• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2018, Vol. 54 ›› Issue (15): 232-240.doi: 10.3901/JME.2018.15.232

Previous Articles    

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

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

CLC Number: