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Optimizing Finishing Process in Wedming of Titanium Alloy (Ti6Al4V) by Zinc Coated Brass Wire Based on Response Surface Methodology


Affiliations
1 Faculty of Mechanical Engineering, Universiti Teknologi Malaysia 81310 Skudai, Johor, Malaysia
2 Faculty of Mechanical Engineering, Universiti Putra Malaysia, 43300, Serdang, Selangor, Malaysia
3 5Department of Mechanical, Islamic Azad University, Khomeini shahr Branch, Isfahan, Iran, Islamic Republic of
 

Determining the optimal cutting parameters has always been a critical matter to achieve high performance in different type of machining. In this study the behaviour of three control parameters base on Design of Experiment (DOE) method during WEDM of titanium alloy (Ti6Al4V) is experimentally studied. A zinc coated brass wire of 0.25mm diameter was used as tool electrode to cut the specimen. Analysis of variance (ANOVA) technique was used to find out the parameters affecting the surface roughness (SR), material removal rate (MRR) and sparking gap (SG). Assumptions of ANOVA were discussed and carefully examined using analysis of residuals. This work has been established as a second-order mathematical model based on the response surface methodology (RSM).The residual analysis and confirmation runs indicate that the proposed models could adequately describe the performance of the factors those are being investigated. The results are particularly useful for scientists and engineers to determine which subset of the process variable has the maximum influence on the process performance.

Keywords

WEDM Machining, Taguchi Method, ANOVA, Finishing, Zinc Coated Wire
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  • Aspinwall DK, Soo SL, Berrisford AE and Walder G(2008) Workpiece surface roughness and integrity after WEDM of Ti–6Al–4V and Inconel 718 using minimum damage generator technology. CIRP Annals – Manuf. Technol. 57, 187–190.

  • Boyer HE and Gall TL (1985) Metals Handbook. American Society for Metals, Metals Park, Ohio. pp: 9.1–9.12.

  • Çaydas U, Hasçalık A and Ekici S (2009) An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM. Expert Systems with Appl. 36, 6135–6139.

  • Donachie Jr and Matthew J (2000) Titanium - A technical guide (2nd Edition). ASM International. pp: 318-323.

  • Ghodsiyeh D, Lahiji MA, Ghanbari M, Shirdar MR and Golshan A (2012) Optimizing Material Removal Rate (MRR) in WEDMing Titanium alloy (Ti6Al4V) using the Taguchi method. Res.J.Appl.Sci., Eng. Technol. 4(17), 3154-3161.

  • Hewidy MS, El-Taweel TA and El-Safty MF(2005) Modelling the machining parameters of wire electrical discharge machining of Inconel 601 using RSM. J. Mater. Process. Technol. 169, 328–336.

  • Huang JT, Liao YS and Hsue WJ (1999) Determination of finish-cutting operation number and machining parameters setting in wire electrical discharge machining. J. Mater. Process. Technol. 87, 69–81.

  • Kanlayasiri K and Boonmung S (2007) Effects of wire-EDM machining variables on surface roughness of newly developed DC 53 die steel: Design of experiments and regression model. J. Mater. Process. Technol. 192–193.pp: 459–464.

  • Kuriakose S., Shunmugam, M.S., (2004) Characteristics of wire-electro discharge machined Ti6Al4V surface, Materials Letters 58: 2231– 2237.

  • Kuriakose S and Shunmugam MS (2005) Multi-objective optimization of wire electro discharge machining process by Non-Dominated Sorting Genetic Algorithm. J. Mater. Process. Technol. 170, 133–141.

  • Lopez JG, Verleysen P and Degrieck J (2012) Effect of fatigue damage on static and dynamic tensile behaviour of electro-discharge machined Ti-6Al-4V. J. Fatigue & Fracture & Eng. Materials & Structures. 1460-2695.2012.01699.x: pp 1-13.

  • Mahapatra SS and Amar Patnaik (2007) Optimization of wire electrical discharge machining (WEDM) process parameters using Taguchi method. Int. J. Adv. Manuf. Tech., Vol. 34, No.9-10 : 911-925.

  • Montgomery, D.C., (2009), Design and Analysis of Experiments, 7th Edition, John Wiley & Sons (Asia) Pte Ltd : 207-264.

  • Newman Ho, H., Rahimifard S.T, , Allen, R.D., (2004) State of the art in wire electrical discharge machining (WEDM)” ,Inter. J. Machine Tool Manufact.44: 1247-1259.

  • Parashar V., A. Rehman, J.L. Bhagoria, Y.M. Puri, (2010), Kerfs width analysis for wire cut electro discharge machining of SS 304L using design of experiments , Indian J. Sci. Technol, Vol. 3 No. 4

  • Poros, D., Zaborski, S.,(2009) Semi-empirical model of efficiency of wire electrical discharge machining of hard-to-machine materials, J. Mater. Process. Technol. 209: 1247–1253.

  • Rajurkar, K.P., Wang, W.M., 1993, “Thermal modeling and on-line monitoring of wire-EDM”, J. Mater. Process. Technol., Vol. 38, No. 1-2 : 417-430.

  • Rozenek, M., Kozak, J., DabroVwki, L. and LubkoVwki, K., (2001). Electrical discharge machining characteristics of metal matrix.composites. J. Mater. Process. Technol., Vol. 109, pp. 367–370.

  • Sarkar, S., Sekh, M., Mitra, S., Bhattacharyya, B., (2008) Modeling and optimization of wire electrical discharge machining of γ-TiAl in trim cutting operation, J. Mater. Process. Technol. 205; 376–387.

  • Sarkar, S, S. Mitra, B. Bhattacharyya, (2005) Parametric analysis and optimization of wire electrical discharge machining of γ -titanium aluminide alloy, J. Mater. Process. Technol. 159: 286–294.

  • Scott, D, S. Boyina, K.P. Rajurkar, Analysis and optimisation of parameter combination in wire electrical discharge machining, Int. J. Prod. Res. 29 (11) (1991) 2189–2207.

  • Singh, H., Garg, R.(2009) Effects of process parameters on material removal rate in WEDM , Journal of Achievements in Materials and Manufacturing Engineering V. 32 : 70-74.

  • Tarng, Y.S., Ma, S.C. and Chung, L.K. (1995). Determination of optimal cutting parameters in wire electrical discharge machining. INT. J. MACH. TOOL. MANU. Vol. 35, No 129, pp.1693–170.

  • Tosun ,N., Cogunb,C., Tosun,G. ,(2004). A study on kerf and material removal rate in wire electrical discharge machining based on Taguchi method. J. Mater. Process. Technol. 152. pp : 316–322

  • Vamsi K. P. ,Surendra B. B, Madar V. P ,Swapna M. (2010) Optimizing Surface Finish in WEDM Using the Taguchi Parameter Design Method, J. of the Braz. Soc. of Mech. Sci. & Eng.


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  • Optimizing Finishing Process in Wedming of Titanium Alloy (Ti6Al4V) by Zinc Coated Brass Wire Based on Response Surface Methodology

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Authors

Danial Ghodsiyeh
Faculty of Mechanical Engineering, Universiti Teknologi Malaysia 81310 Skudai, Johor, Malaysia
Abolfazl Golshan
Faculty of Mechanical Engineering, Universiti Putra Malaysia, 43300, Serdang, Selangor, Malaysia
Navid Hosseininezhad
Faculty of Mechanical Engineering, Universiti Teknologi Malaysia 81310 Skudai, Johor, Malaysia
Mohammadhassan Hashemzadeh
Faculty of Mechanical Engineering, Universiti Teknologi Malaysia 81310 Skudai, Johor, Malaysia
Sina Ghodsiyeh
5Department of Mechanical, Islamic Azad University, Khomeini shahr Branch, Isfahan, Iran, Islamic Republic of

Abstract


Determining the optimal cutting parameters has always been a critical matter to achieve high performance in different type of machining. In this study the behaviour of three control parameters base on Design of Experiment (DOE) method during WEDM of titanium alloy (Ti6Al4V) is experimentally studied. A zinc coated brass wire of 0.25mm diameter was used as tool electrode to cut the specimen. Analysis of variance (ANOVA) technique was used to find out the parameters affecting the surface roughness (SR), material removal rate (MRR) and sparking gap (SG). Assumptions of ANOVA were discussed and carefully examined using analysis of residuals. This work has been established as a second-order mathematical model based on the response surface methodology (RSM).The residual analysis and confirmation runs indicate that the proposed models could adequately describe the performance of the factors those are being investigated. The results are particularly useful for scientists and engineers to determine which subset of the process variable has the maximum influence on the process performance.

Keywords


WEDM Machining, Taguchi Method, ANOVA, Finishing, Zinc Coated Wire

References





DOI: https://doi.org/10.17485/ijst%2F2012%2Fv5i10%2F30915