نتایج جستجو برای: electrical discharge machining edm

تعداد نتایج: 303188  

2016
Satheesh Kumar

Advanced Ceramics find wide range of industrial applications. Cutting of advanced ceramic (SiC) is very difficult using conventional machining methods due to its low fracture toughness. In the past few years, researchers have claimed successful machining of ceramic composites using EDM process. Furthermore, increasing trend, necessity of miniaturization, micro components in MEMS and semiconduct...

2010
S. Lopez-Esteban C. Pecharroman R. Torrecillas

Electroconductive, homogeneous and dense ceramic/semiconductor/metal nanocomposites were obtained by hot press and subsequently machined by wire Electrical Discharge Machining (EDM). The addition of semiconductor and metal phases to a highperformance ceramic material produces nanocomposites which preserve the excellent mechanical properties of the ceramic/metal material while reaching the elect...

2009
V. S. Sreebalaji R. Saravanan

Electrical Discharge Machine (EDM) is one of the non-traditional machining processes. EDM process is based on thermoelectric energy between the work and an electrode. A pulse discharge occurs in a small gap between the work piece and the electrode and removes the unwanted material from the parent metal through melting and vaporization. The electrode and the work piece must have an electrical co...

Journal: :International Journal of Engineering Materials and Manufacture 2016

2014
V.Balasubramaniam N.Baskar C.Sathiya Narayanan

Electrical Discharge Machining (EDM) is a time consuming process and the operating cost is high. Optimum machining conditions reduces the machining time in the EDM process and yield better performances. Electrode material is also having their significance in the performances. In this paper a work has been carried out with different electrode materials namely copper, brass and tungsten while EDM...

2012

The operating control parameters of injection flushing type of electrical discharge machining process on stainless steel 304 workpiece with copper tools are being optimized according to its individual machining characteristic i.e. material removal rate (MRR). Lower MRR during EDM machining process may decrease its’ machining productivity. Hence, the quality characteristic for MRR is set to high...

2014
Shivam Goyal Rakesh Kumar Singh

Electrical discharge machining (EDM) is a wellestablished non-conventional machining process, used for manufacturing geometrically complex or hard and electrically conductive material parts that are extremely difficult to cut by other conventional machining processes. But sometimes poor surface finish and low volumetric material removal rate limits its use in the industry. To diffuse this probl...

Journal: :journal of computational applied mechanics 0
masoud azadi moghaddam ph.d. candidate, ferdowsi university of mashhad, department of mechanical engineering, mashhad, iran farhad kolahan associate professor, ferdowsi university of mashhad, department of mechanical engineering, mashhad, iran

among the several non-conventional processes, electrical discharge machining (edm) is the most widely and successfully applied for the machining of conductive parts. in this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. hence, this technique could be employed to machine hard materials such as super allo...

2013
SANJAY KUMAR CHAK Sanjay Kumar Chak P. Venkateswara Rao Sanjay K. Chak

Advanced engineering ceramics which are widely used as high strength refractory material for several industrial applications, always pose a challenging opportunity to machine them. Conventional methods of machining are difficult to shape them because of their high hardness and brittleness, while grinding is the only popular method to machine them, but shaping of ceramics in desired form is diff...

2014
R. DAS M. K Pradhan

Elman Networks is a one of the dynamic recurrent neural networks. In this research it is used for the prediction of surface roughness in Electrical Discharge Machining (EDM). Training of the models was performed with data from series of EDM experiments on SKD 11 (AISI D2) Tool steel; in the development of predictive models, machining parameters of discharge current, pulse duration and duty cycl...

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