Investigation of the effect of AWJ drilling parameters for delamination factor and surface roughness on GFRP composite material

Meltem Altin Karata?; Hasan G?kkaya; S?tk? Akincio?luMehmet?Ali Biberci

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Investigation of the effect of AWJ drilling parameters for delamination factor and surface roughness on GFRP composite material

机译：Investigation of the effect of AWJ drilling parameters for delamination factor and surface roughness on GFRP composite material

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Purpose The purpose of this study is to optimize processing parameters to get the smallest average surface roughness (Ra) and delamination damage (Fd) values during drilling via abrasive water jet (AWJ) of the glass fiber-reinforced polymer composite material produced at 0°/90°s fiber orientation angles.Design/methodology/approach Drilling experiments were done via AWJ with three-axis computer numerical control (CNC) control system. Machine processing parameters such as water pressure of 3,600, 4,300, 4,800 and 5,300?bar; stand-off distance of 1, 2, 3 and 4?mm; traverse rate of 750, 1,500, 2,000 and 3,000?mm/min; and hole diameters of 8, 10, 12 and 14?mm have been selected. The effects of processing parameters in drilling experiments were investigated in conformity with the Taguchi L16 orthogonal array and the data obtained were analyzed using Minitab 17 software. The signal/noise (S/N) ratio was taken as a basis for evaluating the test results. Optimum processing conditions were determined by calculating the S/N ratio for both Ra and Fd in conformity with the “smaller is better” approximation. The effects of processing parameters on Ra and Fd were statistically investigated using analysis of variance, S/N ratio and Taguchi-based gray relational analysis. Ra and Fd were predicted by evaluating with the ANN model and were predicted with the least amount of error.Findings It has been determined that the most effective parameter for Ra and Fd is the water pressure and then the stand-off distance.Originality/value The novel approach is to reduce cost and the time spent by using Taguchi optimization as a result of AWJ drilling the material in this fiber orientation 0°/90°s.

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来源
《Multidiscipline modeling in materials and structures》 |2022年第4期|734-753|共20页
作者
Meltem Altin Karata?; Hasan G?kkaya; S?tk? Akincio?luMehmet?Ali Biberci;
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作者单位

Mechanical Engineering Department;

Gerede Vocational School;

Department of Machine DesignEngineering Faculty;

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正文语种英语
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Glass fiber-reinforced polymer composite; Abrasive water jet; Taguchi-based gray relational analysis; Artificial neural network (ANN);

Investigation of the effect of AWJ drilling parameters for delamination factor and surface roughness on GFRP composite material

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