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<p>Derivative cutting of the flank face of tools may enhance the quality of the workpiece, attributed to its ability to remove the micro defects on the machined surface. Varying the degree to which derivative cutting occurs may adjust the quality of the machined surface. In this study, a prediction model is proposed to reveal the mechanism of derivative cutting of flank face, with the full consideration of the texture parameters and basic machining parameters. A series of cutting experiments were performed to validate the prediction model at different cutting velocities. Subsequently, the responses of the derivative cutting to the texture parameters and basic machining parameters are quantified. The results show that raising the cutting depth from 0.05 to 0.2&#xa0;mm can increase the thickness of derivative cutting (<InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="170_2025_16424_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="43" /> </InlineMediaObject> <EquationSource Format="TEX">\(TDC\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="italic">TDC</mi> </mrow> </math></EquationSource> </InlineEquation>) from 0.24 to 0.87&#xa0;μm at 240&#xa0;m/min, leading to the removal of the strain-hardening layer caused by grain refinement at high cutting velocity. Furthermore, minimizing the radius of the bottom edge of the texture, enlarging the micro-texture width, and decreasing the distance from the micro-texture to the main cutting edge are feasible ways to achieve intensive derivative cutting. The prediction model is critical to the preparation of high-performance micro-textured cutting tools and the improvement of surface integrity in precision components.</p>

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Derivative cutting prediction model for flank-faced textured tools

  • 期刊论文

  • 发表日期：

    2025年8月27日

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  • Jinxin Sun,
  • Ran Duan,
  • Quanjing Wang,
  • Hui Chen,
  • Shenghui Ye

摘要

Derivative cutting of the flank face of tools may enhance the quality of the workpiece, attributed to its ability to remove the micro defects on the machined surface. Varying the degree to which derivative cutting occurs may adjust the quality of the machined surface. In this study, a prediction model is proposed to reveal the mechanism of derivative cutting of flank face, with the full consideration of the texture parameters and basic machining parameters. A series of cutting experiments were performed to validate the prediction model at different cutting velocities. Subsequently, the responses of the derivative cutting to the texture parameters and basic machining parameters are quantified. The results show that raising the cutting depth from 0.05 to 0.2 mm can increase the thickness of derivative cutting ( \(TDC\) TDC ) from 0.24 to 0.87 μm at 240 m/min, leading to the removal of the strain-hardening layer caused by grain refinement at high cutting velocity. Furthermore, minimizing the radius of the bottom edge of the texture, enlarging the micro-texture width, and decreasing the distance from the micro-texture to the main cutting edge are feasible ways to achieve intensive derivative cutting. The prediction model is critical to the preparation of high-performance micro-textured cutting tools and the improvement of surface integrity in precision components.