IMPROVING CUTTING PARAMETERS AND FEED FORCE PREDICTIONS IN HARD TURNING USING CBN TOOLS: A MACHINE LEARNING APPROACH

Abstract

This study examines the critical aspects of hard turning processes using CBN tools primarily focus on machining hardened materials with high precision and efficiency materials hard turning involves machining Materials harder than 45 HRC generally require CBN has emerged as an alternative to traditional milling methods, offering significant advantages including reduced This study explores equipment costs, reduced setup times, reduced processing stages, and improved geometric adaptability influence of key This study investigates the impact The impact Cutting parameters, including cutting speed, feed rate, and depth of cut, affect machine performance indicators such as surface roughness, cutting forces, and tool behaviour wear comprehensive literature review and analysis, it has been established that cutting forces serve as fundamental parameters for determining machining power requirements and play a key role in sizing machine tool components and tool bodies. The study highlights that CBN tools, due to their superior hardness and thermal properties, they are typically used in machining hard materials such as high-speed tool steel, die steel, and bearing steel and case hardened steel. The research also emphasizes that modern machine tools improve this process by creating various edge geometries and complex shapes. These findings help understand difficult turning processes and provide valuable insights for industrial applications, especially Across the aerospace, automotive, and print and die manufacturing industries, where achieving excellent surface finishes and maintaining tool longevity are crucial.