Adaptive Control Systems of Milling Process by Changing the Cutting Parameters: A Review

The article provides a comprehensive overview of the existing research on adaptive control systems applied to milling processes with a focus on modifying cutting parameters. The review synthesizes findings from various scholarly works, highlighting advancements, challenges, and trends in the field. The article explores how adaptive control systems play a crucial role in optimizing milling operations by dynamically adjusting cutting parameters - speed, feed rate, and depth of cutting. The literature review covers diverse methodologies, including sensor-based feedback, machine learning algorithms, and intelligent control strategies, illustrating the evolving landscape of milling process optimization. This review aims to encapsulate the current state of the art in literature, shedding light on the methodologies, advancements, and key findings related to the implementation of adaptive control systems in the context of milling processes.