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Modeling and Optimization of Tool Wear Rate in Powder Mixed EDM of MMC

Ashvarya Agrawal1Avanish Kumar Dubey2Pankaj Kumar Shrivastava3

1. the Atmiya University2. Motilal Nehru National Institute of Technology Allahabad3. the AKS University

摘要:Machining of metal matrix composites(MMCs) is a big challenge for manufacturing industries due to it’s superior mechanical properties.Unconventional machining processes(UMPs) are widely accepted to machine these MMCs.Electrical discharge machining(EDM) is one of such UMP which is most widely used to machine these advanced materials.However,the poor machining efficiency in terms of low material removal rate and high tool wear rate(TWR) are the circle of concern for manufacturing industries while using EDM to machine these materials.Powder mixed EDM(PMEDM) process may help to overcome above mentioned limitations up to some extent.The aim of present research is to investigate the machining performance of copper-iron-carbide MMC using PMEDM.A hybrid approach of artificial neural network and genetic algorithm has been used to develop the intelligent model for TWR and subsequent optimization with the experimental data obtained by central composite rotatable design.
会议名称:

2nd International Conference on Arts, Behavioral Sciences and Economics Issues (ICABSEI’2013); 2nd International Conference on Innovations in Electrical and Civil Engineering (ICIECE’2013); 2nd International Conference on Computer and Communication Technologies (ICCCT’2013); 2nd International Conference on Mechanical and Robotics Engineering (ICMRE’2013); 2nd International Conference on Agricultural, Environment and Biological Sciences (ICAEBS’2013)

会议时间:

2013-12-17;2013-12-17;2013-12-17;2013-12-17;2013-12-17

会议地点:

Pattaya, Thailand; Pattaya, Thailand; Pattaya, Thailand; Pattaya, Thailand; Pattaya, Thailand

  • 专辑:

    理工B(化学化工冶金环境矿业)

  • 专题:

    金属学及金属工艺

  • 分类号:

    TG661

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