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Fude Wang

Researcher at Cranfield University

Publications -  17
Citations -  1558

Fude Wang is an academic researcher from Cranfield University. The author has contributed to research in topics: Microstructure & Alloy. The author has an hindex of 6, co-authored 6 publications receiving 1119 citations.

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Microstructure and Mechanical Properties of Wire and Arc Additive Manufactured Ti-6Al-4V

TL;DR: In this paper, the macrostructure, microstructure and mechanical properties of a Ti-6Al-4V alloy after WAAM deposition have been investigated, and the average yield and ultimate tensile strengths of the as-deposited material were found to be slightly lower than those for a forged Ti- 6Al 4V bar (MIL-T 9047), however, the ductility was similar and the mean fatigue life was significantly higher.
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Thermo-mechanical analysis of Wire and Arc Additive Layer Manufacturing process on large multi-layer parts

TL;DR: In this article, the authors describe the thermo-mechanical behavior of the multi-layer wall structure made by the wire and arc additive layer manufacturing (WAALM) process.
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Morphology investigation on direct current pulsed gas tungsten arc welded additive layer manufactured Ti6Al4V alloy.

TL;DR: In this article, the effects of pulsed gas tungsten arc welding parameters on the morphology of additive layer manufactured Ti6Al4V has been investigated and it was found that the wire feed rate has a considerable effect on the prior beta grain refinement at a given heat input.
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Mechanical property study on rapid additive layer manufacture Hastelloy® X alloy by selective laser melting technology

TL;DR: In this paper, the as-deposited selective laser-melted Hastelloy® X specimen is compared with the heat-treated (hot forged) samples, and the yield strength is higher than that of the hot forged samples.
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A computationally efficient finite element model of wire and arc additive manufacture

TL;DR: In this paper, the stress evolution during the thermal cycles of the WAAM process was investigated with the help of a transient thermomechanical finite element (FE) model, which can save the computational time by 99% and produce distortion and residual stress predictions that were nearly identical to the original transient model and the experimental results.