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Iranian Journal of Materials Science and Engineering، جلد ۹، شماره ۲، صفحات ۱۵-۲۹
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی DRILL WEAR PREDICTION SYSTEM USING OF MOTOR CURRENT AND FUZZY LOGIC METHOD
چکیده انگلیسی مقاله In automation flexible manufacturing systems, tool wear detection during the cutting process is one of the most important considerations. This study presents an intelligent system for online tool condition monitoring in drilling process .In this paper, analytical and empirical models have been used to predict the thrust and cutting forces on the lip and chisel edges of a new drill. Also an empirical model is used to estimate tool wear rate and force values on the edges of the worn drill. By using of the block diagram of machine tool drives, the changes in the feed and spindle motor currents are simulated, as wear rate increases. To predict tool wear rate in drill, Fuzzy logic capabilities have been used to develop intelligent system. The simulated results presented in MATLAB software show the effectiveness of the proposed system for on-line drill wear monitoring.
کلیدواژه‌های انگلیسی مقاله Tool wear condition monitoring, current signal, Fuzzy logic
نویسندگان مقاله a سلیمی | a salimi
department of mechanical engineering, faculty of engineering, university of payame noor. tehran, iran.


m زادشکویان | m zadshakoyan
department of manufacturing engineering, faculty of mechanical engineering, university of tabriz,

سازمان اصلی تایید شده: دانشگاه تبریز (Tabriz university)

a ozdemir | a ozdemir
mechanical education department, faculty of technical education, university of gazi, ankara, turkey.


e صیدی | e seidi
department of agricultural engineering, faculty of agriculture, university of payame noor. tehran, iran.
نشانی اینترنتی http://ijmse.iust.ac.ir/browse.php?a_code=A-10-3-165&slc_lang=en&sid=en
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده گروه مهندسی مواد . مباحث ویژه
نوع مقاله منتشر شده Research paper
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