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Electrical discharge machining / Mechanical engineering / Surface integrity / Electrostatic discharge / Surface finish / Electromagnetism / Physics / Machining


American Journal of Mechanical Engineering, 2014, Vol. 2, No. 5, [removed]Available online at http://pubs.sciepub.com/ajme/2/5/2 © Science and Education Publishing DOI:[removed]ajme[removed]Analysis and Multi-objective Op
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Company

SDR / EDM / Amp / /

Country

India / /

Currency

pence / /

/

Facility

National Institute of Technical Teachers Training / SBAS Government Polytechnic College / /

IndustryTerm

die steel material / metal / back propagation neural network / die steel / tungsten metal powder / heat energy / genetic algorithm / larger discharge heat energy / size back propagation neural network / chemical composition / process using powder metallurgy composite tool / aerospace industry / discharge energy / nonlinear systems / Statistical software / artificial neural network / conventional optimal solution / powder metrology technology / 31die steel / oil / input energy / base metal / energy / /

Organization

SBAS Government Polytechnic College / National Institute of Technical Teachers Training and Research / /

Person

Samuel / Mitutoyo / Philip / Equation / /

Position

Model / Fisher / India *Corresponding author / /

Product

Exp / /

ProvinceOrState

Georgia / /

PublishedMedium

the American Journal / /

Technology

neural network / dielectric / fuzzy logic / powder metrology technology / CVD / /

URL

http /

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