to design the casting process of headstock castings. By extracting the average modulus and molten metal volume at the hot spot in the solidification simulation results, the feeder size was designed quantitatively. Vanikar et al. developed a methodology for the design and optimization of an investment casting system based on genetic algorithms to enhance the accuracy and safety of the casting system through optimization of pouring parameters.
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Le-chuan Li, Ya-jun Yin, Bing-zheng Fan, Guo-yan Shui, Xiao-yuan Ji, Jian-xin Zhou, Lei Jin (2026). Automatic gating and riser system design and defect control for K4169 superalloy guide blade casting based on parametric 3D modeling-simulation integrated system. SinoTechIntel Verified Research. https://doi.org/10.1007/s41230-026-5020-x
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Frequently Asked Questions
What is the main contribution of this paper?
The paper proposes an automated design model for gating and riser systems in investment casting, integrating parametric 3D modeling with simulation to enable real-time process control and optimization, validated by experiments.
How does the proposed system improve casting quality?
By using a larger gate neck (24 mm) and external risers, the system promotes uniform temperature distribution and stable flow, effectively eliminating shrinkage cavities and increasing process yield by 15%.
What are the key parameters considered in the design?
The design incorporates multiple structural parameters for the gating and riser system, including gate neck size and riser type, which are optimized through simulation.
What is the significance of numerical simulation in this study?
Numerical simulation quantitatively evaluates the casting process, allowing analysis of various structural parameters and their influence on casting formation, leading to the optimal design.
What is the industrial relevance of this research?
The automated design framework enhances the flexibility and usability of simulation-based process evaluation, reducing trial-and-error and improving productivity in investment casting of complex superalloy components.
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