Evaluating Influences of Input Parameters on Surface Roughness in Sinking EDM Cylindrical Shaped Parts

Author:

Hong Tran Thi1,Tuan Nguyen Anh2,Danh Bui Thanh3,Ky Le Hong4,Linh Nguyen Hong5,Giang Tran Ngoc6,Pi Vu Ngoc6,Cuong Nguyen Manh6

Affiliation:

1. Nguyen Tat Thanh University

2. University of Economic and Technical Industries

3. University of Transport and Communications

4. Vinh Long University of Technology Education

5. Electric Power University

6. Thai Nguyen University of Technology

Abstract

The input parameters in the process of sinking Electrical Discharge Machining (EDM) are the essential enabling factors that need to be determined. In the present work, the influences of the EDM input parameters containing pulse on time (Ton), pulse off time (Toff), discharge current (IP), Server voltage (SV), work-piece diameter (dw) on the surface roughness (SR) in sinking EDM cylindrical shaped part of 9CrSi material were investigated. Taguchi technique and analysis of variance (ANOVA) have been used to identify the weight of EDM factors on SR. The results show that the impact level of Ton, Toff, IP, SP, and dw are 65.55%, 8.66%, 19.17%, 3.14%, and 0.76%, respectively. By analyzing the experimental results, optimum input parameters with the Ton of 6 ms, Toff of 30 ms, IP of 9A, SP of 3V, and dw of 10mm have been determined, that allow getting the best surface roughness.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference8 articles.

1. Malhotra, P., et al., Experimental investigation and effects of process parameters on EDM of Al7075/SiC composite reinforced with magnesium particles. Materials Today: Proceedings, (2019).

2. Yue, X., Q. Li, and X. Yang, Influence of thermal stress on material removal of Cf_SiC composite in EDM. Ceramics International, (2019).

3. Gugulothu, B., Optimization of process parameters on EDM of titanium alloy. Materials Today: Proceedings, (2019).

4. Singh, N.K., et al., Predictive analysis of surface roughness in EDM using semi-empirical, ANN and ANFIS techniques: A comparative study. Materials Today: Proceedings, (2019).

5. Kumar, S.D., et al., Effect of EDM process parameters on material removal rate and surface roughness of metal matrix composites: A review. Materials Today: Proceedings, (2019).

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