Wire-arc additive manufacturing of TiB/Ti6Al4V composites using Ti-TiB
            <sub>2</sub>
            cored wire: processing, microstructure and mechanical properties

Bao, Yang; Huang, Lujun; An, Qi; Liu, Yuyang; Gong, Delong; Cui, Lihua; Geng, Lin; Hong, Changqing

doi:10.1080/17452759.2024.2383287

Virtual and Physical Prototyping

2024

DOI: 10.1080/17452759.2024.2383287

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Wire-arc additive manufacturing of TiB/Ti6Al4V composites using Ti-TiB ₂ cored wire: processing, microstructure and mechanical properties

Yang Bao,

Lujun Huang,

Qi An

et al.

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2024

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Cited by 2 publications

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Revealing the underlying mechanism in controlling Young’s modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning

Liu,

Chua,

Soh

et al. 2024

Virtual and Physical Prototyping

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Revealing the underlying mechanism in controlling Young’s modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning

Liu,

Chua,

Soh

et al. 2024

Virtual and Physical Prototyping

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Development of a Mathematical Model of the Self-Shielded Flux-Cored Arc Surfacing Process for the Determination of Deposition Rate

Szymura,

Czupryński,

Ochodek

2024

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The article presents a method of developing a mathematical model of the arc surfacing process performed using the self-shielded flux-cored filler metal wire with the chromium cast iron (Fe15) weld deposit. A three-level design (static, determined, and complete) was used to determine the function of the test object, thus enabling the simulation of deposition rate in relation to wire feed speed and electrode extension. The deposition rate for the specified set of surfacing parameters amounted to between 4.31 kg/h and 11.25 kg/h. The study was also concerned with identifying the effect of the significance level of test factors and interactions between them on the resultant factor, as well as an assessment of the adequacy of the test object function. In relation to significance level α = 0.01, regression coefficients b0, b1, b2, and b11 significantly affected the deposition rate of the surfacing process. Coefficient b22 was significant at a level of 0.40, whereas coefficient b12 was significant at a level of 0.15. The mathematical model presenting the effect of wire feed speed and electrode extension, as well as interactions between them on the deposition rate of the surfacing process, was adequate for the adopted level of significance α = 0.05.

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Wire-arc additive manufacturing of TiB/Ti6Al4V composites using Ti-TiB ₂ cored wire: processing, microstructure and mechanical properties

Cited by 2 publications

References 74 publications

Revealing the underlying mechanism in controlling Young’s modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning

Revealing the underlying mechanism in controlling Young’s modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning

Development of a Mathematical Model of the Self-Shielded Flux-Cored Arc Surfacing Process for the Determination of Deposition Rate

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Wire-arc additive manufacturing of TiB/Ti6Al4V composites using Ti-TiB 2 cored wire: processing, microstructure and mechanical properties

Cited by 2 publications

References 74 publications

Revealing the underlying mechanism in controlling Young’s modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning

Revealing the underlying mechanism in controlling Young’s modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning

Development of a Mathematical Model of the Self-Shielded Flux-Cored Arc Surfacing Process for the Determination of Deposition Rate

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Product

Resources

About

Wire-arc additive manufacturing of TiB/Ti6Al4V composites using Ti-TiB ₂ cored wire: processing, microstructure and mechanical properties