Weld-metal property optimization from flux ingredients through mixture experiments and mathematical programming approach

Adeyeye, Ademola David; Oyawale, F. A.

doi:10.1590/s1516-14392009000300015

Cited by 8 publications

(16 citation statements)

References 15 publications

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“…Prior to the last one-decade, the methods of obtaining optimal welding flux had been by lengthy and expensive experiments and the flux so developed could not be guaranteed to be optimum because of the random nature of the process and paucity of means of ascertaining optimality [1,2]. To ameliorate this problem, Adeyeye and Oyawale [2] proposed an optimisation model for single flux design objective situation. The single flux design criterion optimisation approach was later extended to handle multiple flux design criteria situations [3,4].…”

Section: Introductionmentioning

confidence: 99%

Framework for incorporating stakeholders’ preferences in lifecycle welding flux design

Adeyeye¹,

Osinubi²

2021

Global J. Eng. Tech. Adv.

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Welding flux design involves optimising multiple quality attributes which are often conflicting and are of varying degree of concern to the stakeholders. The attributes are often selected as design criteria and are sometimes at different levels in the hierarchy such as primary, secondary and tertiary attributes. The articulation and incorporation of the opinions of stakeholders concerning the intensity of importance attached to each attribute at all the levels in the hierarchy in the optimisation process has remained a challenge. In this study, a framework was proposed for the articulation and incorporation of the preferences of stakeholders concerning all levels of attributes and illustrated with a lifecycle welding flux design case from the literature involving 5, 21 and 25 primary, secondary and tertiary criteria, respectively. Fifteen out of the 21 secondary criteria could not be further unbundled and were added to the tertiary criteria to make 40 lowest level criteria. The subjective judgements of stakeholders were converted to weighting coefficients using the analytical hierarchy process. The coefficients for the lowest level criteria were converted to global weights which were the preference indices for use in the optimisation models. Based on the values of , moisture pick-up, extrudability and slag detachability were ranked 1st , 2nd , and 3rd respectively and the respective 38th, 39th and 40th lowest level criteria were fume generation, dilution and charpy impart strength.

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Section: Introductionmentioning

confidence: 99%

Framework for incorporating stakeholders’ preferences in lifecycle welding flux design

Adeyeye¹,

Osinubi²

2021

Global J. Eng. Tech. Adv.

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“…The researchers suggested the optimum combination of additives CaO 11.61%, Al 2 O 3 12.32%, CaF 2 15% and MgO 39%. Adeyeye and Oyawale (2009) used a mathematical programming optimisation technique integrated with the statistical design of mixture experiments. The researchers optimised the weld metal properties for the given flux ingredients.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of flux for submerged arc weld properties based on RSM coupled with GRA and PCA

Singh¹,

Khan²,

Siddiquee³

et al. 2020

IJMTM

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This paper presents an effective approach for the selection of flux for optimised mechanical properties of low carbon steel welds. The weld is mainly characterised by impact strength, ultimate tensile strength, percentage elongation and hardness. Since the mechanical performance is measured by multiple performance characteristics, the grey relational analysis is used to determine the optimal combination of flux for mechanical properties. Moreover, principal component analysis has been used to evaluate the weighting values for various performance characteristics so that their relative importance can be properly considered. Fluxes were designed using RSM and have been developed through agglomeration technique. By analysing the grey relational grade, it is found that both the impact strength and ultimate tensile strength have the same weightage. The results of confirmation test obtained using this approach show that the GRA coupled with PCA can be effectively used for optimisation of flux for mechanical performance characteristics.

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“…As a result, the mechanical and metallurgical properties of the weld metal get affected. [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] This work studies the elongation of low-carbon steel weld joint, which is the most important property to be imparted to the weld metal.…”

Section: Introductionmentioning

confidence: 99%

Modeling and analysis of elongation for submerged arc-welded joints by using developed agglomerated fluxes

Kumar¹,

Singh

Maheshwari

2013

Proceedings of the Institution of Mechanical Engineers, Part B:

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This study explores the elongation of submerged arc-welded joints by using developed agglomerated fluxes. The response surface methodology technique was used to conduct the experiments. MnO, CaF2, NiO, MgO, and Fe-Cr were added to the fluxes comprising CaO, SiO2, and Al2O3 as the main constituents. The effect of the addition was studied by means of mechanical performances of the welds in terms of elongation. The elongation of weld metal increases with the increase in MnO, MgO, and Fe-Cr constituents, but CaF2 and NiO constituents did not reveal favorable sign unlike the other three constituents mentioned here. The recommended optimal conditions were verified by conducting confirmation experiments.

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Weld-metal property optimization from flux ingredients through mixture experiments and mathematical programming approach

Cited by 8 publications

References 15 publications

Framework for incorporating stakeholders’ preferences in lifecycle welding flux design

Framework for incorporating stakeholders’ preferences in lifecycle welding flux design

Optimal design of flux for submerged arc weld properties based on RSM coupled with GRA and PCA

Modeling and analysis of elongation for submerged arc-welded joints by using developed agglomerated fluxes

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