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Experimental study of micromilling burrs of 304 stainless steel

  • Qiulian Sun
  • Xiang ChengEmail author
  • Guoyong Zhao
  • Xianhai Yang
  • Guangming Zheng
ORIGINAL ARTICLE
  • 80 Downloads

Abstract

Stainless steel is a well-known difficult-to-machine material with high toughness, low thermal conductivity, and high work hardening characteristics. Burrs generated in micromilling of the stainless steel seriously affect the performances of the fabricated high-accuracy miniaturized geometrical features. Aiming at reasonable control of burrs in micromilling of the 304 austenitic stainless steel, single-factor analyses, multi-factor optimization, and further post processing procedures are introduced in the paper. First, the axial depth of cut ap, feed per tooth fz, spindle speed n, and radial depth of cut ae are investigated by single-factor micromilling experiments. It shows that burrs generated in up milling are smaller than that in down milling. The minimum burr widths of 171.93 μm can be achieved, and the overall trend of micromilling force is in accordance with the burr widths. Then, multi-factor orthogonal experiments have been carried out to optimize micromilling parameters based on the Taguchi method. It shows that the significance sequence of key parameters for burr widths from large to small is ap, n, ae, and fz. The optimized minimum burr width is 83.69 μm with micromilling parameters ap of 45 μm, fz of 1.0 μm/z, n of 48,000 min−1, and ae of 200 μm. To further reduce the burrs, ap of 0 is set for post processing experiments. It shows that the radial depth of cut affects burr sizes greatly. The optimized radial depth of cut is 500 μm, and burr widths have been finally reduced to 14.3 μm. The study provides an effective method to reduce burr sizes in micromilling of very ductile materials.

Keywords

Micromilling Burr Optimization Taguchi method Stainless steel 

Notes

Funding information

The paper is financially supported by the Nature Science Foundation of Shandong Province with the grant number of ZR2015EL023, the Nature Science Foundation of China with the grant number of 51505264, and the SDUT & Zibo City Integration Development Project with the grant number of 2017ZBXC189.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Qiulian Sun
    • 1
  • Xiang Cheng
    • 1
    Email author
  • Guoyong Zhao
    • 1
  • Xianhai Yang
    • 1
  • Guangming Zheng
    • 1
  1. 1.School of Mechanical EngineeringShandong University of TechnologyZiboChina

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