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Genetic algorithm approach for optimizing surface roughness of Near dry EDM
| Content Provider | Scilit |
|---|---|
| Author | Khundrakpam, Nimo Singh Brar, Gurinder Singh Deepak, Dharmpal |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering In this paper, genetic algorithm (GA) approach is used in order to optimize the surface roughness (Ra) of near dry EDM (ND-EDM) surfaces. Taguchi orthogonal array of $L_{27}$ is used as design of experiment for the five process parameters viz. pulse on time, duty factor, discharge current, gap voltage and tool rotating speed. ANOVA test was conducted and found that pulse on time was the most significant process parameters with 53.38% of contribution followed by duty factor and discharge current with 20.68% and 20.87% of contribution respectively. A regression mathematical model was developed and determined the relationship between the process parameters and surface roughness. GA approach was employed to optimize the process parameter. Then, a validation test was performed and confirmed the optimal process parameters values. |
| Related Links | http://iopscience.iop.org/article/10.1088/1757-899X/376/1/012130/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/376/1/012130 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 376 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-06-27 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Automotive Engineering Surface Roughness |
| Content Type | Text |
| Resource Type | Article |
