Title of article :
Review on an electrical discharge machining servomechanism system
Author/Authors :
Hashim، Nor Liyana Safura binti نويسنده she is currently a PhD student in Biomedical Engineering in the Faculty of Biosciences and Medical Engineering , , Yahya، Azli bin نويسنده he obtained his PhD degree in Electronic/Electrical Engineering from the University of Loughborough, UK. , , Daud، Md Razak نويسنده he began studying for his PhD degree in Mechanical Engineering. , , Samion، Syahrullail نويسنده He is currently Associate Professor in the Department of Thermo uids at the Faculty of Mechanical Engineering, Universiti Teknologi Malaysia , , Baharom، Ameruddin نويسنده is senior lecturer in the Faculty of Electrical Engineering at Universiti Teknologi Malaysia, Malaysia. , , Khamis، Nor Hisham Haji نويسنده He received his BS degree in Electrical Engineering from the University of Evansville, Indiana, USA, , , Mahmud، Nazriah نويسنده she is currently a PhD degree student in the same subject at the Faculty of Biosciences and Medical Engineering ,
Issue Information :
دوماهنامه با شماره پیاپی 0 سال 2015
Pages :
20
From page :
1813
To page :
1832
Abstract :
Electrical discharge machining is a non-contact process based on thermoelectric energy between the electrode and workpiece. It is an ecient machining process to machine an advanced, dicult-to-machine material with high precision, complex shapes and high surface quality. Realizing the advantages and abilities of this machining method, electrical discharge machining research has caught the interest of many researchers. This paper reviews the electrical discharge machining process, including recent research elds and inventions that have been developed in order to improve workpiece surface quality and integrity, machining time, tool wear and material removal rate. Electrical discharge machining apparatus and its servomechanism system, including mechanical structure developments using computer numerical control, a lead-screw mechanism and linear motor driven and piezoelectric actuators, are also reviewed. Furthermore, control strategies that are applied to electrical discharge machining systems, including servo-drive control and optimization techniques, such as fuzzy, genetic algorithms and arti cial neural networks, are also discussed.
Journal title :
Scientia Iranica(Transactions B:Mechanical Engineering)
Serial Year :
2015
Journal title :
Scientia Iranica(Transactions B:Mechanical Engineering)
Record number :
2384859
Link To Document :
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