CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Investigating electrochemical drilling (ECD) using statistical and soft computing techniques

عنوان مقاله: Investigating electrochemical drilling (ECD) using statistical and soft computing techniques
شناسه ملی مقاله: JR_JCARME-4-2_007
منتشر شده در شماره 2 دوره 4 فصل Spring and Summer در سال 1394
مشخصات نویسندگان مقاله:

Mehdi Tajdari - Department of Mechanical Engineering, Islamic Azad University, Arak Branch, Arak, Iran
Saeed Zare Chavoshi - Department of Mechanical Engineering, Islamic Azad University, Arak Branch, Arak, Iran

خلاصه مقاله:
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 theproposed 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 wasmainly influenced by voltage and electrolyte concentration during the electrochemical drilling process

کلمات کلیدی:
Soft computing techniques, Statistical analysis, Radial overcut, ECD

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/630872/