Numerical Simulation and Optimization of Directional Solidification Process of Single Crystal Superalloy Casting

Area of Science:

• Materials Science
• Computational Materials Science
• Metallurgy

Background:

• Numerical modeling advances enhance metal solidification process accuracy.
• Directional solidification (DS) is crucial for single crystal (SX) superalloy components.
• Optimizing DS parameters is complex, requiring advanced control strategies.

Purpose of the Study:

• To simulate and optimize the directional solidification (DS) of single crystal (SX) superalloy blades.
• To develop an intelligent control model for real-time DS process adjustment.
• To achieve a steady, stray-grain-free solidification structure.

Main Methods:

• Utilized the cellular automaton-finite difference (CA-FD) method for DS simulation.
• Developed a fuzzy control theory-based intelligent model for process optimization.
• Integrated CA-FD simulations with a fuzzy logic controller for real-time parameter adjustment.

Main Results:

• Experimental validation confirmed the accuracy of CA-FD simulation results.
• The fuzzy control model effectively adjusted the withdrawal rate (v) based on key parameters like mushy zone width and temperature gradients.
• The integrated CA-FD and fuzzy control approach demonstrated real-time optimization capabilities.

Conclusions:

• The coupled CA-FD and fuzzy control model offers a flexible and adaptive solution for DS processes.
• Optimized DS parameters lead to improved casting quality, ensuring steady and stray-grain-free structures.
• This approach enhances the manufacturing of SX superalloy components.