Hard Turning and CNC Parameter Optimization: A Review of Cutting Force, Surface Roughness, Tool Wear, and Taguchi/RSM Approaches
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Hard turning, the single-point turning of steels hardened above about 45 HRC, is now an established alternative to grinding for finishing precision parts. Its success depends on selecting cutting speed, feed rate, depth of cut and tool geometry that balance cutting force, surface finish, surface integrity and tool life. This review first outlines the mechanics that set hard turning apart from conventional turning, namely segmented chip formation, a strongly negative effective rake and a dominant thrust force, and the demands these place on tools and machines. It then surveys experimental and statistical work on cutting force, surface roughness and integrity, and tool wear, with emphasis on CBN, ceramic and coated-carbide tools cutting bearing, die, alloy and high-speed tool steels (AISI 52100, H13, D2, 4340 and M2). The optimization methods most used in this field are compared in terms of their assumptions, data needs and limitations: Taguchi designs with signal-to-noise ratios and ANOVA, response surface methodology (RSM) with desirability functions, multi-criteria methods such as grey relational analysis, TOPSIS and WASPAS, and neural-network and other machine-learning models. Across the literature, feed rate and nose radius usually dominate surface roughness, while workpiece hardness, feed and depth of cut dominate forces; however, reported rankings vary with tool, material and the tested parameter window, and for AISI M2 at 62–64 HRC cutting speed has been found to lead for both force and roughness. A synthesis section explains why such rankings conflict and how studies can be made more comparable. The review closes with research gaps, including the scarcity of tool-wear-aware and integrity-aware optimization, limited data on very hard (above 60 HRC) high-speed steels, the need for in-process monitoring and hybrid physics–data models, and better statistical and reporting practice.
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