Open Access Open Access  Restricted Access Subscription or Fee Access

Parameters Optimization of EDM of AISI 316 Stainless Steel Material using RSM

Madhavi Pathak, Manoj Kumar Gaur

Abstract


In this paper, cutting of SS316 material using electro discharge machining (EDM) with a copper electrode using RSM technique is discussed. Electrical discharge machining (EDM) is one of the earliest non-traditional machining processes [1]. These methodologies are used to analyze the effect of each parameter on the machining characteristics and to predict the optimal choice for each EDM parameter such as peak current, gap voltage and pulse on time. It is found that these parameters have a significant influence on machining characteristics such as material removal rate (MRR). The optimal settings of the parameters is determined through experiments, planned, conducted and analyzed using response surface methodology (RSM) called a Box-Behnken design [2]. The results of analysis (ANOVA) explained the proposed mathematical model is significant and desirable within the predicted range of process and response parameters.


Full Text:

PDF

References


Schumacher BM. After 60 years of EDM, the Discharge Process Remains Still Disputed. J Mater Process Technol. 2004; 149: 376–381p.

Habib SS. Study of the Parameters in Electrical Discharge Machining through Response Surface Methodology Approach. Appl Math Model. 2009; 4397–4407p.

Kuldeep Ojha, Singh KK. MRR Improvement in Sinking Electrical Discharge Machining: A Review. Journal of Minerals & Materials Characterization & Engineering (JMMCE). 2010; 9(8): 709–739p.

Kansal HK, Singh S, Kumar P. Parametric Optimization of Powder Mixed Electro Discharge Machining by Response Surface Methodology. J Mater Process Technol. 2005; 427–436p.

Minitab User Manual Release. State College, PA, USA: 14 MINITAB Inc.; 2003.

Pradhan MK, Biswas CK. Modelling of Machining Parameters for MRR in EDM using response surface Methodology. National Conference on Mechanism Science and Technology, Hamirpur. 2008,

Mathews G. Design of Experiments with Minitab. Pearson Education; 2005.

Routara BC, Sahoo P, Bandyopadhyay A. Application of Response Surface Method Modelling of Statistical Roughness Parameters on Electric Discharge Machining. International Conference on Mechanical Engineering, Dhaka, Bangladesh. 2007.

Box GEP, Behnken DW. Three Level Design for the Study of Quantitative variables. Technometrics. 1960; 2: 455–475p.

Box GEP, Hunter IS. Multifactor Experimental Design for Explaining Response Surfaces. Ann Math Statist. 1957; 28: 195–241p.

Ulas Caydas. Modeling and Analysis of Electrode Wear and White Layer Thickness in Die-Sinking EDM Process through Response Surface Methodology. Int J Adv Manuf Technol. 2008; 38: 1148–1156p.

Pradhan MK, Biswas CK. Modeling and Analysis of Process Parameters on Surface Roughness in EDM of AISI D2 Tool Steel by RSM Approach. World Acad Sci Eng Technol. 2009; 57.

Kangarajan D, Karthikeyan R. Influence of Process Parameters on Electric Discharge Machining of WC/30%Co Composites. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2008.

Rahman MM, Noor MM. Mathematical Modeling of Material Removal Rate for Ti-5Al-2.5Sn through EDM Process: A Surface Response Method. Advances in Control, Chemical Engineering, Civil Engineering and Mechanical Engineering.

Rahman MM, Bakar RA. Modeling of Material Removal on Machining of Ti-6Al-4V through EDM using Copper Tungsten Electrode and Positive Polarity. World Acad Sci Eng Technol. 2010; 71.

Ko-Ta Chang. Modeling and Analysis of the Effects of Machining Parameters on the Performance Characteristics in the EDM process of Al2O3 + TiC Mixed Ceramic. Int J Adv Manuf Technol. 2008; 37: 523–533p.




DOI: https://doi.org/10.3759/joise.v3i2.3521

Refbacks

  • There are currently no refbacks.