Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining
Electric Discharge Machining (EDM) is one of the nonconventional machining that are widely used for processing hard and difficult-to-machine materials such as stainless steel and super alloys. This study presents an experimental study of die sinking EDM process using SS316L stainless steel with copp...
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| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Medwell Publishing
2017
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| オンライン･アクセス: | http://eprints.utm.my/id/eprint/80784/ http://dx.doi.org/10.3923/jeasci.2017.1795.1799 |
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| 要約: | Electric Discharge Machining (EDM) is one of the nonconventional machining that are widely used for processing hard and difficult-to-machine materials such as stainless steel and super alloys. This study presents an experimental study of die sinking EDM process using SS316L stainless steel with copper impregnated graphite electrode to investigate the parameters affecting Electrode Wear Rate (EWR). The machining experiment was conducted in order to find the influence of five EDM parameters which are peak current, servo voltage, pulse on time, pulse off time and servo speed on electrode wear rate value. The experimental data was collected and analyzed using Grey Relational Analysis (GRA). Results from GRA indicates that peak current is the most significant parameter to the EWR value. |
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