A surface roughness and power consumption analysis when slot milling austenitic stainless steel in a dry cutting environment

Patricia Muñoz-Escalona, Alborz Shokrani, Vimal Dhokia, Reza Imani-Asrai, Stephen T. Newman*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Engineered components must satisfy the surface texture requirements and traditionally surface roughness (arithmetic average, Ra) has been used as one of the principles methods to assess quality. 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 wear vibrations, etc. Moreover, the surface finish influences the mechanical properties such as fatigue behavior, wear, corrosion, lubrication, and electrical conductivity. The research reported herein is focused mainly on surface roughness and power consumption analysis of an austenitic stainless steel milled in a dry cutting environment. The experiments were conducted on a Siemens 840D Bridgeport Vertical Machining center 610XP2. The selection of this workpiece material was based on it’s widely applications in cutlery, hardware, 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 selection of a careful combination of cutting parameters can achieve low values of surface roughness and power consumption instead of changing the cutting parameters individually.

Original languageEnglish
Title of host publicationAdvances in Sustainable and Competitive Manufacturing Systems: 23rd International Conference on Flexible Automation & Intelligent Manufacturing
PublisherSpringer Nature
Pages637-649
Number of pages13
ISBN (Electronic)9783319005577
ISBN (Print)9783319005560
DOIs
Publication statusPublished - 25 Jun 2013
Externally publishedYes
Event23rd International Conference on Flexible Automation & Intelligent Manufacturing - Porto, Portugal
Duration: 26 Jun 201328 Jun 2013

Publication series

NameLecture Notes in Mechanical Engineering
Volume7
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference23rd International Conference on Flexible Automation & Intelligent Manufacturing
Abbreviated titleFAIM 2013
Country/TerritoryPortugal
CityPorto
Period26/06/1328/06/13

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

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