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    Deformation behavior and formability of friction stir processed DP600 steel
    (De Gruyter Poland Sp Z O O, 2022) Yilmaz, Imren Ozturk; Yilmaz, Mumin; Saray, Onur
    The effect of friction stir processing (FSP) on the formability of DP600 steel was experimentally investigated and the basic relationships between biaxial deformation behavior and FSP-induced evolutions in microstructural and mechanical properties were established. FSP formed a microstructure that consists of lath martensite with increased volume fraction compared to as-received (AR) microstructure that mainly consisted of well-distributed fine martensite particles in a ferrite matrix. Consequently, AR yield strength (301 MPa) and ultimate tensile strength (621 MPa) increased to about 811 and 1054 MPa, respectively. This strength enhancement achieved accompanied by adequate uniform elongation and elongation to failure values of 6.3 and 13.0%, respectively. Under biaxial loading conditions, good strain hardenability of the AR DP600 steel brought about a large membrane stretching regime leading to high punch force for biaxial flow. After FSP, both punch displacements within the membrane stretching regime decreased due to the increased volume fraction of lath martensite leading to higher cracking tendency. In result, cup depth and peak punch force of FSPed DP600 decreased from 8.7 mm and 33.2 kN to 7.1 mm and 28.1 kN, respectively. The obtained results simply indicate that FSP can be employed to enhance the strength of dual-phase steels with a reasonable level of formability.
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    Effect of friction stir processing on fatigue behavior of thin Dual Phase (DP600) steel sheets
    (TANGER Ltd., 2018) Saray, Onur; Yilmaz, Mumin; Yilmaz, Imren Ozturk
    In this study, effects of Friction Stir Processing (FSP) on the deformation behavior of Dual Phase (DP600) steel sheets under static and cyclic loading were investigated. Fatigue tests were performed at a frequency of 15 Hz during repeated tension at a cycle asymmetry R = 0 and 10 6 loading cycles. DP600 steel reflected yield strength (? y ) of 301 MPa and ultimate tensile strength (? UTS ) of 621 MPa with uniform elongation of 21.3% and fractured after a total elongation of 34.7% in its as-received condition. After FSP, it was observed that the yield strength increased to 811 MPa and the ultimate tensile strength reached to 1054 MPa. This effective strength enhancement brought an acceptable decrease in ductility of the DP600 steel resulting in uniform elongation and elongation to failure of 6.3% and 13.0%, respectively. Based on obtained ductility values, it can be considered that, FSPed DP600 shows a deformation behavior that mostly dominated by the strain hardening. Static strength enhancement obtained by FSP of DP600 steel also yielded a favorable effect on the fatigue behavior and stress level leading to transition to the infinite life. As a result of the fatigue tests, it was determined that the fatigue limit of the as-received DP600 steel increased from 350 MPa to 480 MPa after the applied FSP. Experimental results obtained in the study mainly indicate that, FSP is an easy to apply and practical procedure which provides significant enhancement on the mechanical performance of DP600 steel under both static and cyclic loading conditions. © 2018 TANGER Ltd., Ostrava.
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    Otomotiv Üretim Hatlarindaki 3D Parçalarin Kalite Kontrolü Için Endüstri 4.0 Ile Uyumlu Yapay Görme Sisteminin Geliştirilmesi
    (Institute of Electrical and Electronics Engineers Inc., 2022) Bayrak, Gökay; Cakiroglu, Abdullah; Yilmaz, Imren Ozturk; Bilici, Abdullah Yasin; Candemir, Yasin Atalay
    Image processing technology is a technology that is increasingly used in almost all sectors and continues to develop today. When its usage areas are examined, it is frequently used in mold design and manufacturing, metal part production, and quality control applications after sheet metal forming. The most important advantages of image processing technology are that it reduces human labor, has a low error rate, and accelerates the processing time in the area where it is used. In this study, a machine vision system compatible with Industry 4.0 has been developed for the quality control of 3D parts in automotive production lines. An image processing-based quality control system, which is compatible with Industry 4.0, is designed with a high control sensitivity compared to existing methods, low processing time, and error detection of post-production parts, various metric measurements. The designed system consists of two main parts, the control software, and the image acquisition cabinet. First, the raw image taken in the image acquisition cabinet with appropriate lighting was transferred to the image processing software and then all the measurement results were obtained. Image processing software was performed with LabVIEW Vision Builder AI (Automated Inspection) program. A suitable software infrastructure was created for the parts by performing pixel-based measurements and morphological operations on the image. When the results obtained are examined, it is seen that error detection and measurement processes can be performed with an error rate of less than 0.04%. © 2022 IEEE.