UMP Institutional Repository

Fuzzy Logic Controller Design for Intelligent Drilling System

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)

[img] PDF
Restricted to Repository staff only

Download (617kB) | Request a copy
fkp-2016-uddin-fuzzy logic controller design1.pdf

Download (13kB) | Preview


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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: fuzzy logic controller; intelligent system; drilling operaion system
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Electrical & Electronic Engineering
Faculty of Manufacturing Engineering
Depositing User: Dr. Nizam Uddin Ahamed
Date Deposited: 28 Oct 2016 05:27
Last Modified: 27 Feb 2018 01:15
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item