Influence of cutting environments on surface integrity and power consumption of austenitic stainless steel

Patricia Munoz De Escalona, A. Shokrani, S.T. Newman

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)
79 Downloads (Pure)

Abstract

Surface roughness is a result of the cutting parameters such as: cutting speed, feed per tooth and the axial depth of cut, also the tool’s geometry, tool’s wear vibrations, etc. Moreover, the surface finish influences mechanical properties such as fatigue behaviour, wear, corrosion, lubrication and electrical conductivity and the combination of cutting parameters influence the power consumption during the machining process affecting the environment. The research reported herein is focused mainly on searching for an optimum combination of cutting parameters to obtain a low value of surface roughness and minimize energy consumption when milling an austenitic stainless steel in different cutting environments. The experiments were conducted on a Siemens 840D Bridgeport Vertical Machining Centre 610XP2. The selection of this workpiece material was based on it’s widely applications in cutlery, surgical instruments, industrial equipment and in the automotive and aerospace industry due to its high corrosion resistance and high strength characteristics. The results show that the dry cutting environment is the best option in terms of power consumption and surface roughness values to conduct the milling of an austenitic stainless steel under the selected cutting parameters.
Original languageEnglish
Pages (from-to)60-69
Number of pages10
JournalRobotics and Computer Integrated Manufacturing
Volume36
Early online date16 Feb 2015
DOIs
Publication statusPublished - Dec 2015

Keywords

  • cutting environment
  • stainless steel
  • surface integrity
  • milling
  • power consumption

Fingerprint

Dive into the research topics of 'Influence of cutting environments on surface integrity and power consumption of austenitic stainless steel'. Together they form a unique fingerprint.

Cite this