Macrosegregation in the Weld Pool in Metal Inert-Gas Welding of Aluminium

Murphy, Anthony B.; Chen, Fiona F.; Xiang, Junting; Wang, Huiping; Thomas, David G.; Feng, Yuqing

doi:10.1016/j.jmapro.2020.10.083

Cited by 8 publications

(4 citation statements)

References 38 publications

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“…The first, for the metal vapour mass fraction, accounts for the vaporisation of the liquid metal surfaces and the transport of the metal vapour in the arc [32]. The second, for the wire alloy mass fraction, treats the flow and mixing of the wire and workpiece alloys in the weld pool when these alloys are different [33,34]. The equations and boundary conditions have been presented previously; the most comprehensive description was given in Ref.…”

Section: The Computational Model Of Mig/mag Weldingmentioning

confidence: 99%

“…The equations and boundary conditions have been presented previously; the most comprehensive description was given in Ref. [34].…”

Section: The Computational Model Of Mig/mag Weldingmentioning

confidence: 99%

“…Since these calculations are time-consuming, the properties were pre-calculated and placed in a look-up table accessed by the code. The thermophysical properties of the liquid and solid metals are calculated directly in the code, using expressions fitted to selected literature data [34].…”

Section: The Computational Model Of Mig/mag Weldingmentioning

confidence: 99%

“…The predicted distribution of the wire and workpiece alloys in the weld with the measured atomic composition of the welded metal [34];…”

mentioning

confidence: 97%

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Transforming a Computational Model from a Research Tool to a Software Product: A Case Study from Arc Welding Research

et al. 2023

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Arc welding is a thermal plasma process widely used to join metals. An arc welding model that couples fluid dynamic and electromagnetic equations was initially developed as a research tool. Subsequently, it was applied to improve and optimise industrial implementations of arc welding. The model includes the arc plasma, the electrode, and the workpiece in the computational domain. It incorporates several features to ensure numerical accuracy and reduce computation time and memory requirements. The arc welding code has been refactored into commercial-grade Windows software, ArcWeld, to address the needs of industrial customers. The methods used to develop ArcWeld and its extension to new arc welding regimes, which used the Workspace workflow platform, are presented. The transformation of the model to an integrated software application means that non-experts can now run the code after only elementary training. The user can easily visualise the results, improving the ability to analyse and generate insights into the arc welding process being modelled. These changes mean that scientific progress is accelerated, and that the software can be used in industry and assist welders’ training. The methods used are transferrable to many other research codes.

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Section: The Computational Model Of Mig/mag Weldingmentioning

confidence: 99%

“…The equations and boundary conditions have been presented previously; the most comprehensive description was given in Ref. [34].…”

Section: The Computational Model Of Mig/mag Weldingmentioning

confidence: 99%

Section: The Computational Model Of Mig/mag Weldingmentioning

confidence: 99%

“…The predicted distribution of the wire and workpiece alloys in the weld with the measured atomic composition of the welded metal [34];…”

mentioning

confidence: 97%

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Transforming a Computational Model from a Research Tool to a Software Product: A Case Study from Arc Welding Research

et al. 2023

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Computational modelling of thermal plasmas for industry

Murphy

2024

Rev. Mod. Plasma Phys.

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Thermal plasma processes are widely used in industrial applications, including arc welding, plasma cutting, plasma spraying, waste treatment and particle spheroidisation. Computational modelling of such processes is widely used by academic researchers and is increasingly used in industry. This paper considers different ways in which academic researchers can assist industry with their modelling requirements. Three case studies based on the author’s work are presented. The first concerns the arc plasma formed in high-voltage circuit breakers. In this case, the thermophysical properties of the plasmas formed from several gas mixtures were calculated and provided to a company for use in their own model. The results obtained played an important role in designing a high-voltage circuit breaker using a gas mixture containing (CF3)2CFCN to replace the standard SF6 gas. In the second case, a model of a plasma waste treatment process was developed and run, and the results of the model were provided to industrial collaborators. The model solved a critical problem in the destruction of ozone-depleting substances by predicting that adding steam to the ozone-depleting substance prevented the formation of other ozone-depleting substances in the process. In the final case, an in-house computational model of arc welding was extended to industrially relevant welding geometries, packaged as Windows software, and then transferred to industrial users. The requirements of each case are considered, and the benefits to the academic researcher and industry are discussed.

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