Determination of delamination in drilling of carbon fiber reinforced carbon matrix composites/Al 6013-T651 stacks

Bayraktar, Şenol; Turgut, Yakup

doi:10.1016/j.measurement.2020.107493

Cited by 55 publications

(40 citation statements)

References 45 publications

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“…As the case in hand at speed 400 rpm, feed 0.2 mm/r and thickness of 2.6 mm, the variation in drill point angle from 100° to 118° to 140°, and the delamination factor increased from 1.49 to 1.53 to 1.62, respectively. The same observation has been reported [ 4 , 41 ]. It is also noted that the delamination factor is proportional to feed and speed.…”

Section: Methodssupporting

confidence: 89%

“…Machining of composite, especially drilling, is considered one of the essential operations to assemble different components in industries, needs machining with perfect hole quality and quick cycle time. Composite drilling differs from metal drilling because of fiber breakage and debonding, microcracking, matrix burning, delamination, and deterioration of the surface integrity [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…Qiu et al [ 40 ] used a compound drill bit design (dragger drill, double pint angle drill, and candlestick drill) to reduce and eliminate the ex-it-delamination during drilling CFRP. Bayraktar and Turgut [ 4 ] presented the influence of drill point angle on delamination of C/C/Al 6013-T651 stacks with uncoated and coated drills and concluded that uncoated drill has better performance than coated drill according to delamination criterion. Liu et al [ 41 ] proved that the thrust force produced by extrusion of the chisel edge is greater than that generated by cutting the chisel edge.…”

Section: Introductionmentioning

confidence: 99%

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Thermo-Mechanical and Delamination Properties in Drilling GFRP Composites by Various Drill Angles

et al. 2021

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This manuscript aims to study the effects of drilling factors on the thermal-mechanical properties and delamination experimentally during the drilling of glass fiber reinforced polymer (GFRP). Drilling studies were carried out using a CNC machine under dry cutting conditions by 6 mm diameter with different point angles of ∅ = 100°, 118°, and 140°. The drill spindle speed (400, 800, 1600 rpm), feed (0.025, 0.05, 0.1, 0.2 mm/r), and sample thickness (2.6, 5.3, and 7.7 mm) are considered in the analysis. Heat affected zone (HAZ) generated by drilling was measured using a thermal infrared camera and two K-thermocouples installed in the internal coolant holes of the drill. Therefore, two setups were used; the first is with a rotating drill and fixed specimen holder, and the second is with a rotating holder and fixed drill bit. To measure thrust force/torque through drilling, the Kistler dynamometer model 9272 was utilized. Pull-in and push-out delamination were evaluated based on the image analyzed by an AutoCAD technique. The regression models and multivariable regression analysis were developed to find relations between the drilling factors and responses. The results illustrate the significant relations between drilling factors and drilling responses such as thrust force, delamination, and heat affect zone. It was observed that the thrust force is more inspired by feed; however, the speed effect is more trivial and marginal on the thrust force. All machining parameters have a significant effect on the measured temperature, and the largest contribution is of the laminate thickness (33.14%), followed by speed and feed (29.00% and 15.10%, respectively), ended by the lowest contribution of the drill point angle (11.85%).

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Section: Methodssupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Thermo-Mechanical and Delamination Properties in Drilling GFRP Composites by Various Drill Angles

et al. 2021

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“…Additionally, Bayraktar and Turgut found the maximum cutting speed, minimum feed rate, and drill point angle reduced delamination to the greatest extent when machining carbon fiberreinforced carbon matrix composites/Al 6013-T651 stacks. 21 In addition, Davim et al 22 also found that the spindle speed has an important effect on the surface roughness in the test of milling MDF.…”

Section: Introductionmentioning

confidence: 99%

The researches concern the influence of the helix angle on the composite machining process

Jiang

Wang

Gao

et al. 2021

Composites and Advanced Materials

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Magnesium oxide-reinforced wood fiber composites (MgO/WF) are a new type of multifunctional material, which can be used in different occasions, such as shopping malls, hotels, and residential buildings. Referring to the relevant literature, there is no research on the milling performance of MgO/WF. In order to better understand the relevant knowledge of the processability of MgO/WF, three cutters with different helix angles were used in this experiment to carry out the cutting of MgO/WF, and the variation trend of its cutting force, tool wear, and surface roughness was measured. The results are as follows: First, under the same cutting parameters, the resultant force decreases with the increase of helix angle. Second, with the increase of helix angle, the tool wear was slightly improved. Third, the surface roughness (Ra) showed an increasing trend with the decrease of helix angle. In the end, when milling MgO/WF, better machined surface quality and less tool wear can be obtained by selecting the tool with larger helix angle.

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“…1 However, due to the anisotropy, high strength, and toughness of carbon fiber, fast wear and failure of CFRP drilling tools is an important problem, which greatly affects the machining accuracy and surface roughness of workpieces. Bayraktar and Turgat 2,3 found that uncoated drills caused less delamination than TiN-and TiAN-coated high speed steels (HSS) drills, and the most effective parameter in hole delamination of composites was determined by the feed rate. Even though the minimum quantity lubrication environment cannot prevent the premature failure of drill bits during the machining of CFRP stacks, 4 it was found that the delamination factor decreases under dry drilling in some conditions.…”

Section: Introductionmentioning

confidence: 99%

Prediction of tool wear in CFRP drilling based on neural network with multicharacteristics and multisignal sources

Guo-qiang

Tang

2021

Composites and Advanced Materials

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Carbon fiber-reinforced polymer (CFRP) drilling is a typical process in the aircraft industry. Because the components of CFRP are different and uneven, it is difficult to extract tool wear characteristics from the machining signals, which are composed of the processing characteristics of various materials and the tool state characteristics. The aim of this work is to present a new comprehensive approach based on multicharacteristics and multisignal sources to predict the tool wear state during CFRP drilling through a combination of a backpropagation (BP) artificial neural network (ANN) model and an efficient automatic system depending on the sliding window algorithm. It was verified that the peak factor and Kurtosis coefficient of different signals and the energy value of the d5 layer of the thrust force signal and the d3 layer of the vibration signal after wavelet decomposition were related to tool wear. Among them, the energy value of the d3 layer of the vibration signal was selected as the wear indicator and was able to describe the state of the tool during the CFRP drilling process regardless of the drilling conditions and individual tool differences. A confirmatory drilling experiment using 6-mm-diameter polycrystalline diamond twist drilling under different processing parameters was conducted to verify the ANN model based on multicharacteristics and multisignal sources. A lower feed speed and a higher cutting speed were both highly correlated with the VB value of flank wear. Drill wear accelerated because of the occurrence of adhesive wear when the number of drilled holes reached around 90. The accuracy of the neural network model is 80–87% when using the value of only one characteristic but clearly increases based on multicharacteristics and multisignal sources in real time, indicating that the BP ANN model has higher accuracy in predicting the tool state in CFRP drilling through the sensor signal fusion method.

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Determination of delamination in drilling of carbon fiber reinforced carbon matrix composites/Al 6013-T651 stacks

Cited by 55 publications

References 45 publications

Thermo-Mechanical and Delamination Properties in Drilling GFRP Composites by Various Drill Angles

Thermo-Mechanical and Delamination Properties in Drilling GFRP Composites by Various Drill Angles

The researches concern the influence of the helix angle on the composite machining process

Prediction of tool wear in CFRP drilling based on neural network with multicharacteristics and multisignal sources

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