Optimization of Surface Roughness and Vibration During Thermal—Assisted Milling SKD11 Steel Using Taguchi Method

  • Thi-Bich Mac
  • Banh Tien Long
  • Duc-Toan NguyenEmail author
Conference paper
Part of the Springer Proceedings in Materials book series (SPM, volume 6)


This chapter used the Taguchi experimental design method in order to study the surface roughness and vibration during thermal-assisted milling of SKD11 steel. The effect of cutting parameters such as cutting speed, feed rate, cutting depth and support elevated temperatures on the output data were evaluated. Multi-objective optimization for minimum both surface roughness and vibration was also estimated to improve the cutting process. The optimal set of control parameters to achieve the minimum of surface roughness and vibration amplitude could be obtained as Vc = 280 m/min, f = 230 mm/min, t = 0.5 mm, T = 400 °C.



This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 107.02-2019.300.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Thi-Bich Mac
    • 1
  • Banh Tien Long
    • 2
  • Duc-Toan Nguyen
    • 2
    Email author
  1. 1.Department of Mechanical EngineeringHung Yen University of Technology and EducationHung YenVietnam
  2. 2.School of Mechanical EngineeringHanoi University of Science and TechnologyHanoiVietnam

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