Investigation of Microstructure and Mechanical Properties of Friction Welded Aisi 316 and Ck 45 Steels

Çelik, Sare; Ersözlü, İsmail

doi:10.1515/htmp-2013-0042

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…In order for the materials to be combined with the fusion welding, the melting temperatures must be close to each other. Therefore, materials which have different melting temperatures cannot be welded with fusion welding techniques 5 . Therefore, innovative welding methods have been focused on 6 .…”

Section: Introductionmentioning

confidence: 99%

Investigation of Mechanical Behavior of an AA5083/AA6061 Friction Stir Welding Using Modal analysis

Çavuş¹,

Koçar²

2022

Preprint

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Solid-state joining is used for welding similar or dissimilar materials due to its many advantages (avoiding fusion and formation of a thick intermetallic layer). Determination of process parameters (feed rate and rotation speed) and tool geometry (shoulder and pin) is significant in friction stir welding in order to obtain adequate weld quality. The experiments were performed using three process parameters: feed rate (mm/min), rotation speed (rpm), and pin geometry for friction stir welding of Al5083 and Al6061. Eighteen experiments were performed by varying the process parameters and mechanical tests (microhardness and tensile measurements) have been carried out to determine the weld quality. When the results were evaluated according to ultimate strength, the best result (198.5 MPa) was obtained in triangle pin geometry, 1250 rpm, and 100 mm/min parameters. The similarity was determined in the microhardness results. Effects of tool geometry, feed rate, and rotation speed on the vibration properties and weld quality are also investigated experimentally. The effects of the FSW parameters used are discussed using vibration analysis.

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Section: Introductionmentioning

confidence: 99%

Investigation of Mechanical Behavior of an AA5083/AA6061 Friction Stir Welding Using Modal analysis

Çavuş¹,

Koçar²

2022

Preprint

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“…The welding strength was tested through the tensile test. Macroand microstructure investigations of welded samples were conducted to determine the suitable welding parameters [21]. In the present study, an artificial neural network-based model is developed to predict the friction weld quality in terms of tensile strength.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network application to the friction welding of AISI 316 and Ck 45 steels

Ersözlü¹,

Çelik²

2020

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The optimization of the friction welding parameters through experimental studies does not only cause loss of time and materials but also increases the cost. In this study, an Artificial Neural Network (ANN) model is developed for the analysis of the correlation between the friction welding parameters and tensile strength of both AISI 316 austenitic-stainless steel and Ck 45 steel. The input parameters of the model are friction time, friction pressure and upset pressure while tensile strength is the output. Experimental data are used to train and test the neural network. A good correlation was obtained between the experimental values and the ANN model prediction (R 2 = 0.9711). By using this model, the number of experiments to obtain optimal parameters of friction welding and number of tensile tests could be minimized. K e y w o r d s : friction welding, AISI 316 stainless steel, Ck 45 steel, mechanical properties, Artificial Neural Network (ANN)

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“…Also, the eutectic alloys can be produced as in situ composites which are extensively used in practically industrial applications including casting, welding, soldering, etc. [3,4].…”

Section: Introductionmentioning

confidence: 99%

Halo Formation in Binary Fe-Nb Off-eutectic Alloys

Li¹,

Wang²,

et al. 2015

High Temperature Materials and Processes

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In the Fe-Fe 2 Nb eutectic system, halo formations were observed at both the hypo-and hypereutectic compositions. This observation cannot be well explained by the existing halo theories based on competitive growth or competitive nucleating alone. In the present paper, a new explanation is proposed to describe the formation of halos in the binary Fe-Fe 2 Nb off-eutectic alloys. By theo retical calculations, the α-Fe and Fe 2 Nb are predicted to be the primary growing phase in the hypo-and hypereutectic compositions, respectively. Based on the experimental observations, the Fe 2 Nb Laves phase was identified as a good nueleant for α-Fe phase, but not vice versa. By analysing of the competitive growth among the involved phases and the growth undercoolings of the two individual eutectic phases, the formation of halos in the Fe-Fe 2 Nb alloys is explained successfully.

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Investigation of Microstructure and Mechanical Properties of Friction Welded Aisi 316 and Ck 45 Steels

Cited by 10 publications

References 14 publications

Investigation of Mechanical Behavior of an AA5083/AA6061 Friction Stir Welding Using Modal analysis

Investigation of Mechanical Behavior of an AA5083/AA6061 Friction Stir Welding Using Modal analysis

Artificial Neural Network application to the friction welding of AISI 316 and Ck 45 steels

Halo Formation in Binary Fe-Nb Off-eutectic Alloys

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