Periodicity.: April - June 2017
e-ISSN......: 2236-269X
Cover Image

Optimum combination of process parameters to optimize Surface Roughness and Chip Thickness during End Milling of Aluminium 6351-T6 Alloy Using Taguchi Grey Relational Analysis

Reddy Sreenivasulu

Abstract


In any machining operations, quality is the important conflicting objective. In order to give assurance for high productivity, some extent of quality has to be compromised. Similarly productivity will be decreased while the efforts are channelized to enhance quality. In this study,  the experiments were carried out on a CNC vertical machining center (KENT and INDIA Co. Ltd, Taiwan make) to perform 10mm slots on Al 6351-T6 alloy work piece by K10 carbide, four flute end milling cutter as per taguchi design of experiments plan by L9 orthogonal array was choosen to determine experimental trials. Furthermore the spindle speed (rpm), the feed rate (mm/min) and depth of cut (mm) are regulated in these experiments. Surface roughness and chip thickness was measured by a surface analyser of Surf Test-211 series (Mitutoyo) and Digital Micrometer (Mitutoyo) with least count 0.001 mm respectively. Grey relational analysis was employed to minimize surface roughness and chip thickness by setting of optimum combination of machining parameters. Minimum surface roughness and chip thickness obtained with 1000 rpm of spindle speed, 50 mm/min feed rate and 0.7 mm depth of cut respectively. Confirmation experiments showed that Gray relational analysis precisely optimized the drilling parameters in drilling of Al 6351-T6 alloy. 


Keywords


Al 6351-T6 alloy; Surface roughness; Chip thickness; Grey relational analysis

Full Text:

PDF HTML

References


AHMAD, S.; SHARMA, H. K.; MITTAL, A. (2014) Process Parametric Optimization of CNC Vertical Milling Machine Using ANOVA Method in Mild Steel – A Review, International Journal of Engineering Sciences & Research Technology, v. 3, n. 7, p. 137-146.

BARMAN, T. K.; SAHOO, P. (2009) Fractal dimension modeling in CNC milling using taguchi method, Proceedings of the International Conference on Mechanical Engineering 2009 (ICME2009), 26-28 December, Dhaka, Bangladesh

CHAWALE, S. B.; BHOYAR, V. V.; GHAWADE, P. S.; KATHOKE, T. B. (2013) Effect of Machining Parameters on Temperature at Cutter-Work Piece Interface in Milling, International Journal of Engineering and Innovative Technology (IJEIT), v. 2, n. 12, p. 85-88, June.

DUBEY, A.; PATHAK, D.; CHANDRA, N.; MISHRA, R. N.; DAVIS, R. (2008) A Parametric Design Study of End Milling Operation using Grey Based Taguchi Method, International Journal of Emerging Technology and Advanced Engineering, v. 4, n. 4, April.

JOSHI, A.; KOTHIYAL, P. (2013) Investigating effect of machining parameters of CNC milling on surface finish by taguchi method. International Journal on Theoretical and Applied Research in Mechanical Engineering, v. 2, n. 2, p. 113-119.

KUMAR, J. P.; THIRUMURUGAN, K. ( 2012) Optimization of machining parameters for Milling titanium using taguchi method, International Journal of Advanced Engineering Technology, v. III, n. II, April-June, p. 108-113.

NAIR, A.; GOVINDAN, P. (2013) Optimization of CNC end milling of brass using hybrid taguchi method using PCA and grey relational analysis, International Journal of Mechanical and Production Engineering Research and Development (IJMPERD), v. 3, n. 1, Mar, p. 227-240.

PANDEY, P.; SINHA, P. K.; KUMAR, V.; TIWARI, M. (2013) Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi Technique in Varying Condition IOSR, Journal of Mechanical and Civil Engineering, v. 6, n. 5, p. 34-42.

PERIYANAN, P. R.; NATARAJAN, U.; YANG, S. H. (2011) A study on the machining parameters optimization of micro-end milling process, International Journal of Engineering, Science and Technology, v. 3, n. 6, p. 237-246

SREENIVASULU, R.; RAO, C. S. (2012) Application of Gray Relational Analysis for Surface Roughness and Roundness Error in Drilling of Al 6061 alloy, International Journal of Lean Thinking, v. 3, n. 2, p. 67-78, December.

SREENIVASULU, R. (2014) Multi response characteristics of process Parameters during end milling of GFRP using grey based Taguchi method, Independent Journal of Management & Production, v. 5, n. 2, p. 299-313.




DOI: http://dx.doi.org/10.14807/ijmp.v8i2.546

Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 Reddy Sreenivasulu

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

LIBRARIES BY

Logo Gaudeamus

Logo INDIANA

Logo CHENG KUNG

Logo UTEP

Logo MOBIUS

Logo UNIVEM

Logo Kennedy

Logo Columbia

Logo UCS

Logo MSG/UFF

Logo OPT

Logo Biblioteca Professor Milton Cabral Moreira

Logo UFL

Logo ULRICHSWEB

Logo UNISA