• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (15): 232-240.doi: 10.3901/JME.2018.15.232

• 制造工艺与装备 • 上一篇    

硬质合金微坑车刀切削304不锈钢时的表面粗糙度研究

袁森1,2, 何林1,3, 占刚1, 蒋宏婉2, 邹中妃1   

  1. 1. 贵州大学机械工程学院 贵阳 550025;
    2. 贵州理工学院机械工程学院 贵阳 550003;
    3. 六盘水师范学院 六盘水 550018
  • 收稿日期:2017-10-03 修回日期:2018-05-11 出版日期:2018-08-05 发布日期:2018-08-05
  • 通讯作者: 何林(通信作者),男,1965年出生,博士,教授,博士研究生导师。主要研究方向为先进制造技术、刀具设计与摩擦学理论。E-mail:helin6568@163.com
  • 作者简介:袁森,男,1974年出生,副教授、博士研究生。主要研究方向为先进制造技术。E-mail:syuan@gzu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(51765009,51665007)。

Research on Surface Roughness of 304 Stainless Steel Cut by Cemented Carbide Micro Pit Tool

YUAN Sen1,2, HE Lin1,3, ZHAN Gang1, JIANG Hongwan2, ZOU Zhongfei1   

  1. 1. College of Mechanical Engineering, Guizhou University, Guiyang 550025;
    2. School of Mechanical Engineering, Guizhou Institute of Technology, Guiyang 550003;
    3. Liupanshui Normal College, Liupanshui 550018
  • Received:2017-10-03 Revised:2018-05-11 Online:2018-08-05 Published:2018-08-05

摘要: 304不锈钢因其良好的工作性能和难加工性,成为金属切削加工领域的研究热点尤其是良好的加工表面质量的获取及其控制广受业界关注。基于自主研发的切削性能良好的304不锈钢专用硬质合金微坑车刀,重点研究该微坑车刀切削304不锈钢表面粗糙度的特性。通过对比试验,研究原车刀和微坑车刀切削304不锈钢棒料时的表面粗糙度变化,揭示出微坑车刀切削304不锈钢的表面粗糙度降低机理。利用响应曲面试验,分析切削参数对表面粗糙度的单因素和交互影响规律,建立微坑车刀表面粗糙度预测模型。研究结果表明,微坑车刀相比较普通车刀在切削过程中具有较小的切削力,是导致微坑车刀加工304不锈钢表面粗糙度较低的主要原因;所建立的表面粗糙度预测模型具有较高可靠性,可用于切削参数优化;获得的优选切削参数方案,与实际生产推荐的参数相比,在优选切削参数下获得的表面粗糙度降幅达42.47%。

关键词: 304不锈钢, 表面粗糙度, 微坑车刀, 预测模型

Abstract: Because of its service excellent performance and difficult processing, the 304 stainless steel has always been a hot research spot, especially on the acquirement and control of its good surface quality for processing. In order to study the characteristics of surface roughness of 304 stainless steel cut by self designed micro pit turning tool, It discussed the comparison experimental study on the surface roughness of 304 stainless steel bar cut by the common turning tool and micro pit turning tool respectively, and the mechanism of surface roughness reduction cut by micro pit turning tool is explained. By response surface experiments, the prediction model of surface roughness is established; the single factor and interaction effect of cutting parameters on the surface roughness is analyzed. The results show that the cutting force of micro pit turning tool is lower than that of common turning tool in the cutting process, which is the main reason for reducing the surface roughness. The surface roughness prediction model is with good reliability, the optimized cutting parameters acquired in the experiment can decrease the surface roughness by a percentage of up to 42.47% compared to the practical cutting parameters. Key word:micro pit turning tool;surface roughness;prediction model;304 stainless steel

Key words: 304 stainless steel, micro pit turning tool, prediction model, surface roughness

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