Yayıncı "Redakcia Kovove Materialy" için listeleme
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Artificial Neural Network application to the friction welding of AISI 316 and Ck 45 steels
(Redakcia Kovove Materialy, 2019)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 ... -
Evaluation of welding parameters effects in friction stir welding of AZ31B mg alloy
(Redakcia Kovove Materialy, 2022)The joining of magnesium alloys with conventional fusion welding methods often causes porosity and hot cracking defects. The use of friction stir welding, a solid-state welding technique for joining Mg alloys, solves these ... -
Mechanical and microstructural properties of friction stir welded AA5083 and AA5754 aluminium alloys
(Redakcia Kovove Materialy, 2021)Friction stir welding is a solid-state welding method for joining materials having the same or different properties at temperatures below their melting points. Generally, the welding parameters affect the microstructural ...
