i-manager Publications

Experimental and Optimum Process Parameter of Single Point Cutting Tool with Taguchi Method

Purushottam Kumar Sahu*, Smith Batham**

*-** Department of Mechanical Engineering, BM College of Technology, Indore, Madhya Pradesh, India.

Periodicity:February - April'2020
DOI : https://doi.org/10.26634/jfet.15.3.17045

Abstract

The purpose of this study is to numerically simulate the method in real-time settings with Finite Element Method (FEM) specific computer code. Three input factors (depth of cut, cutting speed and experimental temp) and two reactions (stress and strain) are chosen for the simulation work. The Design of experiments (DOE) technique, Taguchi is used to make connections between factors and reactions. Surface response method is used for this study using MINITAB software to apply regression modelling to develop the relationship between input parameters and output results in the form of linear model equations based on regression modelling that identifies the least or important input factors. Noise analysis is indicated to predict the effect of change of factors according to their level in order to detect the effect on product quality. From the experimental results it is found that as the depth of cut increases, the temperature generated inside the tool on the device tip also increases.

Keywords

Simulation, Design of Experiments, Regression Modelling, Taguchi, Noise Analysis.

How to Cite this Article?

Sahu, P. K., and Batham, S. (2020). Experimental and Optimum Process Parameter of Single Point Cutting Tool with Taguchi Method. i-manager’s Journal on Future Engineering and Technology , 15(3), 38-43. https://doi.org/10.26634/jfet.15.3.17045

References

[1]. Abhang, L. B., & Hameedullah, M. (2010). Chip-tool interface temperature prediction model for turning process. International Journal of Engineering Science and Technology, 2(4), 382-393.

[2]. Bhoyar, Y. R., & Kamble, P. D. (2013). Finite element analysis on the temperature distribution in the bend process using distorted 3D. International Journal of Research in Engineering and Technology, 2319–2322.

[3]. Brito, F. R., De Carvalho, S. R., & Ferreira, J. R. (2009). Thermal analysis in coated cutting tools. International Communications in Heat and Mass Transfer, 36(4), 314-321.

[4]. Fnides, B., Yallese, M. A., & Aouici, H. (2008). Hard turning of hot work steel AISI H11: Evaluation of cutting pressures, resulting force and temperature. Mechanics, 72(4), 59-63.

[5]. Jam, J. E., & Fard, V. N. (2011). A novel method to determine tool-chip thermal contact conductance in machining. International Journal of Engineering Science and Technology, 3(12), 8491-8501.

[6]. Lathwal, D., & Bhardwaj, M. D. (2013). Study and analysis of single point cutting tool under variable rake angle. International Journal for Research in Applied Science and Engineering Technology, 1(1), 34-42.

[7]. Rathod, S. H., & Razik, M. (2014). Finite Element Analysis of Single Point Cutting Tool. International Journal of Modern Engineering Research (IJMER), 4(3), 12-19.

[8]. Zhang, S., & Liu, Z. (2008). An analytical model for transient temperature distributions in coated carbide cutting tools. International Communications in Heat and Mass Transfer, 35(10), 1311-1315.

Experimental and Optimum Process Parameter of Single Point Cutting Tool with Taguchi Method

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content:

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25