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    Analysis of Drilling Behaviour in Jute Fibres Reinforced Natural Composites
    (Taylor & Francis Inc, 2023) Ozdemir, Burak; Yardimeden, Ahmet; Bahce, Erkan; Kilickap, Erol; Emir, Ender
    In the study, Natural jute composite materials, which have environmental advantages due to their easily degradable nature were drilled with different processing parameters and the effects of thrust force, vibration and temperature changes on hole quality were investigated. The effect of feed and spindle speed was statistically analyzed using ANOVA method. The thrust force, vibration and temperature factors that occur depending on the drilling parameters vary and affect the roughness and delamination values. The effect of feed and speed on thrust force was calculated as 97.87% and the feed effect (90.85%) is far greater than the speed (9.15%). The effect of drilling parameters on vibration is statistically insignificant due to the different spread behavior in the layers of the composite material (R2 = 0.2329). However, feed effect on vibration (94.6%) is greater than the speed effect (6.06%). The temperature is affected by 96.93% of the drilling parameters and the speed is 84.16% and the feed is 15.83%. The roughness effect depending on the drilling parameters is measured as 84.91%. The effect of speed on roughness (90.26%) is greater than the feed (9.73%). It has been determined that this situation is mostly related to vibration and temperature.
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    Optimization of parameters for drilling composite materials with freeform surfaces
    (Taylor & Francis Inc, 2024) Ozdemir, Burak; Kilickap, Erol; Bahce, Erkan; Yardimeden, Ahmet; Emir, Ender
    In the drilling process, the angle of surface is one of the parameters that affect hole quality. In study, the effects of feed rate, spindle speed and surface angle on the thrust force, roughness, and delamination, which are the factors affecting the quality of hole, were investigated in the drilling of GFRP (glass fiber reinforced polymer) and CFRP (carbon fiber reinforced polymer) with freeform surfaces. With ANOVA (Analysis of Variance) and regression analysis, the parameter effects were statistically compared, and descriptive mathematical models were derived. The mathematical models were subjected to the Genetic Algorithm approach according to the different surface angles determined and the optimum parameter values were calculated. Guiding data were obtained about the effects of machining on hole quality in drilling composite at different surface angles, which is the main motivation of the study. Optimization results will improve hole quality on curved surfaces, while saving cost and time.