The impact of laser welding parameters on the mechanical properties of the weld [PDF]
AIP Conference Proceedings, 2018 Norbert Radek +2 more
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Friction stir welding of commercially available superplastic aluminium
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A series of Friction Stir Welds (FSW) has been produced in order to optimise tool designs and weld/process variables to minimise flaws in the weld and ...
Minton, Timothy J
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Monitoring Of Main Welding Parameters At STT Welding Process
, 2005 The paper presents basic information of new, modern and high efficiency welding process ; STT process (Surface Tension Transfer). This welding process is successfully used for performing of root passes at thick steamboilers pipes and chambers. An example of welding parameters recorded by own on-line monitoring system during performing a root pass at ...
Dunđer, Marko +2 more
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Effect of Friction Stir Welding Parameters on Mechanical Properties and Formability of Pre-Hardened 2219 Aluminum Alloy. [PDF]
Materials (Basel)Ye X, Meng X, Pang Q, Zhang S.
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Study on the Influence of Ultrafast Laser Welding Parameters on Glass Bonding Performance. [PDF]
Micromachines (Basel)Xing A +5 more
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, 2008 Fusion welding remains the most common and convenient fabrication method for large, thinplate welded structures. However, the resulting tendency to out-of-plane distortion exacts severe design and fabrication penalties in terms of poorer buckling ...
Camilleri, D., Gray, T.G.F., Nash, D.H.
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Optimizing Friction Stir Spot Welding Parameters for Enhanced Mechanical, Thermal, and Microstructural Properties of PA6. [PDF]
Polymers (Basel)Danış Bekdemir A, Karagöz İ.
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Optimization of friction stir welding parameters for enhanced mechanical properties of AISI 1018 carbon steel. [PDF]
Sci RepBhatia A +4 more
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Optimization of Rotary Friction Welding Parameters Through AI-Augmented Digital Twin Systems. [PDF]
Materials (Basel)Lacki P, Adamus J, Lachs K, Lacki W.
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Optimization of Welding Parameters Using an Improved Hill-Climbing Algorithm Based on BP Neural Network for Multi-Bead Weld Smoothness Control. [PDF]
Materials (Basel)Tong Y, Quan GZ, Wang HT, Xiong W.
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