金刚石与磨料磨具工程2025，Vol.45Issue(6)：794-806,13.DOI:10.13394/j.cnki.jgszz.2024.0168
GH4169镍基高温合金用车削刀具表面的微凹坑织构参数分析及优化
Analysis and optimization of micro-pit texture parameters on surface of turning tool for GH4169 nickel-based superalloy
摘要
Abstract
Objectives:GH4169 nickel-based high-temperature alloy is widely used in aerospace and energy equip-ment fields due to its excellent high-temperature resistance and corrosion resistance,but its difficult-to-machine charac-teristics lead to high cutting force and short tool life.The use of traditional cutting fluids poses environmental and health risks,while dry machining would exacerbate tool wear.To explore the influence of tool surface micro-pit parameters on tool cutting performance during dry turning of GH4169 nickel-based high-temperature alloy,cBN tools with micro-pit texture on the surface are used for cutting.The influences of micro-pit texture diameter(A),texture spacing(B),texture depth(C)and cutting edge margin(D)on the average main cutting force,average temperature of the rake face,and aver-age stress of the rake face are systematically analyzed to optimize the combination of micro-pit texture parameters and improve tool life and machining accuracy.Methods:The Johnson-Cook constitutive model is used to describe the plastic deformation behavior of the workpiece material under high strain rate and high temperature conditions,and the Johnson-Cook damage criterion is used to describe the material failure behavior under high strain and high strain rate conditions.Combined with the physical performance parameters of GH4169 nickel-based high-temperature alloy and cBN cutting tools,ABAQUS is used to construct a turning simulation environment for the material,and the micro-pit texture structure and the distribution range on the surface of CBN cutting tools are designed.An L16(45)orthogonal ex-periment is designed under the conditions of A ranging from 40 to 70 μm,B ranging from 100 to 160 μm,C ranging from 10 to 40 μm,and D ranging from 60 to 120 μm to explore the influences of four factors on the three evaluation in-dicators of average main cutting force,average temperature and average stress of the rake face.Meanwhile,range ana-lysis is adopted to determine the primary and secondary order of the factors,and the comprehensive balance method is combined to integrate the optimization results of multiple indicators to obtain the optimal parameter combination applic-able to the three evaluation indicators.Results:The micro-pit texture of the cutting tool can significantly improve its cutting performance.The average main cutting force of the textured tool is lower than that of the non-textured tool.The order of the primary and secondary factors affecting the main cutting force is B>C>D>A,and the texture parameter combination with the smallest average main cutting force is A4B2C2D3.Moreover,during the cutting process of the micro-pit textured tool,derivative cutting also occurs.Its horizontal decomposition force Fn weakens the influence of the micro-pit texture on the main cutting force,and even increases the main cutting force.The average temperature of the rake face of the textured tools is lower than that of the non-textured tools.The order of the primary and secondary factors affect-ing the average temperature of the f rake face is A>B>D>C,and the texture parameter combination with the lowest average temperature is A4B2C4D2.Meanwhile,the stress of the non-textured tool is relatively concentrated,while the ex-istence of micro-textures improves the stress distribution of the tools,thereby reducing the maximum stress.The optim-al parameter combination for the three evaluation indicators of the cutting tool determined by the comprehensive bal-ance method is A4B2C2D3,that is,the texture diameter is 70 μm,the texture spacing is 120 μm,the texture depth is 20 μm,and the cutting edge margin is 100 μm.This textured tool is labeled D-17.Verification shows that the average main cutting force of the D-17 tool is 105 N,the average temperature of the rake face is 40.81℃and the average stress is 2.27 MPa,which are 5.41%,18.17%and 30.15%lower than those of the non-textured tool of 111 N,49.87℃and 3.25 MPa,respectively.In addition,the D-17 tool has a lower contact position and smaller contact area,resulting in thinner chip thickness during cutting,and the chip morphology changes from a non textured strip to a serrated shape.The average surface roughness Ra of the processed workpiece decreases by 6.6 µm,the root mean square roughness Rq decreases by 6.6 µm,and the peak-to-valley roughness Rz is reduced by 18.6 µm.Therefore,the optimized parameter combination of textured cutting tools effectively controls the fluctuation amplitude and peak value of residual stress.Conclusions:By adjusting the texture diameter,texture spacing,texture depth and cutting edge margin of the micro-pit texture on the cutting tool,the average main cutting force,average temperature and average stress on the rake face dur-ing the cutting process can be effectively reduced.Micro-pit textures with reasonable parameters can reduce the contact area between the tool and the chip,promote chip removal,and thereby reduce the generation of friction,force and heat.Simultaneously improving the stress distribution of the cutting tool reduces local stress concentration and significantly enhances the cutting performance of the cutting tool.By comparing the cutting performance of the D-17 tool and non-textured tools,it is found that the D-17 tool has significant effects in reducing the average main cutting force,average temperature and average stress of the rake surface,and in reducing the residual stress fluctuation amplitude,peak value and surface roughness of the machined surface of the workpiece,effectively improving the machining accuracy of the workpiece.关键词
镍基高温合金/微凹坑织构/切削性能/极差分析/综合平衡法Key words
nickel-based high-temperature alloys/micro-pit texture/cutting performance/range analysis/comprehens-ive balance method分类
矿业与冶金引用本文复制引用
岳善廓,何艳,宋淑媛,凡林,唐美玲,孙静婷..GH4169镍基高温合金用车削刀具表面的微凹坑织构参数分析及优化[J].金刚石与磨料磨具工程,2025,45(6):794-806,13.基金项目
辽宁省博士科研启动基金计划项目(2022-BS-292) （2022-BS-292）
辽宁省教育厅基本科研项目-青年科学家项目(LJ212410148026) （LJ212410148026）
辽宁省教育厅科学技术研究项目(LJKZ0387) （LJKZ0387）
辽宁石油化工大学引进人才科研启动基金(2020XJJL-012). （2020XJJL-012）
