Fuzzy Logic Controller Design for Intelligent Drilling System

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 th...

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Main Authors:	Ahamed, Nizam Uddin, Zulkifli, Md. Yusof, Zamzuri, Hamedon, Rabbi, M. F., Tasriva, Sikandar, Palaniappan, Rajkumar, Ali, Md. Asraf, Rahman, S. A. M. Matiur, Sundaraj, Kenneth
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2016
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/14988/ http://umpir.ump.edu.my/id/eprint/14988/ http://umpir.ump.edu.my/id/eprint/14988/1/Paper_ID_60.pdf http://umpir.ump.edu.my/id/eprint/14988/7/fkp-2016-uddin-fuzzy%20logic%20controller%20design1.pdf

id	oai:umpir.ump.edu.my:14988
recordtype	eprints
spelling	oai:umpir.ump.edu.my:149882018-02-27T01:15:12Z http://umpir.ump.edu.my/id/eprint/14988/ Fuzzy Logic Controller Design for Intelligent Drilling System Ahamed, Nizam Uddin Zulkifli, Md. Yusof Zamzuri, Hamedon Rabbi, M. F. Tasriva, Sikandar Palaniappan, Rajkumar Ali, Md. Asraf Rahman, S. A. M. Matiur Sundaraj, Kenneth TS Manufactures 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. Unlikethe 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. IEEE 2016-10-22 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14988/1/Paper_ID_60.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14988/7/fkp-2016-uddin-fuzzy%20logic%20controller%20design1.pdf Ahamed, Nizam Uddin and Zulkifli, Md. Yusof and Zamzuri, Hamedon and Rabbi, M. F. and Tasriva, Sikandar and Palaniappan, Rajkumar and Ali, Md. Asraf and Rahman, S. A. M. Matiur and Sundaraj, Kenneth (2016) Fuzzy Logic Controller Design for Intelligent Drilling System. In: IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2016), 22 October 2016 , Shah Alam, Malaysia. pp. 208-213.. ISBN 978-1-5090-4186-2 (In Press) https://doi.org/10.1109/I2CACIS.2016.7885316
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TS Manufactures
spellingShingle	TS Manufactures Ahamed, Nizam Uddin Zulkifli, Md. Yusof Zamzuri, Hamedon Rabbi, M. F. Tasriva, Sikandar Palaniappan, Rajkumar Ali, Md. Asraf Rahman, S. A. M. Matiur Sundaraj, Kenneth Fuzzy Logic Controller Design for Intelligent Drilling System
description	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. Unlikethe 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.
format	Conference or Workshop Item
author	Ahamed, Nizam Uddin Zulkifli, Md. Yusof Zamzuri, Hamedon Rabbi, M. F. Tasriva, Sikandar Palaniappan, Rajkumar Ali, Md. Asraf Rahman, S. A. M. Matiur Sundaraj, Kenneth
author_facet	Ahamed, Nizam Uddin Zulkifli, Md. Yusof Zamzuri, Hamedon Rabbi, M. F. Tasriva, Sikandar Palaniappan, Rajkumar Ali, Md. Asraf Rahman, S. A. M. Matiur Sundaraj, Kenneth
author_sort	Ahamed, Nizam Uddin
title	Fuzzy Logic Controller Design for Intelligent Drilling System
title_short	Fuzzy Logic Controller Design for Intelligent Drilling System
title_full	Fuzzy Logic Controller Design for Intelligent Drilling System
title_fullStr	Fuzzy Logic Controller Design for Intelligent Drilling System
title_full_unstemmed	Fuzzy Logic Controller Design for Intelligent Drilling System
title_sort	fuzzy logic controller design for intelligent drilling system
publisher	IEEE
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/14988/ http://umpir.ump.edu.my/id/eprint/14988/ http://umpir.ump.edu.my/id/eprint/14988/1/Paper_ID_60.pdf http://umpir.ump.edu.my/id/eprint/14988/7/fkp-2016-uddin-fuzzy%20logic%20controller%20design1.pdf
first_indexed	2018-09-07T01:58:50Z
last_indexed	2018-09-07T01:58:50Z
_version_	1610912136227192832

Fuzzy Logic Controller Design for Intelligent Drilling System

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