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Milling Mechanism and Chattering Stability of Nickel-Based Superalloy Inconel718

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Nickel-based Superalloy Inconel 718 is widely used in the aerospace industry for its excellent high-temperature strength and thermal stability. However, milling Inconel 718 presents challenges due to significantly increased cutting force and vibration, which is a typical difficult-to-machine material. This paper focuses on the milling process of Inconel 718, establishing a milling force model to analyze the force trends under various processing parameters. Finite element analysis is employed to study the stress and temperature fields during milling. Dynamic equations for milling Inconel 718 are developed, and stability lobe diagrams are generated based on modal experiments. Milling experiments on Inconel 718 validate the milling force model and finite element analysis results. The fmincon optimization algorithm is utilized to identify the optimal machining parameters for Inconel 718. Through this research, valuable insights into enhancing the efficiency and quality of Inconel 718 machining are provided. This study contributes to a deeper understanding of Inconel 718 milling behavior, offering crucial guidance for more efficient machining processes.
Title: Milling Mechanism and Chattering Stability of Nickel-Based Superalloy Inconel718
Description:
Nickel-based Superalloy Inconel 718 is widely used in the aerospace industry for its excellent high-temperature strength and thermal stability.
However, milling Inconel 718 presents challenges due to significantly increased cutting force and vibration, which is a typical difficult-to-machine material.
This paper focuses on the milling process of Inconel 718, establishing a milling force model to analyze the force trends under various processing parameters.
Finite element analysis is employed to study the stress and temperature fields during milling.
Dynamic equations for milling Inconel 718 are developed, and stability lobe diagrams are generated based on modal experiments.
Milling experiments on Inconel 718 validate the milling force model and finite element analysis results.
The fmincon optimization algorithm is utilized to identify the optimal machining parameters for Inconel 718.
Through this research, valuable insights into enhancing the efficiency and quality of Inconel 718 machining are provided.
This study contributes to a deeper understanding of Inconel 718 milling behavior, offering crucial guidance for more efficient machining processes.

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