Prediction and Optimization of Tool Life in Micromilling AISI D2 (~62 HRC) Hardened Steel

Juri Saedon, Sein Soo, David Aspinwall, A. Barnacle, Nor Saad

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)
277 Downloads (Pure)

Abstract

This paper presents a study for the development the first and second order tool life models of micromilling hardened tool steel AISI D2 62
HRC. The models were developed in terms of cutting speed, feed per tooth and depth of cut, using response surface methodology. Central
composite design (CCD) was employed in developing the tool life model in relation to independent variables as primary cutting
parameters. All of the cutting tests were performed within specified ranges of parameters using ∅0.5 mm TiAlN microtools under dry
condition. Tool life and dual-response contours of metal removal rate have been generated from these model equations. Tool life equation
shows that cutting speed is the main influencing factor on the tool life, followed by feed per tooth and depth of cut. The results were
presented in terms of mean values and confidence levels. The adequacy of the predictive model was verified using analysis of variance
(ANOVA) at 5% significant level and found to be adequate.
Original languageEnglish
Pages (from-to)1674-1683
Number of pages10
JournalProcedia Engineering
Volume41
DOIs
Publication statusPublished - 2012

Fingerprint

Dive into the research topics of 'Prediction and Optimization of Tool Life in Micromilling AISI D2 (~62 HRC) Hardened Steel'. Together they form a unique fingerprint.

Cite this