Search results

The purpose of this study was to optimize the surface roughness (Ra), delamination damage at the hole entrance (FdT) and at the hole exit (FdB) and kerf angle (K) in the drilling of aramid fiber-reinforced polymer (AFRP) composite material using abrasive water jet (AWJ) machining.

The AFRP composite was produced by the vacuum infusion method. The drilling experiments were performed on an AWJ machine using a three-axis computerized numerical control system. Machine processing parameters were determined as water pressure (2,000, 3,000 and 4,000 bar), stand-off distance (2, 4 and 6 mm) and traverse feed rate (150, 250 and 350 mm/min). Optimization of processing parameters in the drilling experiments was carried out according to the Taguchi L27 (33) orthogonal array. In addition, gray relational analysis (GRA) was used to analyze the complex uncertainty affecting the results.

Results of the drilling operations demonstrated that water pressure (P) was the most effective parameter, with 65.3%, 65.2%, 49.8% and 52.1% contribution rates for Ra, FdT, FdB and K, respectively.

Reliable results have been obtained with Taguchi-based GRA while drilling AFRP composite material using AWJ. Significant results have been achieved to increase the hole quality in the drilling of AFRP composite material.

The new approach is to present more detailed analysis by using Taguchi method and multi-decision Taguchi-based gray relation analysis in AFRP composite material drilling using AWJ. Thus, time and experiment costs are saved.

With the development of technology, the production of industrial products with 3D (3-Dimensional) printing has become widespread. Variables in production methods affect the durability of products. For this reason, studies to increase the durability of products are gaining importance. This paper aims to examine the tribological behavior of products produced in different patterns using 3D printing methods.

Friction wear tests of polylactic acid (PLA) samples produced in different patterns were carried out on a pin-on disc testing device. Friction wear tests were performed according to ASTM G-99 standard. Friction coefficient, weight loss and wear surface images were evaluated.

According to the results obtained, it was determined that pattern differences affected the tribological properties of the samples. The lowest coefficient of friction was observed in PLA1, while the highest wear resistance was found in PLA3.

Studies on the tribological properties of samples produced with a 3D printer are limited. In this study, the effect of samples with a 50% filling rate and different patterns on tribological properties was investigated. It was desired to determine the effect of different patterns on wear characteristics.

The purpose of this study is to optimize processing parameters to get the smallest average surface roughness (Ra) and delamination damage (F_d) values during drilling via abrasive water jet (AWJ) of the glass fiber-reinforced polymer composite material produced at [0°/90°]_s fiber orientation angles.

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 F_d in conformity with the “smaller is better” approximation. The effects of processing parameters on Ra and F_d were statistically investigated using analysis of variance, S/N ratio and Taguchi-based gray relational analysis. Ra and F_d were predicted by evaluating with the ANN model and were predicted with the least amount of error.

It has been determined that the most effective parameter for Ra and F_d is the water pressure and then the stand-off distance.

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.