An experimental study on mql assisted high speed machining of niti shape memory alloy

Terence Miller, Kapil Gupta, Rudolph Laubscher

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Nickel Titanium (NiTi) shape memory alloy is a prominent material for biomedical implants. Machining of shape memory alloy is challenging and requires intervention of sustainable techniques to produce quality products with minimum environmental footprints. This paper details the results of experimental investigation conducted on MQL assisted high speed machining of shape memory alloys. It reports the effect of MQL parameters on surface roughness and tool wear during turning (at speed 90 m/min) of NiTi shape memory alloy. Experiments are conducted based on Taguchi’s robust design of experiment technique with L9 orthogonal array. A rhomboid-shaped simple carbide tool is selected for experimentation. Green lubricant which is a blend of natural, synthetic and sulphurized esters is used as MQL fluid. The three important MQL parameters of flow rate, air pressure and nozzle distance are each varied at 3 levels. Parameters are optimized to secure the optimum combination producing best surface finish (Ra~1.39µm) and tool flank wear 1.6 mm.

Original languageEnglish
Title of host publicationAdvances in Manufacturing Technology XXXII - Proceedings of the 16th International Conference on Manufacturing Research, ICMR 2018, incorporating the 33rd National Conference on Manufacturing Research
EditorsPeter Thorvald, Keith Case
PublisherIOS Press BV
Pages80-85
Number of pages6
ISBN (Electronic)9781614994398
DOIs
Publication statusPublished - 2018
Event16th International Conference on Manufacturing Research, ICMR 2018 - Skovde, Sweden
Duration: 11 Sept 201813 Sept 2018

Publication series

NameAdvances in Transdisciplinary Engineering
Volume8
ISSN (Print)2352-751X
ISSN (Electronic)2352-7528

Conference

Conference16th International Conference on Manufacturing Research, ICMR 2018
Country/TerritorySweden
CitySkovde
Period11/09/1813/09/18

Keywords

  • MQL
  • Machinability
  • Shape memory alloy Sustainability
  • Tool wear

ASJC Scopus subject areas

  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Software
  • Algebra and Number Theory
  • Strategy and Management

Fingerprint

Dive into the research topics of 'An experimental study on mql assisted high speed machining of niti shape memory alloy'. Together they form a unique fingerprint.

Cite this