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    Experimental investigation of kerf of Ti6Al4V exposed to different heat treatment processes in WEDM and optimization of parameters using genetic algorithm
    (Springer London Ltd, 2015) Altug, Mehmet; Erdem, Mehmet; Ozay, Cetin
    In this study, microstructure, mechanical, and conductivity characteristics of alloy Ti6Al4V were changed with different heat treatments and the effect of such characteristics on its machinability with wire electrical discharge machining (WEDM). Optical microscope, scanning electron microscope (SEM), and X-ray diffraction (XRD) examinations were performed to determine various characteristics, and additionally microhardness and conductivity measurements were conducted hereof. L18 Taguchi test design was conducted with three levels and six different parameters to determine the effect of such alterations on its machinability with WEDM, and post-processing kerf (cutting width) values were determined. Microchanges were ensured successfully by using applied heat treatments. Results obtained with the optimization technique of genetic algorithm gave minimum kerf. Values obtained by using response surface method along with this equation completely match with those achieved in the experiments. The best kerf value was obtained from sample E which was quenched from dual phase area. The microstructure of this sample was composed of primary alpha and alpha' phases.
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    The limit drawing ratio in die angled hydromechanical deep drawing method
    (Springer London Ltd, 2020) Ballikaya, Hasan; Savas, Vedat; Ozay, Cetin
    In the study, the effect of die angle, die radius, die punch, blank holder force, and chamber pressure parameters on the limit drawing ratio (LDR) in die angled hydromechanical deep drawing process was investigated by using Taguchi experimental design method. The effects of the parameters on the limit drawing ratio were numerically examined and compared experimentally using ANSYS packaged software. Also, the data were statistically analyzed by using the ANOVA analysis of variance in order to determine the effects of the parameters on the limit drawing ratio. The results indicated that the chamber pressure value was lower and the limit drawing ratio was higher than the values reported in the literature.
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    A New Optimization Technique in Examining the Machinability of Sverker 21 Steel: Gray Relational Analysis-Based Genetic Algorithm
    (Springer Heidelberg, 2021) Ozay, Cetin; Altug, Mehmet; Ballikaya, Hasan
    In this study, to determine the optimum parameters of the WEDM method, Taguchi experiment design, gray relational analysis (GRA) and gray relational analysis-based genetic algorithm (GRABGA) methods were used. In experimental studies, first, microstructure, microhardness and conductivity examinations of, both commercial and heat treated, Sverker 21 cold tool steel were performed. Then, the commercial and heat-treated Sverker 21 cold tool steel was processed with the WEDM method at the determined parameters. The effects of processing parameters on average surface roughness (Ra), kerf, and vibration were evaluated separately using Taguchi test design, GRA and GRABGA methods. It was determined that the homogeneous distribution of the carbides increased, the microhardness increased and the conductivity increased in the microstructure of the heat-treated sample compared to the commercial sample. In the processing of materials with WEDM, while the Taguchi test design method was used to evaluate the effects of processing parameters on the results were evaluated separately, GRA method was used to determine the grade of relationship between the results. In addition, the GRABGA method enabled the optimum values of the processing parameters to be determined not only on the basis of the level, but also on the intermediate values. It was found that the GRA relationship value was 0.8564 whereas the GRABGA relationship value was 0.8977. It was concluded that the GRABGA method provided better results than the GRA method in the correlation analysis of the results obtained in processing D2 cold tool steel with the WEMD method.
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    Surface roughness of Ti6Al4V after heat treatment evaluated by artificial neural networks
    (Carl Hanser Verlag, 2016) Altug, Mehmet; Erdem, Mehmet; Ozay, Cetin; Bozkir, Oguz
    The study examines how, using wire electrical discharge machining (WEDM), the microstructural, mechanical and conductivity characteristics of the titanium alloy Ti6Al4V are changed as a result of heat treatment and the effect they have on machinability. Scanning electron microscope (SEM), optical microscope and X-ray diffraction (XRD) examinations were performed to determine various characteristics and additionally related microhardness and conductivity measurements were conducted. L-18 Taquchi test design was performed with three levels and six different parameters to determine the effect of such alterations on its machinability using WEDM and post-processing surface roughness (Ra) values were determined. Micro-changes were ensured successfully by using heat treatments. Results obtained with the optimization technique of artificial neural network (ANN) presented minimum surface roughness. Values obtained by using response surface method along with this equation were completely comparable with those achieved in the experiments. The best surface roughness value was obtained from sample D which had a tempered martensite structure.