Parametric optimization in drilling of GFRP composites using desirability function integrated simulated annealing approach

Nayak, Bijaya Bijeta; Kundu, Souranil; Kumar, M. Vinoth; Kumar, Vivek; Kumar, Rishabh; Shivam, Kumar Poornendu

doi:10.1016/j.matpr.2020.12.116

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…This happens due to the separation of layers of materials. As a result of the damage, the mechanical strength of the machined parts is subsequently reduced [2][3][4][5][6]. There have been many studies on the issue of delamination during milling [7][8][9][10][11][12], etc., but the studies were mostly not focused on the milling of composite materials from glass fiber-reinforced polymers (GFRP).…”

Section: Introductionmentioning

confidence: 99%

Study of the Machining Process of GFRP Materials by Milling Technology with Coated Tools

2022

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Glass fibers are often used as reinforcing fibers in reinforced polymers. Composites reinforced with glass fibers (GFRP) stand out with excellent mechanical and physical properties applicable to industrial practice. Machining these composites requires the correct choice of tools and cutting conditions so that the machined surface shows good properties, there is no fiber delamination, thermal stress on the workpiece and the tool, or excessive tool wear. The study was devoted to circumferential milling of fabric-bonded GFRP plates, in which attention was paid to the influence of the abrasive effect of glass fibers on wear and tool life. Attention was also paid to surface roughness after machining, material delamination, and forces during machining were measured. Three end mills of the same diameter with different coatings, number of teeth, and geometry were selected for the study. This choice of tools was intended to achieve various accompanying and subsequent phenomena that were investigated. Milling was performed on a CNC milling center under preselected cutting conditions. The paper summarizes information on fiber delamination and machined laminate damage after milling, tool wear, and surface roughness parameters as a function of tool wear. This paper provides an opportunity for researchers to increase their knowledge of specific aspects of milling GFRP composites, whether with a tool specifically designed for this or not.

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Section: Introductionmentioning

confidence: 99%

Study of the Machining Process of GFRP Materials by Milling Technology with Coated Tools

2022

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“…It is crucial to choose the right process parameters while drilling glass fibre reinforced polymer composites. Nayak et al [5] worked on parametric optimization using simulated annealing. Three input parameters are taken into consideration for drilling at four different levels: cutting speed, feed rate, and drill size.…”

Section: International Journal Of Innovative Research In Computer Sci...mentioning

confidence: 99%

Simulated Annealing and Its Applications to Mechanical Engineering: A Review

Giri¹

2023

International Journal of Innovative Research in Computer Science &Amp; Technology (IJIRCST)

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This work focuses on the significant family of stochastic approaches for global optimization known as simulated annealing (SA), which is based on the key concept of annealing, which describes the cooling of a solid until it reaches the configuration of lowest energy. This paper presents a review of simulated annealing applications meant to solve many problems in the field of mechanical engineering.

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“…Also, the methods cover more uniformly ample search space; due to their inherent stochasticity, it escapes more easily from local optima. In this category, two powerful tools are found, genetic algorithms (GA) [16][17][18][19][20][21] and simulated annealing (SA) [16,[22][23][24][25][26]. Newer and more sophisticated optimization algorithms are reported elsewhere [27,28].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Laminates Orientation in a Composite Material by Genetics Algorithm and Simulated Annealing

Torres Arellano,

Burgos Vergara,

Piedra-Gonzalez

et al. 2023

Preprint

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The present work sets out the evaluation of composite laminates through optimization objective functions. Genetic Algorithms (GA), as well as Simulated Annealing (SA), were performed in order to determine the optimal ply orientations of a fiber-reinforced polymer laminate for three given load cases: 1) in-plane loads, 2) combined moments, and 3) in-plane loads and combined moments. It searches the optimal orientation layup, which fulfills at the same time both the maximum strain criterion and the Tsai-Wu failure criterion. Construction of an objective function based on the strains and the stresses involves a minimization process to deformations and a maximization of the safety factor. For the first load case, the initial solution is [±45/0/90/±45]s, and the best solution is [(45/135)2/452]s. For the second load case, [-45/45/45/-45/0/90]s is the initial layup sequence, then the best solution obtained is [(45/-45)2/452]s, where plies at 0° and 90º are not necessary even when axial loads are applied. For the third study case, the original layup sequence is [0/45/-45/45/0/90]s; meanwhile, the best solution calculated is [21/24/145/140/45/49]s. An interesting observation is that each pair of layers has a 5º gap. The simulations show that the qualitative results from the GA are better than the SA, but with a significantly higher computational cost. These kinds of computational tools are expected to be used as a reference guide for an optimal fiber configuration with respect to the common orientations used when composite laminates are designed for a structural application.

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Parametric optimization in drilling of GFRP composites using desirability function integrated simulated annealing approach

Cited by 7 publications

References 13 publications

Study of the Machining Process of GFRP Materials by Milling Technology with Coated Tools

Study of the Machining Process of GFRP Materials by Milling Technology with Coated Tools

Simulated Annealing and Its Applications to Mechanical Engineering: A Review

Optimal Design of Laminates Orientation in a Composite Material by Genetics Algorithm and Simulated Annealing

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