Parametric study and optimization of GMAW based AM process for Multi-layer bead deposition

Kumar, V.; Sahu, Deepti Ranjan; Mandal, Amitava

doi:10.1016/j.matpr.2022.03.223

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…The WAAM technology comprises a welding machine such as MIG, TIG, or PAW setup integrated with a numerically controlled computer (CNC) table or robotic arm [13]. The configuration supply arc energy to melt and deposit metallic filler wire as the feedstock material.…”

Section: Materials Properties and Geometrymentioning

confidence: 99%

Simulation of Metallic Wire-Arc Additive Manufacturing (Waam) Process Using Simufact Welding Software

Kumar,

Singh,

Bishwakarma

et al. 2023

JME

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Wire arc additive manufacturing (WAAM) is one of the emerging low-cost metal additive manufacturing techniques used to fabricate medium-large complex structures. The process provides design flexibility, supports green manufacturing, power efficiency, good structural integrity, high performance, and cost benefits, particularly for large-scale components. However, the heating and cooling cycle prevails during the deposition of material layer upon layer resulting in heat accumulation within the deposited layers. It causes geometric inaccuracy, surface roughness, high residual stresses, and mechanical anisotropy in the built structures. Therefore, SIMUFACT-Welding software has been used to model and simulate the WAAM process to fabricate a straight steel wall structure. The simulated results were able to visualize the existing thermal cycle during layer deposition and the effect of heat input on the fabricated wall structure and the substrate.

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Section: Materials Properties and Geometrymentioning

confidence: 99%

Simulation of Metallic Wire-Arc Additive Manufacturing (Waam) Process Using Simufact Welding Software

Kumar,

Singh,

Bishwakarma

et al. 2023

JME

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“…It is known that coating processes, especially those involving heat input such as welding, require that their products have specified characteristics for validation of the procedure, such as low dilution and penetration values, in addition to optimal ratios of reinforcement and deposit width. In this context, it is extremely important to understand how the multiple input variables of the process influence the characteristics of the deposits, through experimental techniques [9,10], ANOVA [7,11], and neural network application [12,13]. In this context, prospective studies on the analysis of the effect of heat input and selection of welding parameters to obtain weld overlays in austenitic stainless steel 316L-Si by the GMAW process are of great relevance for the understanding and optimization of the physical and metallurgical properties in coatings for industrial application, as well as the growth of the technical bibliography specialized in welding.…”

Section: Introductionmentioning

confidence: 99%

Effect of GMAW Process Parameters and Heat Input on Weld Overlay of Austenitic Stainless Steel 316L-Si

Souto,

Ferreira,

Lima

et al. 2023

Soldag. insp.

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Overlay welding with stainless steels has gained attention in several sectors of industry by increasing the mechanical and electrochemical properties of surfaces, in order to obtain them using lower cost substrates. However, the control of welding parameters can become complex due to the multiple control variables, being of interest to obtain deposits with greater productivity. In this context, the objective of this paper is to analyze the effect of the heat input on weld overlays of austenitic stainless steel 316L-Si obtained by the GMAW process, to determine the best welding conditions. For this, a Design of Experiments was implemented to analyze the response variables, which include heat input, reinforcement, width, dilution and hardness of the weld metal. The models were considered significant, presenting R 2 >0.9 for all responses, based on a 95% confidence limit. Surface graphs indicated influence of welding speed or/and voltage for all responses, in addition to the results demonstrating optimal parameters for overlays such as high ratio between reinforcement and width (0.631), and low dilution values (8.81%). The microstructural analysis indicated the presence of residual γ-austenite and δ-ferrite in all samples, and also the formation of peninsulas and islands, added to defects such as voids, for some weld deposits.

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“…GMAW is a widely used arc welding process and has been used to carry out additive manufacturing and to prepare coatings [24][25][26][27][28][29][30][31][32][33][34]. However, it is difficult to prepare HEA/MEA coatings by the traditional GMAW process.…”

Section: Introductionmentioning

confidence: 99%

Preparation of medium-entropy alloy coating using GMAW cladding with MoFe₃TiNiCu cable-type welding wire

Wang

Zhang

Wang

2023

Materials Science and Technology

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The Mo–Fe–Ti–Ni–Cu medium-entropy alloy (MEA) coating was prepared based on a GMAW – Robotic Integrated Cladding System with the MoFe3TiNiCu cable-type welding wire (CWW) containing 1-Mo, 3-Fe, 1-Ti, 1-Ni and 1-Cu pure metallic wires. The produced MEA coating is composed of FCC major phase and BCC minor phase. The hardness of the produced MEA coating is between 400 HV and 450 HV, while the substrate is about 190 HV. The produced MEA coating can greatly improve the wear resistance of the substrate, and its friction coefficient is 0.4, which is far lower than that of the substrate (0.65).

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Parametric study and optimization of GMAW based AM process for Multi-layer bead deposition

Cited by 8 publications

References 7 publications

Simulation of Metallic Wire-Arc Additive Manufacturing (Waam) Process Using Simufact Welding Software

Simulation of Metallic Wire-Arc Additive Manufacturing (Waam) Process Using Simufact Welding Software

Effect of GMAW Process Parameters and Heat Input on Weld Overlay of Austenitic Stainless Steel 316L-Si

Preparation of medium-entropy alloy coating using GMAW cladding with MoFe₃TiNiCu cable-type welding wire

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Parametric study and optimization of GMAW based AM process for Multi-layer bead deposition

Cited by 8 publications

References 7 publications

Simulation of Metallic Wire-Arc Additive Manufacturing (Waam) Process Using Simufact Welding Software

Simulation of Metallic Wire-Arc Additive Manufacturing (Waam) Process Using Simufact Welding Software

Effect of GMAW Process Parameters and Heat Input on Weld Overlay of Austenitic Stainless Steel 316L-Si

Preparation of medium-entropy alloy coating using GMAW cladding with MoFe3TiNiCu cable-type welding wire

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Preparation of medium-entropy alloy coating using GMAW cladding with MoFe₃TiNiCu cable-type welding wire