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    Cure cycle optimization of infrared cured composites using Taguchi method
    (Wiley, 2023) Alpay, Yakup O.; Uygur, Ilyas; Kilincel, Mert; Samtas, Gurcan
    Knowing that cure cycle has a significant effect on the mechanical properties of the composite materials, determining the effects of cure cycle parameters - such as heating rate, maximum temperature, and dwell time, has gain importance. This study addresses the optimum cure cycle of an infrared cured carbon fiber pre-preg material. An infrared oven equipped with 1 kW halogen infrared heating unit and vacuum system was used. Different cure cycles determined by means of Taguchi experiment design approach and a cure cycle was found maximizing the tensile strength of the material. Results showed that infrared curing is a strong alternative to the autoclave despite its shortcomings regarding the product geometry. The optimized cure cycle showed 23% increase in the tensile strength comparing the tested cure cycle which is resulted with the minimum tensile strength. Besides, comparing the specimens cured with the optimum cure cycle, the infrared cured specimens showed slightly higher tensile strength than the autoclave cured counterparts. According to Taguchi optimization, optimum values for maximum tensile strength were found as 10 degrees C/min, 130 degrees C for heating rate and 60 min for plateau time. According to the analysis of variance, the most effective parameter affecting the tensile strength was the heating rate.
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    Multiple optimisation of cutting parameters in milling of cryogenically treated Aluminium 6061-T651 alloy with cryogenic and normal cutting inserts
    (Iop Publishing Ltd, 2021) Samtas, Gurcan; Korucu, Salih
    The Aluminium 6061 alloy is a material that is used in rims, panels and several other parts of vehicles in the automotive industry, and it has excellent machinability properties. In this study, surface milling was applied to the aluminium 6061-T651 alloy that was cryogenically treated by using TiALN-Nano-coated normal and cryogenically treated cutting inserts. The Taguchi L18 orthogonal array was selected as the experimental design. As the cutting parameters in the experiments, two different cutting inserts (normal TiALN-Nano-coated inserts and cryogenically treated TiALN-Nano-coated inserts), three different cutting speeds (250, 350 and 450 m min(-1)) and three different feed rates (0.15, 0.30 and 0.45 mm tooth(-1)) were utilised. Roughness measurements were made after each experiment, and cutting insert wear was measured by repeating the same experiment 5 times. The Taguchi method and Grey Relational Analysis for multi optimisation were used in the optimisation of the wear and roughness values. According to the results of the experiment, the cryogenic treatment showed a positive effect for the minimum cutting insert wear, while it did not have any significant effect on surface roughness. The most significant factor affecting surface roughness was the feed rate, whereas the most significant factor affecting wear was the cutting speed. On the other hand, according to the result of the multi optimisation made using the GRA method, the most significant factor affecting both wear and surface roughness was determined as the feed rate. Based on the results obtained in this study, if the minimum surface roughness and wear are desired, the findings obtained with GRA can be easily used in the manufacturing industry. Consequently, it was observed that the proposed, Grey-based Taguchi methodology was effective in solving the decision-making problem involving multiple criteria as wear and roughness.