Investigations on performance characteristics of GFRP composites in milling

Prasanth, I.S.N.V.R.; Ravishankar, D.V.; Hussain, M. Manzoor; Badiganti, Chandra Mouli; Sharma, Vinod Kumar; Pathak, Sunil

doi:10.1007/s00170-018-2544-2

Cited by 16 publications

(11 citation statements)

References 15 publications

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“…The effect of the parameters on surface roughness of the composite after the milling is that the surface roughness decrease with the increase of spindle speed as in the researchers [13] and [14]. Surface roughness increases with the increase of feed rate and depth of cut as in [4] and [10]. After the milling, the separation between the layers have been in sixteen experiments of thirty six experiments.…”

Section: Resultsmentioning

confidence: 99%

“…Also separation occurs in Exp.3, Exp.5, Exp.7, and Exp.9, three layers had been separated from the square. As seen in table (10) and (11), S/N ratio and ANOVA tables showed results of the significant factors, F-value and P-value and contribution of each parameter. All the parameters were almost at the same effect 33%, the parameters are not so effective on the output value due to the Rsq number, which is 55% only.…”

Section: B Fiberglass-aluminum With Polyester Resin Compositementioning

confidence: 92%

“…For this composite specimens the optimum parameters for the best surface roughness are A3B3C3 (A3=5000r.p.m, B3=1600mm/min, C3=2mm) that is illustrated in figure (10). The nine experiments that had been applied to the composite and the measured surface roughness, four values for each experiment, are all listed in table (4) and the input parameters with their results of Ra are illustrated in table (5).…”

Section: A Fiberglass-aluminum With Epoxy Resin Compositementioning

confidence: 99%

“…Prasanth et al [10] the authors studied the milling of GFRP composites due to becoming basic and necessary so as to upgrade its surface quality by improving its dimensional tolerances, and limiting the surface imperfections. this work`s examinations were done to upgrade the four significant processing parameters, spindle speed, feeds and depth of cut and sort of processing device on a surface roughness Ra.…”

Section: Introductionmentioning

confidence: 99%

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Fabricating Different Laminate Composites by Manual Layup and Estimating the Optimum Parameters for CNC Milling Machine

Alkhafaji

Al-Shammaa

Khalid

2020

NJES

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In this paper the ability of fabricating laminate composites by manual layup was discussed. Heating method was used to manufacture the composites; heat was applied to approximately 12 hours with specific heat temperature. There were four types of laminate composites fabricated and studied in this research, containing Aluminum alloy 6061 as the common element in all types, two types of fibers; woven Carbon fiber with two different orientations: ±45°, ±60°, random fiberglass and with two types of resin; epoxy resin and polyester resin. Different types of composites were made to determine the effect of CNC milling machine to the measured surface roughness and for specified parameters. The weight fraction ratio of the fibers is 37%, polymer is 34% and 29% for Aluminum. The parameters selected are spindle speed, feed rate and depth of cut. The L9 Taguchi orthogonal arrays, signal to noise (S/N) ratio and analysis of variance (ANOVA) are selected to determine the effect of these parameters; it was analyzed by MINITAB 17 program. The results showed that the parameter were significant more to the epoxy resin specimens than polyester resin specimens. The optimal milling parameters for good surface finish for Aluminum – Carbon fiber composite are at 3000RPM, 1200mm/min, 1.2mm, and for Aluminum – Fiberglass composite are 5000RPM, 1800 mm/min, 2.0mm.

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Section: Resultsmentioning

confidence: 99%

Section: B Fiberglass-aluminum With Polyester Resin Compositementioning

confidence: 92%

Section: A Fiberglass-aluminum With Epoxy Resin Compositementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fabricating Different Laminate Composites by Manual Layup and Estimating the Optimum Parameters for CNC Milling Machine

Alkhafaji

Al-Shammaa

Khalid

2020

NJES

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show abstract

“…The grinding heat generated during the FRP grinding process is very strong and can result in severe burns on the grinding surface and increased wear on the grinding wheel. Since the adhesion on the grinding wheel is very strong, it is not easily cleaned and requires timely repair or even replacement of the grinding wheel, which greatly increases costs [4,5,6,7,8]. Abrasive belt grinding is an economical, efficient, and versatile new grinding process referred to as “universal grinding”.…”

Section: Introductionmentioning

confidence: 99%

The Fitting of a Fiber-Reinforced-Plastic Complex Curved Surface and Its Orbit Optimization Model with Belt Grinding Line Contact

Xing

Xiao

et al. 2019

Materials

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The surface quality and profile accuracy of a radar fiberglass radome are determined by the manufacturing of the fiber-reinforced-plastic (FRP) complex curved mold. The surface quality, thickness uniformity, and shape accuracy of the mold seriously affect the temperature and deformation control during the manufacturing process of the radome, thus affecting the antenna’s serviceability, including its wave permeability and stability. Abrasive belt grinding is an effective method for processing FRP materials. However, issues regarding the profile fitting of the abrasive belt section line contact state and its influence on the precision of complex curved surfaces have not been solved, which seriously affects the processing quality. Here, an FRP complex curved surface mold surface based on the least-squares method was established. The local two-dimensional line contact and profile contour trajectory were obtained by the algorithm of optimal trajectory planning. Based on this, a grinding experiment was carried out. The experiments showed that the surface roughness based on this method was reduced from 0.503 to 0.289 μm, and the contour accuracy was improved by 16.9% compared with the conventional error. Through our analysis, the following conclusions can be drawn: the algorithm can effectively solve the problem of line contact surface fitting and significantly improve the precision of an FRP complex surface.

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Multi-performance Optimization in End Milling of GFRP Composites Using Backpropagation Neural Network and Differential Evolution Algorithm

Effendi¹,

Soepangkat²,

Harnany³

et al. 2022

Lecture Notes in Mechanical Engineering

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Investigations on performance characteristics of GFRP composites in milling

Cited by 16 publications

References 15 publications

Fabricating Different Laminate Composites by Manual Layup and Estimating the Optimum Parameters for CNC Milling Machine

Fabricating Different Laminate Composites by Manual Layup and Estimating the Optimum Parameters for CNC Milling Machine

The Fitting of a Fiber-Reinforced-Plastic Complex Curved Surface and Its Orbit Optimization Model with Belt Grinding Line Contact

Multi-performance Optimization in End Milling of GFRP Composites Using Backpropagation Neural Network and Differential Evolution Algorithm

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