Fabrication and experimental study on optimization of process parameters for drilling of GFRP with iron ore as filler material using Taguchi and ANOVA

Vithal Rao Chauhan; K. R. Dinesh; Pavan Hiremath; Manjunath Shettar; K. Veeresh; Veerabhadrappa Algur

Fabrication and experimental study on optimization of process parameters for drilling of GFRP with iron ore as filler material using Taguchi and ANOVA

Vithal Rao Chauhan, K. R. Dinesh, Pavan Hiremath, Manjunath Shettar, K. Veeresh, Veerabhadrappa Algur

Research output: Contribution to journal › Article › peer-review

Abstract

This paper represents the study of drilling characteristics on hybrid composite using conventional twist drill. Drill tool dynamometer has been utilized to measure the thrust force and torque. L16 orthogonal array has been selected for the study and experiments have been carried out on the bases of the selected orthogonal array. The ANOVA have been deployed to study the influence of process parameters on the thrust force and torque. Regression equations have been formulated for estimating the predicted values of the thrust force and torque.

Original language	English
Pages (from-to)	43195-43198
Number of pages	4
Journal	International Journal of Applied Engineering Research
Volume	10
Issue number	22
Publication status	Published - 01-01-2015

All Science Journal Classification (ASJC) codes

Engineering(all)

Cite this

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title = "Fabrication and experimental study on optimization of process parameters for drilling of GFRP with iron ore as filler material using Taguchi and ANOVA",

abstract = "This paper represents the study of drilling characteristics on hybrid composite using conventional twist drill. Drill tool dynamometer has been utilized to measure the thrust force and torque. L16 orthogonal array has been selected for the study and experiments have been carried out on the bases of the selected orthogonal array. The ANOVA have been deployed to study the influence of process parameters on the thrust force and torque. Regression equations have been formulated for estimating the predicted values of the thrust force and torque.",

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Fabrication and experimental study on optimization of process parameters for drilling of GFRP with iron ore as filler material using Taguchi and ANOVA. / Chauhan, Vithal Rao; Dinesh, K. R.; Hiremath, Pavan et al.

In: International Journal of Applied Engineering Research, Vol. 10, No. 22, 01.01.2015, p. 43195-43198.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Fabrication and experimental study on optimization of process parameters for drilling of GFRP with iron ore as filler material using Taguchi and ANOVA

AU - Chauhan, Vithal Rao

AU - Dinesh, K. R.

AU - Hiremath, Pavan

AU - Shettar, Manjunath

AU - Veeresh, K.

AU - Algur, Veerabhadrappa

PY - 2015/1/1

Y1 - 2015/1/1

N2 - This paper represents the study of drilling characteristics on hybrid composite using conventional twist drill. Drill tool dynamometer has been utilized to measure the thrust force and torque. L16 orthogonal array has been selected for the study and experiments have been carried out on the bases of the selected orthogonal array. The ANOVA have been deployed to study the influence of process parameters on the thrust force and torque. Regression equations have been formulated for estimating the predicted values of the thrust force and torque.

AB - This paper represents the study of drilling characteristics on hybrid composite using conventional twist drill. Drill tool dynamometer has been utilized to measure the thrust force and torque. L16 orthogonal array has been selected for the study and experiments have been carried out on the bases of the selected orthogonal array. The ANOVA have been deployed to study the influence of process parameters on the thrust force and torque. Regression equations have been formulated for estimating the predicted values of the thrust force and torque.

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Fabrication and experimental study on optimization of process parameters for drilling of GFRP with iron ore as filler material using Taguchi and ANOVA

Abstract

All Science Journal Classification (ASJC) codes

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