investigating electrochemical drilling (ecd) using statistical and soft computing techniques

نویسندگان

mehdi tajdari

saeed zare chavoshi

چکیده

in the present study, five modeling approaches of ra, mlp, mnn, gff, and canfis were applied so as to estimate the radial overcut values in electrochemical drilling process. for these models, four input variables, namely electrolyte concentration, voltage, initial machining gap, and tool feed rate, were selected. the developed models were evaluated in terms of their prediction capability with measured values. it was clearly seen that the proposed models were capable of predicting the radial overcut. however, the mlp model predicted the radial overcut with higher accuracy than the other models. the statistical analysis showed how much the radial overcut was mainly influenced by voltage and electrolyte concentration during the electrochemical drilling process.

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عنوان ژورنال:
journal of computational & applied research in mechanical engineering (jcarme)

ناشر: shahid rajaee teacher training university (srttu)

ISSN 2228-7922

دوره 4

شماره 2 2015

میزبانی شده توسط پلتفرم ابری doprax.com

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