Process and Parameter Optimization of the Double-Pulsed GMAW Process

Yao, Ping; Zhou, Kang; Huang, Shaobo

doi:10.3390/met9091009

Cited by 15 publications

(9 citation statements)

References 24 publications

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“…By the gas metal arc welding method, each test carried a different level of current and the weld profile was measured. Yao, Zhou and Huang [17] also applied a optimization process based on the imput parameters of a welding robot. Those parameters were organized into an orthogonal experimental design with nine experiments of three levels.…”

Section: Iceubi2019mentioning

confidence: 99%

Optimization and Influence of GMAW Parameters for Weld Geometrical and Mechanical Properties Using the Taguchi Method and Variance Analysis

Casarini

Coelho

Olívio

et al. 2020

KEG

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Gas metal arc welding is one of the arc fusion processes that is widely used in industry due to its high efficiency. The correct selection of the input parameters has direct influence on the weld quality and, with the control of those parameters, it is possible to reduce the amount of weld material, improve its properties and then increase the productivity of the process. This study intends to take a group of weld parameters and submit them to the optimization by the Taguchi Method and check the influence of those through a Variance Analysis (ANOVA). An L9 orthogonal array gathered three parameters (weld voltage, weld speed and weld torch angle) into three levels, then, with all combinations set and performed, the macrography and the transversal tensile strength test provided, respectively, the geometrical and the mechanical properties. The signal-to-noise ratios enable the optimization and the ANOVA provided the influence of the input parameters on the response parameters. The weld speed appeared as the most influent parameter for the weld geometry, contributing 63.54% to reinforcement, 66.36% to width and 66.94% to penetration, and the weld torch angle the most influent to the ultimate transversal tensile strength (41.39%). The optimum levels to the reinforcement are 22.4 [V], 400 [mm/min] and 30 [°], to the width 22.4 [V], 300 [mm/min], 0 [°], to the penetration 23.3 [V], 400 [mm/min], 0 [°] and, lastly, to the ultimate transversal tensile strength 24.1 [V], 200 [mm/min], 15 [°]. The Taguchi method showed to be suitable for this kind of problem and giving an efficient experiment design and good results. Keywords: Taguchi method, Optimization, GMAW

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Section: Iceubi2019mentioning

confidence: 99%

Optimization and Influence of GMAW Parameters for Weld Geometrical and Mechanical Properties Using the Taguchi Method and Variance Analysis

Casarini

Coelho

Olívio

et al. 2020

KEG

View full text Add to dashboard Cite

show abstract

“…However, key processing parameters can vary between the different types of AM and must be incorporated into the models. Yao, Zhou, and Huang [28] analyzed the double-pulsed gas metal arc welding (DP-GMAW) and provided a framework to determine influential process parameters for double-pulsed gas metal arc welding (DP-GMAW). Utilizing their framework, they were able to determine the optimal processing parameters needed to generate optimal weld beads for prints.…”

Section: Introductionmentioning

confidence: 99%

Predicting the Strength of EBAM 3D Printed Ti-6Al-4V from Processing Conditions

Johnson

Peters

Harlow

et al. 2022

Metals

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In this study, a process-to-property linear regression model was developed to predict the yield and ultimate tensile strengths of as printed Ti-6Al-4V from electron beam additive manufacturing (EBAM). A total of 8 printing conditions such as bead width, wire feed rate, deposition speed were utilized to predict the material properties in three different notional parts produced over a period of several months. It was found that as the precision and variety of processing conditions collected during print improved between prints, so did the predictive ability of the model. In the final print, the model predicted the yield and ultimate strengths of 72 specimens with an R2 correlation of 0.8 and 0.6 for the horizontal and vertical test specimens, respectively. Although the current model indirectly accounted for thermal fluctuations, further improvements to the model’s ability to predict material strength are expected with the addition of thermal data captured in subsequent notional parts.

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“…Because of the electric explosion of the liquid bridge before the arcing period, the spatters are inevitably produced in short-circuiting transfer under the condition of short arc and low current [3]. This drawback can be overcome by pulsed GMAW technology due to the special pulse waveform and droplet transfer mode [4][5][6][7][8]. Besides, pulsed GMAW also has the advantages of controllable heat input and all position welding [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Droplet Transfer Modes on Appearance, Microstructure, and Mechanical Properties of Weld during Pulsed GMAW

Zhai

Xue

Wang

et al. 2020

Metals

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Droplet transfer plays a crucial role in welding stability and quality of pulsed gas metal arc weld (GMAW), referring to the process of heat and mass transition. In this work, the appearance, microstructure, microhardness, tensile properties, and impact toughness with three typical modes of droplet transfer in pulsed GMAW (ODMP: one drop per multiple pulses; ODPP: one drop per pulse; MDPP: multiple drops per pulse) were studied and compared. The results showed that the better welding appearance, the deeper penetration, and the less fume covered on the steel plate could be found during the ODPP welding process. At the same wire feeding speed and arc length, the average current was similar in ODPP and MDPP conditions. However, the average current in the ODMP condition was about 15 A larger than the other two, contributing to the higher heat input. Compared with MDPP and ODMP, the longest elongation and impact energy of the welded joint were found in the ODPP condition. Furthermore, the decrease of elongation and impact toughness in the ODMP condition might result from the higher heat input and the coarsen microstructure, like the proeutectoid ferrite and ferrite side plate.

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Process and Parameter Optimization of the Double-Pulsed GMAW Process

Cited by 15 publications

References 24 publications

Optimization and Influence of GMAW Parameters for Weld Geometrical and Mechanical Properties Using the Taguchi Method and Variance Analysis

Optimization and Influence of GMAW Parameters for Weld Geometrical and Mechanical Properties Using the Taguchi Method and Variance Analysis

Predicting the Strength of EBAM 3D Printed Ti-6Al-4V from Processing Conditions

Comparative Study of Droplet Transfer Modes on Appearance, Microstructure, and Mechanical Properties of Weld during Pulsed GMAW

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