Optimization of drilling parameters on carbon fiber reinforced polymer composites using fuzzy logic

Upputuri, Hari Babu; Nimmagadda, Vijaya Sai; Duraisamy, Elayaraja

doi:10.1016/j.matpr.2019.05.400

Cited by 17 publications

(6 citation statements)

References 8 publications

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“…Analysis of the obtained variance results shows that the most relevant factors for thrust force and torque are the drill diameter and feed, while the spindle speed and drill diameter appears to be the most relevant for the delamination factor. In conclusion, there was a good relationship demonstrated between the experimental results and the fuzzy results [6].…”

Section: Literature Reviewsupporting

confidence: 52%

Fuzzy Logic Control System with Gaussian Membership Functions

Africa¹,

Arevalo²,

Publico³

et al. 2019

IJETER

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One of the most widely known advanced control techniques is Fuzzy Logic Control. This paper aims to define the concept and function of Fuzzy Logic Control. Furthermore, this paper consists of brief discussion on how this type of control works, and how it is applied to several types of control systems. The procedure followed by this approach is explained and presented in this paper as well. This includes a discussion on the three steps namely fuzzification, Fuzzy Logic has become a popular approach in researches in the fields of science, technology, engineering, and medicine. This paper also shows the versatility of this approach in terms of numerous functions and applications.

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Section: Literature Reviewsupporting

confidence: 52%

Fuzzy Logic Control System with Gaussian Membership Functions

Africa¹,

Arevalo²,

Publico³

et al. 2019

IJETER

View full text Add to dashboard Cite

show abstract

“…[21]. The optimization process can be implemented/improved through the use of analytical techniques, such as fuzzy logic methods, which typically employ Taguchi orthogonal arrays [22,23]. Consequently, grey relational analysis (GRA) can lead to the simultaneous optimization of all parameters, which jointly contribute to a general characteristic that expresses the effectiveness of drilling, i.e., the material removal rate (MRR).…”

Section: Main Parameters Involved In Drilling Of Polymer Composites A...mentioning

confidence: 99%

Drilling Parameters and Post-Drilling Residual Tensile Properties of Natural-Fiber-Reinforced Composites: A Review

et al. 2023

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This review highlights the influence of parameters on the drilling characteristics of biocomposites including natural fibers. The particular structure of natural fibers, including their hierarchized geometry, which potentially causes fibrillation, can result in an increased chance of irregularity of the hole and a more complex mode of delamination or, in general terms, damage to the composite. On the other hand, to attain an effective junction of the laminates in a structure, a nut–bolt procedure must be selected, which requires the performance of a drilling operation. This is becoming increasingly important since the fields of application for natural fibers and their variety have been steadily growing in the last few decades. Additionally, adequately performed drilling operations can address considerations related to circular economy. The drilling characteristics evaluated herein include thrust force, torque, surface roughness, and the delamination factor at the entry and exit of the drilling tool. The variation in tensile strength, stiffness, and strain propagation due to the presence of open holes of various sizes, the number of holes, the holes’ patterns, the effect of the type of fiber of the notches, the fiber architecture, and the fibers’ stacking sequence in biocomposites have also been discussed.

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“…Fuzzy logic is applied in selecting the cutting conditions during turning operations [12]. The performance characteristics of drilling operations like thrust force, torque are predicted using fuzzy logic systems [13]. The useful life of the end mill cutter is predicted [14] using fuzzy logic techniques, with remarkable tool life predictions.…”

Section: Related Work In Fuzzy Logic Systemsmentioning

confidence: 99%

Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems

Devendran¹,

Varthanan²

2021

Mater. Res. Express

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Welding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The quality of the welding process is more reliable by automating the process with robots. In this research work, the GMAW operation is automated with the “Fanuc Robot Arc mate 100iC/12” robot. The material characteristics such as ultimate tensile strength, hardness, and impact strength of weldments are predicted using a fuzzy system using triangular membership function (TrMF) and trapezoidal membership function (TMF). The simulated results are validated by comparing with experimental work, the experiments are designed using orthogonal array L18, and material characteristics are studied using fractography test. The fuzzy system is trained with experimental results using the IF-Then rule base with the help of the L18 orthogonal array. The inference system has predicted the accuracy rate of weldment mechanical properties, showing a lower error rate.

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Optimization of drilling parameters on carbon fiber reinforced polymer composites using fuzzy logic

Cited by 17 publications

References 8 publications

Fuzzy Logic Control System with Gaussian Membership Functions

Fuzzy Logic Control System with Gaussian Membership Functions

Drilling Parameters and Post-Drilling Residual Tensile Properties of Natural-Fiber-Reinforced Composites: A Review

Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems

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