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Fuzzy logic controller design for intelligent drilling system

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dc.contributor.author Ahamed, Nizam Uddin
dc.contributor.author Yusof, Zulkifli
dc.contributor.author Hamedon, Zamzury
dc.contributor.author Rabbi, Mohammad Fazle
dc.contributor.author Sikandar, Tasriva
dc.contributor.author Palaniappan, Rajkumar
dc.contributor.author Ali, Md. Asraf
dc.contributor.author Rahman, Sam Matiur
dc.contributor.author Sundaraj, K.
dc.date.accessioned 2018-09-22T06:30:08Z
dc.date.accessioned 2019-05-27T09:59:33Z
dc.date.available 2018-09-22T06:30:08Z
dc.date.available 2019-05-27T09:59:33Z
dc.date.issued 2017-03-27
dc.identifier.uri http://hdl.handle.net/20.500.11948/3261
dc.description.abstract An intelligent drilling system can be commercially very profitable in terms of reduction in crude material and labor involvement. The use of fuzzy logic based controller in the intelligent cutting and drilling operations has become a popular practice in the ever growing manufacturing industry. In this paper, a fuzzy logic controller has been designed to select the cutting parameter more precisely for the drilling operation. Specifically, different input criterion of machining parameters are considered such as the tool and material hardness, the diameter of drilling hole and the flow rate of cutting fluid. Unlike the existing fuzzy logic based methods, which use only two input parameters, the proposed system utilizes more input parameters to provide spindle speed and feed rate information more precisely for the intelligent drilling operation. Full Text Link: http://doi.org/10.1109/I2CACIS.2016.7885316 en_US
dc.language.iso en en_US
dc.publisher IEEE Xplore en_US
dc.subject Feeds en_US
dc.subject Fuzzy logic en_US
dc.subject Drilling machines en_US
dc.subject Lubricants en_US
dc.subject Machining en_US
dc.subject Intelligent systems en_US
dc.subject Pragmatics en_US
dc.title Fuzzy logic controller design for intelligent drilling system en_US
dc.type Article en_US

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