Yazar "Sahin, Emrah" seçeneğine göre listele
Listeleniyor 1 - 2 / 2
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Springback Prediction Performance and Experimental Analysis in the V-bending Process of SCGADUB1180 Advanced HighStrength Steel(Hashemite Univ, 2024) Karabulut, Samet; Esen, Ismail; Sahin, EmrahThis study investigated the V -bending process of 1.2 mm thick SCGADUB1180 advanced -high -strength steel sheet plate by experimental and finite element method, and its springback behaviour was investigated in detail. In the experiments, 27 different V -bending experiments were modeled in three different punch radii (3mm, 6mm, 9mm), three different bending angle values (60 degrees, 90 degrees 120 degrees), three different rolling directions (0 degrees, 45 degrees, 90 degrees). In the experiments created with these input parameters, the effect of the sheets on the springback was investigated by comparing the experimental data with different material models. 108 analyses were performed for four different finite element models (Hill -48, Barlat-89, Hill -48 -kinematic, Barlat-89kinematic). It was analyzed that the Barlat-89-kinematic strain hardening model was the closest model to the experimental results. In addition, with the help of the Minitab 18.0 statistics program, how well the finite element model data agreed with the experimental results was analyzed. It was observed that the variation of punch radius (83.03%) and bending angle (8.51%) had a significant effect on the springback behaviour of the sheet. As the punch radius increased, the springback values increased. At the highest parameter level, where the bending angle was 120 degrees, the springback values decreased. The highest springback occurred at 90 degrees bending angle.. (c) 2024 Jordan Journal of Mechanical and Industrial Engineering. All rights reservedÖğe Statistical and Experimental Investigation of Hardened AISI H11 Steel in CNC Turning with Alternative Measurement Methods(Hindawi Ltd, 2021) Sahin, Emrah; Esen, IsmailIn recent years, hard turning, an alternative to grinding, which provides low cost and good surface quality, has become an attractive method to the manufacturers. In this experimental study, AISI H11 hot work tool steel that has been hardened up to 50 HRC was subjected to hard turning tests with coated carbide tooling. The analyses were carried out by applying response surface methodology with the analysis of variance method. A total of 27 experiments were modeled utilizing 33 full factorial design and were carried out using a CNC lathe. The effects of the cutting parameters on surface roughness, energy consumption, electric current value, and sound intensity level were investigated. Optimum cutting parameters and levels were determined according to these optimum values. The relationship between cutting parameters and output variables was analyzed with two-dimensional and three-dimensional graphics. The results show that while the most effective parameter on the surface roughness was the feed rate (88.62%), the most effective parameter on the sound intensity level was the cutting speed (44.92%). In addition, the cutting depth was the most effective parameter on both electric current (52.20%) and energy consumption (46.15%). Finally, regression coefficients were determined as a mathematical model, and it was observed that this estimated model gave results that were very similar to those achieved with real experiment (correlation values: 97.64% for surface roughness, 98.72% for energy consumption, 97.22% for electric current value, and 91.38% for sound intensity level).