Proceedings ArticleDOI
Fuzzy logic controller design for intelligent drilling system
Nizam Uddin Ahamed,Zulkifli Md. Yusof,Zamzury Hamedon,Mohammad Fazle Rabbi,Tasriva Sikandar,Rajkumar Palaniappan,Md. Asraf Ali,Sam Matiur Rahman,Kenneth Sundaraj +8 more
- pp 208-213
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TLDR
A fuzzy logic controller has been designed to select the cutting parameter more precisely for the drilling operation by utilizing more input parameters to provide spindle speed and feed rate information more precisely.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.read more
Citations
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Artificial Intelligence, Machine Learning and Process Automation: Existing Knowledge Frontier and Way Forward for Mining Sector
Danish Ali,Samuel Frimpong +1 more
TL;DR: This study was an attempt to review and analyze all the recent automation related work in every sector of the mining industry including mineral prospecting and exploration, mine planning, equipment selection, underground and surface equipment operation, drilling and blasting, mineral processing, etc., for establishing the existing frontiers of technological advancement.
Proceedings ArticleDOI
A fuzzy logic-based text classification method for social media data
TL;DR: The result shows that the proposed fuzzy logic-based approach is more suitable to classify Twitter messages than keyword word method.
Journal ArticleDOI
Embedded Fuzzy Logic Control System for Refrigerated Display Cabinets
Kemal Tutuncu,Recai Ozcan +1 more
TL;DR: Embedded fuzzy logic control system (EFLCS) was designed and implemented for closed refrigerated display cabinets (CRDC) to meet the required storage conditions for the pastry productions stored in CRDCs and kept the desired values as almost constants.
References
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Journal ArticleDOI
Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics
TL;DR: In this paper, the optimal combination of drilling parameters is chosen using grey relational analysis to improve the quality of the holes drilled, which is based on five different output performance characteristics, namely, thrust force, torque, entry delamination, exit delamination and eccentricity of the hole.
Journal ArticleDOI
A study of drilling performances with minimum quantity of lubricant using fuzzy logic rules
Arup Kumar Nandi,J. Paulo Davim +1 more
TL;DR: A comparison of the model predictions with experimental results and those published in the literature shows that FRBM with TSK-type fuzzy rules describes excellent trade-off with experimental measurements.
Journal ArticleDOI
Fuzzy Modeling and Analysis of Machining Parameters in Machining Titanium Alloy
TL;DR: In this paper, a tool in artificial intelligence is used for the prediction of cutting parameters in turning titanium alloy (Ti-6Al-4V) and the parameters considered in this study are cutting speed, feed, and the depth of cut.
Journal ArticleDOI
Fuzzy-logic control of cutting forces in CNC milling processes using motor currents as indirect force sensors
Do Hyun Kim,Doyoung Jeon +1 more
TL;DR: In this article, a fuzzy logic controller (FLC) is designed to automatically adjust feed rate in order to regulate the cutting force of milling processes in a vertical machining center.
Journal ArticleDOI
Optimization of machining parameters in turning GFRP composites using a carbide (K10) tool based on the taguchi method with fuzzy logics
TL;DR: In this paper, a multi-response performance index (MRPI) was used for optimization of machining parameters of GFRP composites with multiple performance characteristics, such as metal removal rate, tool wear, and surface roughness.
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