MATEC Web of Conferences · 2019 · 29 citations · 17 references
EngineeringManufacturing EngineeringMaterials EngineeringAdditive ManufacturingFinite Element AnalysisManufacturing ProcessesArc WeldingComputational Solid MechanicsMetal Additive ManufacturingRobotic WeldingWelding ProcessesWelding RoboticsArc Welding DistortionDistortion PredictionFinite Element Thermomechanical AnalysisLow-carbon SteelRobotic Arc WeldingWelding DistortionWelding SimulationWire Arc Additive Manufacturing
In this research, Wire Arc Additive Manufacturing is modelled and simulated to determine the most suitable bead modelling strategy. This analysis is aimed to predict distortion by means of thermomechanical Finite Element Method (FEM). The product model with wire as feedstock on plate as substrate and process simulation are designed in form of multi-layered beads and single string using MSC Marc/Mentat. This research begins with finding suitable WAAM parameters which takes into account the bead quality. This is done by using robotic welding system with 01.2mm filler wire (AWS A5.28 : ER80SNi1), shielding gas (80% Ar/ 20% CO 2 ) and 6mm-thick low carbon steel as base plate. Further, modelling as well as simulation are to be conducted with regards to bead spreading of each layers. Two different geometrical modelling regarding the weld bead are modelled which are arc and rectangular shape. Equivalent material properties from database and previous researches are implemented into simulation to ensure a realistic resemblance. It is shown that bead modelling with rectangular shape exhibits faster computational time with less error percentage on distortion result compared to arc shape. Moreover, by using the rectangular shape, the element and meshing are much easier to be designed rather than arc shape bead.
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Wire + Arc Additive Manufacturing
Stewart Williams, Filomeno Martina, Adrian Addison et al. · Materials Science and Technology · 2015 · 1.8K citations · Full text
Engineering, Manufacturing Engineering, Materials Engineering +17
Jianglong Gu, Xiaoshu Wang, Jing Bai et al. · Materials Science and Engineering A · 2017 · 250 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +16
Jun Xiong, Yanjiang Li, Rong Li et al. · Journal of Materials Processing Technology · 2017 · 237 citations
Engineering, Manufacturing Engineering, Materials Engineering +14