Influence of the welding parameters on the heat affected zone for aluminium welding
Thermal Science, 2016 This work analyzes the heat affected zone in an aluminum alloy welded assembly using the metal inert gas welding technique. Making use of numerical simulations of the involved thermal processes, the aluminum alloy cooling curve is calculated and the extension of the heat affected zone is evaluated.
Meseguer Valdenebro, José Luis +3 more
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Parametric Optimization of Laser Conduction Welding between Stainless Steel 316 and Polyethylene Terephthalate Using Taguchi Method [PDF]
Engineering and Technology Journal, 2022 A pulsed Nd:YAG laser with a fiber optic delivery system was used to accomplish a dissimilar joining of 316 stainless steel (SUS316) to polyethylene terephthalate (PET).
Maraw Khioon +2 more
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Effect of Welding Parameters on Weld Bead Shape for Welds Done Underwater [PDF]
International Journal of Mechanical Engineering and Applications, 2014 The desire to model a control system so as to optimize the welding process parameters and the effect of the environment during underwater wet welding makes it necessary to study the effects of these parameters as it affects the weld bead geometry of welds achieved in underwater welding. The objective of this paper is to analyze how welding arc current,
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Weldability studies and parameter optimization of AISI 904L super austenitic stainless steel using friction welding [PDF]
Materials Research, 2014 Welding input parameters play a very significant role in determining the quality of a weld joint. The quality of the joint can be defined in terms of mechanical properties, distortion and weld-bead geometry.
Karupanan Balamurugan +3 more
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Optimization of tensile strength of ferritic / austenitic laser welded components [PDF]
, 2008 Ferritic/Austenitic (F/A) joints are a popular dissimilar metals combination used in many applications. F/A joints are usually produced using conventional processes.
Anawa, E. +3 more
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Laser–Arc Welding Adaptive Model of Multi-Pre-Welding Condition Based on GA-BP Neural Network
MetalsIn large welding structures, maintaining a uniform assembly condition and machined dimension in the pre-welding groove is challenging. The assembly condition and machined dimension of the pre-welding groove significantly impact the selection of the ...
Zesheng Wu, Zhaodong Zhang, Gang Song
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An Improvement in Welded Joint Using Vibration Assisted Arc Welding
MATEC Web of Conferences, 2018 Welding is one of the important processes in mechanical engineering. In engineering sector, welding is a common phenomenon. To improve the quality of joining process, essential changes are necessary in regular welding process.
Habib Mohammad Ahsan +6 more
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PARAMETERS FORECASTING OF LASER WELDING BY THE ARTIFICIAL INTELLIGENCE TECHNIQUES
Facta Universitatis. Series: Mechanical Engineering, 2018 Laser welding process is used in many industrial sectors. One of the most important aspects of the laser welding quality refers to the geometrical and mechanical properties of welding joints.
Vlastimir Nikolić +4 more
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Optimization and Modelling of Resistance Spot Welding Process Parameters for Quality Improvement Using Taguchi Method and Artificial Neural Network [PDF]
Iranian Journal of Materials Science and Engineering, 2022 This paper investigated the optimization, modelling and effect of welding parameters on the tensile shear load bearing capacity of double pulse resistance spot welded DP590 steel. Optimization of welding parameters was performed using the Taguchi design
Imtiaz Ali Soomro +5 more
doaj
Control of the weld quality using welding parameters in a robotic welding process
Journal of Achievements in Materials and Manufacturing Engineering, 2018 Purpose: Since the welding automations have widely been required for industries and engineering, the development of the predicted model has become more important for the increased demands for the automatic welding systems where a poor welding quality becomes apparent if the welding parameters are not controlled.
M.-H. Park +5 more
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