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

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

doi:10.1016/j.proeng.2012.07.367

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

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

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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 language	English
Pages (from-to)	1674-1683
Number of pages	10
Journal	Procedia Engineering
Volume	41
DOIs	https://doi.org/10.1016/j.proeng.2012.07.367
Publication status	Published - 2012

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

abstract = "This paper presents a study for the development the first and second order tool life models of micromilling hardened tool steel AISI D2 62HRC. The models were developed in terms of cutting speed, feed per tooth and depth of cut, using response surface methodology. Centralcomposite design (CCD) was employed in developing the tool life model in relation to independent variables as primary cuttingparameters. All of the cutting tests were performed within specified ranges of parameters using ∅0.5 mm TiAlN microtools under drycondition. Tool life and dual-response contours of metal removal rate have been generated from these model equations. Tool life equationshows that cutting speed is the main influencing factor on the tool life, followed by feed per tooth and depth of cut. The results werepresented 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.",

author = "Juri Saedon and Sein Soo and David Aspinwall and A. Barnacle and Nor Saad",

year = "2012",

doi = "10.1016/j.proeng.2012.07.367",

language = "English",

volume = "41",

pages = "1674--1683",

journal = "Procedia Engineering",

issn = "1877-7058",

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T1 - Prediction and Optimization of Tool Life in Micromilling AISI D2 (~62 HRC) Hardened Steel

AU - Saedon, Juri

AU - Soo, Sein

AU - Aspinwall, David

AU - Barnacle, A.

AU - Saad, Nor

PY - 2012

Y1 - 2012

N2 - This paper presents a study for the development the first and second order tool life models of micromilling hardened tool steel AISI D2 62HRC. The models were developed in terms of cutting speed, feed per tooth and depth of cut, using response surface methodology. Centralcomposite design (CCD) was employed in developing the tool life model in relation to independent variables as primary cuttingparameters. All of the cutting tests were performed within specified ranges of parameters using ∅0.5 mm TiAlN microtools under drycondition. Tool life and dual-response contours of metal removal rate have been generated from these model equations. Tool life equationshows that cutting speed is the main influencing factor on the tool life, followed by feed per tooth and depth of cut. The results werepresented 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.

AB - This paper presents a study for the development the first and second order tool life models of micromilling hardened tool steel AISI D2 62HRC. The models were developed in terms of cutting speed, feed per tooth and depth of cut, using response surface methodology. Centralcomposite design (CCD) was employed in developing the tool life model in relation to independent variables as primary cuttingparameters. All of the cutting tests were performed within specified ranges of parameters using ∅0.5 mm TiAlN microtools under drycondition. Tool life and dual-response contours of metal removal rate have been generated from these model equations. Tool life equationshows that cutting speed is the main influencing factor on the tool life, followed by feed per tooth and depth of cut. The results werepresented 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.

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DO - 10.1016/j.proeng.2012.07.367

M3 - Article

SN - 1877-7058

VL - 41

SP - 1674

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JO - Procedia Engineering

JF - Procedia Engineering

ER -

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

Abstract

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